We use optional analytics to improve this site and marketing technology to identify business visitors for relevant outreach. You can allow all, decline optional use, or choose categories. Privacy policy

    Skip to main content

    Research · Evergreen market map

    AI rollups and AI-native private equity: the 2026 market map

    A new category of firm is buying, or economically aligning with, established businesses and transforming them with embedded AI teams. We reviewed 80+ owner-operators, acquisition platforms, and transformation firms, then graded each on public evidence. The few with verified results are listed here, alongside the honest reservations. Demos, projected margins, and branded "AI OS" claims did not count. If you own one of the businesses this category is buying, this page is also a map of your options: start here.

    By Christian Ulstrup · Published August 19, 2026 · Updated September 8, 2026 · Methodology

    Own or operate a business?

    Find one workflow where AI could create measurable value in your company.

    Free four-minute diagnostic. Complimentary 30-minute fit call.

    At a glance

    45 firms, graded on what they can prove

    Down the side: how strong the public evidence is. Across the top: what kind of firm it is. Click any firm to jump to its full profile, sources, and the reservation we attached to it.

    Grade / model

    Owner-operators and rollup platforms

    20 firms

    Transformation partners

    14 firms

    Capital providers

    3 firms

    Conventional PE benchmarks

    8 firms

    Grade A: Third-party verified
    none yet
    none yet
    none yet
    Grade B: Company-reported
    Grade C: Thesis only
    ANamed outcome verified by a credible third partyBCompany- or investor-reported, covered by credible pressCReal thesis, no publicly verifiable outcome yet

    The category

    What is an AI rollup? Three operating models, one thesis

    An AI rollup (also written AI roll-up, or AI-enabled roll-up in General Catalyst's coinage) buys established services businesses and deploys a reusable AI layer across them, usually holding the companies instead of flipping them. General Catalyst's Madhu Namburi calls the end state "service as software." The shared thesis: AI has collapsed the cost of transforming an established business, so whoever pairs capital with a reusable transformation capability captures the enterprise-value uplift. Three operating structures compete to do it, financed by a fourth group that funds rather than operates.

    1. Integrated owner-operators

    Acquire companies outright and transform them with in-house engineering. General Catalyst calls the acquisition-heavy version an "AI-enabled roll-up."

    2. Transformation partners

    Embed technical teams in businesses they do not own, compensated in fees, outcomes, or equity. This is the lane Caritas operates in; see the disclosure below.

    3. Conventional PE with AI programs

    Established funds running structured AI value-creation programs across existing portfolios. Still the benchmark for measurement discipline.

    Plus: the capital providers

    Investors that finance and co-create these platforms without operating them themselves. General Catalyst's Creation strategy coined the category's name; Tenet is a fund built to seed European rollups. Both appear on the map in their own column.

    For owners

    Reading this map as a business owner

    If you own an established services business, every firm on this page represents one of four paths to the same destination: a business that runs on an AI operating layer. The paths differ in what you give up to get there.

    1. Sell to a permanent-capital owner-operator

    Thrive Holdings, Long Lake, and Multiplier Holdings buy businesses outright, hold them indefinitely, and typically leave selling partners with meaningful equity. You get liquidity, and the transformation is done to the business you built. The owner-operator lane above shows what each buyer can prove so far.

    2. Join a venture-backed platform

    Crescendo, Eudia, and Dwelly run the same playbook on a fund clock: faster capital, an expected exit, and terms that usually include rollover equity. The evidence-maturing lane grades what is proven so far.

    3. Keep ownership and bring in the operating layer

    Transformation partners embed the same kind of engineering capability in a business they do not own, paid in fees or outcomes, and the margin they help create stays on your side of the table. Caritas operates in this lane; the disclosure below applies.

    4. Build it yourself, with guardrails

    The conventional-PE benchmark lane is useful even if you never take a dollar of outside capital: it shows what a disciplined AI program looks like when the owner runs it, with named leaders, measurement, and published results.

    Before you sign anything

    Five questions that separate an engine from a pitch deck, whichever path you take: audited or client-confirmed before-and-after numbers from two businesses they already own or serve; what the headline AI figure measures and who checked it; what happens to your team, brand, and client relationships in year one; what a rollover stake is actually worth, and when; and who keeps the software and the data if you part ways. The grades on this map are a head start on the first question. Read the bear case, tested against every firm here.

    Own or operate a business?

    Find one workflow where AI could create measurable value in your company.

    Free four-minute diagnostic. Complimentary 30-minute fit call.

    Methodology

    The evidence bar

    Every firm on this page is graded on publicly verifiable evidence of AI value creation. Named customer or portfolio results count. Demos, projected margins, and marketing claims do not. Corporate facts such as a closed acquisition or a funding round are cited but do not raise the grade on their own. Each key fact links to its own source inline; the summary and reservation text on a card draws on the same sources listed in that card's footer.

    A

    Grade A. A specific, named outcome verified by a credible third party: independent press, third-party research, an SEC filing by someone other than the firm being graded, or counterparty confirmation, meaning the client says it in its own name on its own pages. A firm's own filings carry legal liability and beat its marketing, but they are still the firm talking about itself, so they do not reach this bar alone.

    B

    Grade B. Client-named or company-reported results published by the firm or its investors, or covered by credible press without independent attribution of the AI contribution.

    C

    Grade C. A real thesis and team, but no publicly verifiable outcome yet.

    What counts as a firm here

    Three kinds of firm: those that buy companies and operate them, those that embed their own technical people inside businesses they do not own, and the capital behind both. Vertical AI applications are out, however good they are. The test is what the client buys and how many others buy the same thing. A templated product sold on subscription to hundreds of customers is a product, even when the people deploying it are called forward-deployed engineers. A transformation partner is paid per engagement, in fees, outcomes, or equity, and what it leaves behind is a rebuilt business rather than a repeatable line item. Training and enablement practices fail the same test from the other side: when what the client buys is instruction and what remains is a better-trained team rather than operations rebuilt by the firm's own people, the client has bought education, and education is not what this map grades.

    Palantir is the reason this category exists and is deliberately not on the map. It invented the forward-deployed engineer model that nearly every firm here copies, and several founders on this page are alumni. It is left off on the model test rather than the evidence test, and the distinction matters: it licenses a platform to 954 customers at roughly $4.5 billion a year rather than being paid per engagement to rebuild one business, which is the other side of the test above. On evidence it would in fact grade well, because some of its customers publish their own numbers under their own names, which is more than any firm in the new-category lanes has done.

    Firms carrying the "profile reviewed by the firm" mark have confirmed or corrected their entry directly. Corrections are welcome: entries are updated as primary sources change, and every update is logged in the changelog below.

    Contributors

    Readers who push back make this page better. illiquid sent a stream of firms to consider and challenged individual gradings. That pressure produced the correction to our note on Palantir and the tightened definition of grade A, the published test for what qualifies as a firm here, the second look that moved SaxeCap to B, and Percepta's own entry.

    Other maps and indexes

    Other people track this market too. None of these grades evidence, which is why this page exists, but each covers ground this one does not.

    • Ciridae AI Transformation Index Scores 5,900+ existing private-equity portfolio companies across 160+ funds on AI durability and opportunity, a forward-looking rating of exposure, not a record of outcomes. Built by Felix Stocker and Jai Kondapalli at Ciridae (March 2026).
    • ai-rollup.fyi A directory of 200+ AI rollup and AI-native services companies with sector, geography, and funding-stage filters; broad on early-stage and European coverage, with no sources or grading.

    The profiles

    Every firm, every claim, every source

    Filter by evidence grade or lane, search by name or sector, and sort. Each profile carries its key facts, the caveat we would want a fund partner to know, and links to the sources behind every number.

    Sort
    Evidence
    Lane

    Showing 45 of 45 firms

    Owner-operators · 7 firms

    Integrated owner-operators: the most substantiated

    Firms that acquire companies outright and transform them with in-house engineering, plus the capital provider that coined the category. This tier holds the category's strongest public evidence, and its biggest headline valuations.

    Beacon Software

    Owner-operator

    B

    Self-styled "anti-private equity": a permanent-hold holdco (founded 2024 by ex-Instacart president Nilam Ganenthiran and ex-Sequoia partner Divya Gupta) buying small profitable vertical-software businesses and rebuilding them on a shared AI platform.

    • 30+ companies acquired since 2024, now closing roughly one deal per weekGlobe and MailBetaKit
    • $550M+ raised, including a $225M Series C led by General Catalyst and HarbourVest at a $1.4B+ valuation (announced June 2026)Globe and MailBusinesswire
    • Reports 50%+ growth in portfolio operating earnings over the past yearGlobe and Mail

    Why this is a B

    The EBITDA figure is a single company-reported aggregate with no named per-company breakdown, and a one-acquisition-a-week pace carries real integration risk.

    Bending Spoons

    Rollup platform

    B

    Milan permanent-hold acquirer-operator of established digital businesses (AOL, Vimeo, Evernote, WeTransfer, Eventbrite, Meetup; 50+ acquisitions since 2013), public on Nasdaq since July 2026: it strips and rebuilds acquired companies on a central platform of embedded engineers whose output, by its own filing, is now mostly AI-authored code.

    • Its SEC-filed prospectus records the Vimeo acquisition at $1.38B in cash (November 2025) and AOL at $1.45B (January 2026), states an intention to hold acquired businesses indefinitely, and says the company has never sold a material businessBending Spoons prospectus (July 2026)TechCrunch
    • The same prospectus reports the share of code pull requests authored or co-authored by AI rising from under 10% in early 2025 to more than 90% a year later, around 70% written by AI alone, and revenue per employee rising from $1.12M in 2023 to $2.57M in 2025, with AI credited as one catalyst of the productivity gainsBending Spoons prospectus (July 2026)Fortune
    2 more sourced claims
    • 2025 revenue of $1.31B, up 95%, with operating profit more than doubling to $278M; the founder's letter says progress in AI should improve the scalability of what it calls the company's acquisition and transformation modelFortuneBending Spoons prospectus (July 2026)
    • The documented playbook at acquired companies is replacing teams and repricing: 129 Evernote layoffs within weeks of taking control in 2023, most of the United States team ultimately let go, and steep price increases, a pattern independent engineering analysis describes as the standard Bending Spoons takeoverTechCrunch (Evernote layoffs)Pragmatic Engineer

    Why this is a B

    The consolidation engine predates the AI story: the playbook on the record is team replacement, repricing, and centralized re-engineering, and no result at any acquired business has been credited to AI by anyone outside the company. The AI figures are the company's own, and the revenue-per-employee attribution is hedged in its own filing. A prospectus carries securities liability and beats marketing, but it is still the firm talking about itself, which is why its own filing earns a B rather than an A here. An acquired business's before-and-after published by someone other than Bending Spoons would move this to A.

    B

    The company-creation arm that coined the term "AI-enabled roll-up": GC assembles founding teams, funds them, and helps them acquire and transform service businesses, targeting a "Rule of 60." Its co-creations include Long Lake, Eudia, Titan, Crescendo, Dwelly, and the accounting platform Accrual. GC's Madhu Namburi calls the end state "service as software."

    • Roughly a dozen rollup vehicles co-created (CNBC); the strategy's sleeve reportedly grew to ~$1.5B in Fund XIICNBCPitchBook
    • Crossed into public markets: the $7.6B Janus Henderson take-private with Trian (December 2025), which GC plans to transform through its AI transformation company Percepta, and backing Long Lake's $6.3B Amex GBT dealCNBCPitchBook
    • Investor-reported portfolio outcomes in its own essay: 25-30% productivity gains and a 10x new-customer pipeline at Long Lake's HOA business, 80%+ interaction automation at Crescendo, and doubled EBITDA margins at Dwelly where deployedGC: The Future of Services

    Why this is a B

    Every portfolio outcome number it publishes (25-30% productivity, 10x pipeline, doubled margins) originates from GC or its portfolio companies, and GC sits on multiple sides of the trade: it co-creates the platforms, leads later rounds, and prices its own thesis.

    Also consultedGC: Europe's AI transformation in services

    Long Lake

    Owner-operator

    B

    Permanent-hold owner-operator led by ex-Oaktree Alex Taubman, acquiring services businesses in HOA management, construction, and now corporate travel, transformed on its proprietary Nexus platform. Executing the first large AI take-private.

    • $6.3B Amex GBT take-private approved by GBTG stockholders on August 3, 2026; close expected in 2H 2026 pending remaining regulatory approvalsStockholder voteAmex GBT Q2 8-K
    • $1.0B of 7.625% senior secured notes issued July 2026 to finance the deal; $600M+ equity raised in its first ~13 months (WSJ)Gibson DunnWSJ
    • 30+ businesses acquired in roughly three years (CNBC)CNBC
    • Investor-reported AI outcomes in HOA management: 25-30% productivity gains for team members (GC essay), 20-40% per CEO Alex Taubman (TBPN, May 2026), plus a 10x increase in new-customer pipeline from an AI-powered sales motionGC essayTBPN

    Why this is a B

    The headline operating metrics (25-30% productivity gains, 10x sales pipeline) come from lead investor General Catalyst's own essay, and a 7.625% coupon puts real leverage under a permanent-hold model premised on AI margin expansion.

    Also consultedBusinesswire

    Multiplier Holdings

    Owner-operator

    B

    Permanent holdco from ex-Stripe APAC lead Noah Pepper that acquires boutique tax and accounting firms, keeps their brands and leadership, and builds custom AI inside them, with a stated ambition to rival the Big Four.

    • Eight firms acquired (five in the past year), four more under signed term sheets; 30+ embedded technologistsBusinesswire
    • Citrine International Tax: cash flow up roughly 2.5x within eight months of acquisition (company-reported, WSJ-covered)DealroomWSJ Pro
    • $35M Series B led by The General Partnership at a $300M valuation; ex-Slack CFO Allen Shim joined as President and CFO (August 4, 2026)BusinesswireWSJ Pro

    Why this is a B

    The flagship Citrine result is company-reported and Citrine was a 12-person firm at acquisition, so the category's cleanest proof point is also its smallest.

    Also consultedTechCrunch

    Thrive Holdings

    Owner-operator

    B

    The OpenAI- and SoftBank-backed permanent-capital holdco that Thrive Capital created in April 2025 (a separate company, not a fund): it holds and scales service platforms in accounting (Current, the Crete Professionals Alliance founded by ZBS Partners' principals in 2023, with Thrive Capital first investing in May 2024), IT services (Shield, co-launched with ZBS Partners in June 2025), and a new built-environment regulatory platform, embedding AI into their workflows.

    • Raised $2B at a $12B valuation from SoftBank, D1, and Altimeter (August 12, 2026); 70+ businesses across platformsTechCrunch
    • Current's Tax AI processed ~7,000 returns for the 2025 tax year (the spring 2026 filing season), saving practitioners about a third of their time, with drafts up to 97% accurate (OpenAI case study; Forbes reported 31% average savings)OpenAI case studyForbes
    • Shield reports help-desk resolution sped up 36x and passed $100M annual revenue in 2025TechCrunchBusinesswire (Shield)
    • Current's firm count by date: over 20 accounting firms (Reuters, June 2025), almost 30 (Current rebrand release, June 2026), more than 50 (TechCrunch, August 2026); Shield at around 20 IT services companiesReutersCurrent (Businesswire)TechCrunch
    1 more sourced claim
    • Hold-forever stance: 'We hold them forever' and selling partners keep meaningful equity, per its June 2026 essay Long HumansThrive Holdings: Long Humans

    Thrive Holdings, explained: what it owns, how the OpenAI deal works, and what the numbers prove

    Why this is a B

    OpenAI is a shareholder, so its case study is not independent validation; press often flattens 'up to 97%' draft accuracy and '98%' data-entry accuracy into one number; and a $12B valuation on thin-margin services businesses is priced for a transformation that is still early.

    Also consultedKirkland & Ellis (formation)

    The New York permanent-capital shop from ex-Blackstone analysts Jake Sloane and Frank Zhang (ZBS Partners, founded 2016; operating as Springdale Industries since April 2025) that builds the rollup platforms bigger capital later backs: its principals founded Crete Professionals Alliance, now Current, in 2023, a year before Thrive Capital first invested, and co-launched Shield with Thrive Holdings in June 2025.

    • Current's own release credits the platform's origin plainly: founded by Jake Sloane and Frank Zhang of ZBS Partners; Reuters dates the founding to 2023, with Thrive Capital partnering in May 2024Crete (Accuity release)Reuters
    • Shield was launched jointly in June 2025 with more than $100M in initial funding and describes itself as formed through the collaboration between Thrive Holdings and ZBS Partners; a second $100M followed in February 2026Shield (launch)Businesswire (Shield)
    • Self-reported record across the ZBS era: 10+ platforms built since 2016, including Alliance Animal Health and Crete United, spanning 375+ partner companies and $7B+ in enterprise value; Springdale runs as an internally managed vehicle with no fund clock and no forced exitsSpringdale Industries

    Why this is a C

    Every scale number is self-reported, and the record accrued under ZBS Partners, a legally separate SEC-registered adviser under common control whose site now redirects to Springdale's; Springdale itself, operating since April 2025, discloses that the flagship platform investments legally sit with ZBS. Platform creation is a corporate fact under this map's rules, and the AI outcomes on those creations, Current's tax drafting and Shield's help-desk gains, are published by Thrive and the platforms rather than by this firm, which has published no outcome of its own. An AI-attributed result reported by Springdale about a platform it built would move this to B.

    Evidence maturing · 9 firms

    Real operators, evidence maturing

    Acquisitions are closed and operations are running, but the outcome numbers are still mostly company-reported. Watch this tier: it is where the next grade-A evidence will come from.

    Buena

    Owner-operator

    B

    Berlin AI property-management platform consolidating Germany's fragmented property managers: 25+ firms acquired and roughly 80,000 units under management.

    • $58M raised, Series A led by GV (July 2025); Forbes reported $25M ARRAxiosForbes
    • 500%+ revenue growth in 2024, company-reportedAxios

    Why this is a B

    Growth percentages compound off a small base after a near-death restructuring, and unit counts vary across sources and dates.

    Also consultedGV interview

    Crescendo

    Owner-operator

    B

    San Francisco "augmented AI" customer-experience company: a 20-person startup that acquired 3,000-person BPO PartnerHero and charges by outcome instead of headcount.

    • $50M raised at a $500M post-money valuation, led by General Catalyst (Bloomberg)Bloomberg
    • Investor-reported: a regional telecom deployment tripled resolved calls in its first week; 80%+ of interactions fully automatableGC essay

    Why this is a B

    Outcome metrics come from the lead investor's essay with the customer unnamed, and founding CEO Matt Price stepped back to an advisory role in July 2026.

    Also consultedCrescendoEnterprise Times

    Dwelly

    Owner-operator

    B

    London AI-native lettings group (founded by ex-Uber and Gett operators) buying independent UK letting agencies and running them on its own AI platform.

    • $170M Series B led by EQT Growth, co-led by General Catalyst (July 28, 2026); $260M total including debt facilitiesDwellyThe Next Web
    • 17 UK letting agencies acquired, the latest being Move Property Sales & Lettings with 1,100 managed homes (June 2026); 15,000 properties under management, which the company says makes it a top-10 UK agencyDwellyThe Real Deal
    • Company-reported: per-agent capacity up from ~100 to 300+ unitsDwelly (LinkedIn)

    Why this is a B

    All operating metrics are company- or investor-reported, and roughly $125M of the $260M total is debt.

    Eudia

    Owner-operator

    B

    Palo Alto legal-AI company for Fortune 500 in-house teams that acquires alternative legal service providers (Johnson Hana, Out-House) to combine AI with human legal delivery.

    • Up to $105M Series A led by General Catalyst ($75M conditional on approved acquisitions)Bloomberg
    • Named-customer results, company-published: Cargill 50% faster contract research; Coherent 78% faster contract review; Duracell 50% lower contracting costsPR Newswire

    Why this is a B

    Customer results are company press-release claims with named logos but no independent audit, and most of the headline raise is conditional acquisition capital.

    Also consultedJohnson Hana deal

    Fura

    Owner-operator

    B

    AI-first freight brokerage rolling up small US freight brokers ($10M-$30M revenue) and migrating them onto a shared automation platform. Arguably the scrappiest execution in the category: seven acquisitions on only $7M of disclosed equity.

    • Revenue reportedly grew from $10M to $90M+ (restated as $100M+ over two years in August 2026), roughly half organic, per FreightWaves interviewsFreightWavesFreightWaves (Aug 2026)
    • Acquired Pinwheel Logistics swung from a $150K loss to $1M profit while GMV grew $12M to $30MFreightWaves
    • Seventh acquisition, High Rise Logistics, announced August 11-12, 2026FreightWaves (Aug 2026)

    Why this is a B

    Every financial figure is CEO-reported in interviews with no audited financials, the revenue narrative shifted between two FreightWaves pieces seven weeks apart, and headcount cuts (Pinwheel went 26 people to 8) did meaningful work alongside the AI.

    Also consultedFura (company timeline)

    Metropolis

    Owner-operator

    B

    Computer-vision payments company that took SP Plus private for roughly $1.5B and became North America's largest parking network operator. The strongest physical-world proof that an AI company can buy and run a legacy operator at scale.

    • SP Plus take-private closed May 16, 2024, documented in SEC filings; network now 4,600+ locations with 28M membersSEC filingCNBC
    • Raised $1.6B in debt and equity at a ~$5B valuation (November 2025)CNBC
    • Company-reported: 280 locations and 41,000 spaces upgraded to computer vision in ~2.5 months post-closeMetropolis blog

    Why this is a B

    The acquisition itself is SEC-documented, but the AI outcomes (deployment pace, capacity gains) are company-blog-reported, which caps the grade at B. This is computer vision and payments rather than generative-AI value creation, and the model carries heavy acquisition debt.

    Also consultedReuters

    BHub

    Owner-operator

    C

    Sao Paulo back-office-as-a-service company executing an AI-powered rollup of Brazilian accounting firms, including Agrocontar, the country's largest agribusiness accounting office.

    • $55M+ raised (IFC-led Series A; Next Billion-led pre-Series B, November 2025)FinSMEs
    • 10 accounting-firm acquisitions since launching the M&A strategy in late 2024; ~$30M annualized revenue and positive EBITDA, investor-reportedBrazil JournalNext Billion

    Why this is a C

    Revenue and EBITDA figures are corporate results reported by the lead investor rather than AI-attributed outcomes, so the grade is C; acquisition counts also vary by framing.

    Circeus

    Owner-operator

    C

    London AI-native holding company (the group behind Shop Circle) that acquires mission-critical B2B software businesses and connects them to a centralized AI engineering platform.

    • 18 acquisitions over four years; 200,000+ business customers across the portfolioCirceus
    • $220M+ raised including EBRD equity participation (June 2026) and a $100M+ i80 Group credit facilityCirceusi80 credit facility

    Why this is a C

    Acquisition count, customer count, and profitability are corporate facts rather than AI outcomes, so the grade stays at C until a portfolio-level AI result is published. Nearly all metrics come from the company's own blog, with thin independent coverage since the June 2026 rebrand from Shop Circle.

    Titan

    Owner-operator

    C

    New York AI holdco for IT services: it built an "augmented AI" platform for managed service providers, then acquired MSP RFA (400+ clients) to deploy it.

    • $74M raised, led by General Catalyst (August 2025)PR Newswire
    • One acquisition to date: RFA, announced with the fundingPR Newswire

    Why this is a C

    The only outcome claims (onboarding cut from weeks to minutes, a potential 3x margin increase) come from the lead investor, and the margin figure is a projection.

    Also consultedGC essay

    Early platforms · 7 firms

    Early platforms: real theses, little public proof

    Freshly capitalized platforms executing the same playbook, mostly less than a year old. Included because the theses are serious; graded C because the public record is thin.

    Modus

    Rollup platform

    B

    New York holding company building "the first AI-native accounting firm": it acquires interests in audit-first CPA firms and deploys proprietary AI workflows inside them.

    • $85M combined seed and Series A led by Lightspeed, with Comma Capital and Garry Tan (April 2026)Businesswire
    • Investor-reported: seven AI workflows live inside its first partner firm (a top-200 CPA firm with $30M+ revenue), representing tens of thousands of hours saved per yearLightspeed

    Why this is a B

    The partner firm is unnamed, so the flagship outcome cannot be checked against a real entity, and the doubled-growth claim for 2026 is a projection.

    AIVC

    Owner-operator

    C

    New venture (site live July 2026) with the tagline "Program the Real Economy": it states that it owns and transforms businesses across four pillars, Transform, Accelerate, Own, and Build, with returns tied to whether the transformation holds over years.

    • Thesis published on its site; hiring across engineering and research, finance and operations, and strategy rolesAIVC

    Why this is a C

    As of August 2026 the public record establishes the thesis and open roles only: no named leadership, capital, portfolio, closed ownership, or results have been disclosed.

    Eagle

    Owner-operator

    C

    New York AI-native holdco founded in 2025 (indexed by other directories as Eagle Engineering) that says it buys civil, structural, and MEP engineering firms and rebuilds their work around its own design-automation, knowledge-retrieval, and quality-control software, with each acquired firm keeping its name, people, and clients.

    • Founded 2025 by CEO Mayank Mardia (ex-Bloomberg, ex-SEC), CTO Thomas Shouler, a licensed professional engineer (ex-Arup, ex-Palantir), and President Sohum Daftary (ex-Long Ridge Equity Partners), with former Autodesk CEO Carl Bass advisingEagle
    • Seed round led by Lightspeed Venture Partners announced June 24, 2026, size undisclosed; no other capital, debt facility, or parent is disclosedLightspeedSaaSRise
    • Job postings describe the buy-and-embed model directly, placing forward-deployed engineers inside the firms it acquires and supporting post-acquisition operationsEagle job posting

    Why this is a C

    No acquisition has been named anywhere as of September 2026, and no revenue, headcount, or client is disclosed. The one figure on its site, a traffic study cut from 207 hours to 31, names neither a client nor an acquired firm, so it cannot be checked. This is thinner than every other owner-operator here; a first named acquisition would be the thing to watch.

    Integral

    Rollup platform

    C

    Berlin AI-powered accounting, tax, and payroll company for German SMEs (founded 2024), building toward a European AI-driven services group partly through acquisition.

    • €12M total from General Catalyst, Cherry Ventures, and Puzzle Ventures, per Tech.eu (November 2025)Tech.eu
    • One acquisition to date: payroll specialist cleverlohn (November 2025)Tech.eu

    Why this is a C

    No client counts, revenue, or efficiency metrics have been disclosed, and €12M is a small capital base for the stated ambition.

    Also consultedCherry Ventures

    Sequence Holdings

    Rollup platform

    C

    New York permanent holding company that acquires and invests in American service businesses, embedding its own engineers to rebuild operations around AI. Team draws from Scale, Palantir, and Lone Pine.

    • Roughly $75M raised from Lux, Conviction, 8VC and others, per the company's own siteSequence Holdings
    • Only publicly named deal: a minority investment in BankSouth, a $1.6B-asset Georgia bank (March 2026), confirmed by the counterpartyBankSouth (counterparty)Newcomer

    Why this is a C

    The $75M figure appears only on the company's site and low-quality aggregators, and the one named deal is a minority position rather than the control ownership its thesis describes.

    Tenet

    Capital provider

    C

    Berlin inception-stage investment firm backing founders who consolidate fragmented European service businesses into AI-native platforms. A fund that finances rollups rather than an operator, which is why it sits in its own category here.

    • Debut fund targeting €80M, roughly a third raised as of February 2026, writing ~€5M chequesTech.eu
    • First deal: €5M into Taxforce, confirmed by the counterparty's counselVOY (deal counsel)

    Why this is a C

    Final fund size is uncertain and the single portfolio company's 70% bookkeeping-time claim is company-reported.

    Zero RFI

    Rollup platform

    C

    AI-native owner's-representative platform for construction from AEC veteran KP Reddy, launched March 2026 with three acquisitions and a strategy of consolidating complementary AEC services businesses.

    Why this is a C

    No performance metrics yet, and one launch acquisition being the founder's own firm is a related-party transaction.

    Transformation partners · 14 firms

    Transformation partners: the engine without the portfolio

    The outsourced AI operating partner: firms that embed technical teams in portfolio companies and businesses they do not own, compensated in fees, outcomes, or equity. Caritas operates in this lane; see the disclosure below.

    Caritas Venture Co.

    Transformation partner

    B

    Our firm. Outcome-priced Quick Win engagements and embedded partnerships for companies and PE/VC portfolios, tracked in the ARLOS operating system: the client keeps the software, the repo, and a trained internal operator.

    • IGS: AI-assisted attrition analysis confirmed a significant improvement in first-week retentionIGS case study
    • IGS: a custom contract-review assistant accelerated weekly review and lowered human-error riskIGS case study
    • Jet Parts Engineering: business document creation time cut roughly in half in an eight-week engagementJet Parts case study
    • Live outcomes ledger: every engagement resolves against success criteria agreed in advance and judged by a client-designated judge, spanning client organizations from industrial services and aerospace to law firms and consumer brands since late 2025; the success rate counts every resolved engagement, failures included, and the public ledger lists the successesOutcomes ledger

    Why this is a B

    Self-inclusion: these are our own client-named, vendor-published cases with stated methodology and no third-party audit. We grade ourselves B under the same standard applied to every firm here.

    Ciridae

    Transformation partner

    B

    San Francisco firm from ex-a16z partner Jack Soslow and Jack Weissenberger (founded 2025) that embeds engineers in mid-market "real economy" services businesses and replaces ERP-and-spreadsheet operations with AI-native systems.

    • $20M seed led by Accel, with a16z, General Catalyst, Sunflower, and Backcountry (May 2026)Businesswire
    • Knight Commercial case: $5M annual revenue uplift, $8M free-cash-flow unlock, and 100% of A/P invoices processed, client-named and vendor-publishedCiridae
    • Self-reported high-seven-figure run-rate revenue and cash-flow positive within six months of sellingPulse 2.0

    Why this is a B

    All outcome numbers are vendor-published rather than independently audited, and the engagement metrics were published within months of the engagement starting.

    Also consultedAccel

    Distyl AI

    Transformation partner

    B

    San Francisco firm founded in 2022 by Palantir alumni Arjun Prakash and Derek Ho, and one of the earliest of the lab-aligned deployment shops: it formed a services alliance with OpenAI in April 2023, three years before OpenAI launched its own Deployment Company. It embeds forward-deployed engineers inside Fortune 500 enterprises alongside its Distillery agent platform, with part of each project fee tied to the client's objectives plus platform licensing, and was valued at $1.8B in September 2025.

    • $175M Series B at a $1.8B valuation, led by Khosla Ventures and Lightspeed with Coatue, Dell Technologies Capital, and DST Global (September 2025), a ninefold step-up from the $200M Series A valuation ten months earlier; just over $200M raised since 2022, with revenue reported up 5x in 2024 and on track for 8x in 2025PR Newswire (Series B)Crunchbase NewsSiliconANGLE
    • T-Mobile is the one named client on the record: The Information reported a contract in September 2025 and T-Mobile confirmed that Distyl supports some of its customer-experience work, and in May 2026 its director of AI engineering, Julianne Roberson, told a conference audience that T-Mobile worked with OpenAI and Distyl to develop IntentCX, the intent-decisioning platform T-Mobile announced with OpenAI in 2024, sharing the stage with Distyl's co-founder; the results she reported, voice AI answering more than half of phone calls and 200,000-plus AI conversations a day, are credited to T-Mobile's program as a wholeThe Information (LinkedIn)TechTargetEntrepreneurT-Mobile (IntentCX)
    3 more sourced claims
    • Company-published outcomes, every client anonymized, most to a Fortune-list tier and sector: a Fortune 20 health insurer's provider-contract workbench at $16M in annual savings, with 600,000+ contracts made queryable; a Fortune 20 insurer's reimbursement-policy system at roughly $50M in annual savings with the policy update cycle cut from 12 months to under three; a publicly traded auto lender's loan-origination review at a 93% cost reduction, with agentic fraud detection live a week after kickoff; and, in the Series B release, a healthcare client that realized $23M in annual savingsDistyl case study (payor contracts)Distyl case study (payor policy)Distyl case study (auto lender)PR Newswire (Series B)
    • Self-reported scale: 50+ enterprise deployments across Fortune 500 companies with what it calls a 100% production record, more than a billion decisions processed a year, 120M+ end users reached, and hundreds of millions in operating impact in aggregateDistylPR Newswire (Series B)
    • Part of each project fee is tied to achieving the client's objectives rather than time and materials, layered on licensing for its Distillery platform, per its chief executive; it has held a services alliance with OpenAI since April 2023, works with Anthropic's models, runs on Microsoft Azure, and in April 2026 Google Cloud named it among nine AI-native services partners launching Gemini Enterprise practicesChannel DiveVentureBeatGoogle CloudDistyl (Google Cloud)

    Why this is a B

    One client is named on the record and none has attached a number to Distyl's work: T-Mobile confirms the relationship, and its AI engineering director credits IntentCX to T-Mobile, OpenAI, and Distyl together, but the results T-Mobile publishes belong to its whole program and its own IntentCX release names only OpenAI. Every quantified outcome is vendor-published and anonymized, so none of the dollar figures can be checked against a real company. The two largest numbers on its case-study page, $200M-plus in projected savings at a telecom operator and $200M-plus in estimated savings on prior authorization at a Fortune 20 insurer, are left out above as forward-looking, and the hardware manufacturer's 80% cut in root-cause time, which the Series B release reports as achieved, is labeled a target with future enhancements on the case study itself. Like Wonderful, it sells its own platform alongside the engineers, so part of what the client keeps is a license. T-Mobile, or any client, attaching a specific number to Distyl's work in its own name would move this to A.

    Also consultedDistyl case studies

    Melior

    Transformation partner

    B

    Philadelphia AI-transformation consultancy (Melior Technology, Inc., founded September 2020 by ex-Bain, ex-Metric Digital COO Ryan Markman) that builds custom generative-AI workflows inside client operations, either as a standing "AI Task Force" or as single-workflow builds.

    Why this is a B

    Both flagship cases are vendor-published from 2024 with no independent attribution, and Melior discloses no funding, revenue, or headcount. Not to be confused with Melior AI, an unrelated UK contract-intelligence startup.

    SaxeCap

    Transformation partner

    B

    San Francisco AI transformation and holding company from ex-Palantir engineer Amrit Saxena: it runs AI transformations inside private-equity portfolio companies, sits in the AI seat on diligence for large sponsors, co-invests in buyouts, and is quietly executing an HR-services buy-and-build of its own.

    • Reported outcome, client anonymized: a private-equity-backed education platform running 100+ preschool sites lifted labor productivity by more than 50% and expanded EBITDA margins by more than a third after SaxeCap built a machine-learning staffing model, implemented over four to six monthsPluris case study (preschool operator)Pluris interview
    • Named as the "AI" adviser alongside Citi, BCG, Kearney, EY, and Latham & Watkins on CVC's agreed $4.3B carve-out of IFF's food ingredients business, per a CVC managing director's public post; CVC's own release names only its bankers and lawyersCVC managing director (LinkedIn)CVC
    2 more sourced claims
    • Co-built VytlAIQ, a pharmacy-intelligence platform, with hospital-pharmacy firm VytlOne, whose CEO says the platform "will significantly improve capture rate": a forward-looking claim, with no delivered number published for a named health systemVytlOne CEO (LinkedIn)VytlOne
    • Runs an HR-services buy-and-build alongside the advisory business, with four platform deals recorded since September 2025, and self-reports partnerships with 60+ PE firms including "9 of the top 10 by AUM"PitchBookSaxeCap

    Why this is a B

    The grade rests on a single write-up published on Pluris, an expert-network marketplace that writes case studies from what its member firms tell it, publishes them free, and earns a 10% success fee from the featured firm on engagements it brokers; it states no verification method, and the client is anonymized, so the productivity and margin figures cannot be checked against a real company; SaxeCap's own site does not carry them. Everything else is unquantified, forward-looking, or a corporate fact: the CVC credit is an advisory role rather than an outcome, and the client-count claims vary across its own pages. Naming that client, or a delivered number from a named health system, would move this to A.

    The OpenAI Deployment Company

    Transformation partner

    B

    OpenAI's majority-owned deployment unit ("DeployCo", launched May 2026): forward-deployed engineers rebuilding enterprise workflows around OpenAI models, capitalized with more than $4B from a 19-investor consortium led by TPG at a reported $14B valuation.

    Why this is a B

    Reporting describes a guaranteed 17.5% annual return to PE backers, which pressures the venture to book revenue from consortium portfolios; entity leadership is undisclosed.

    Also consultedOpenAIAxiosThe Next Web

    Wonderful

    Transformation partner

    B

    The venture-scale version of the embedded-engineering model: an Israeli-Dutch "AI operating system for the enterprise" deployed by forward-deployed engineers who work inside customers' operations, valued at $5B twenty months after launch. It sells and integrates its own platform rather than owning businesses or pricing on outcomes.

    • $550M Series C at a $5B valuation led by Insight Partners with Salesforce joining (September 2, 2026), more than doubling the $2B mark set in March; over $800M raised since founding in early 2025, roughly 650 employees across 35+ marketsTechCrunchWonderful (Series C)Ctech
    • Client-reported at Bezeq (5M+ users): voice agents resolve roughly three of four cases on the first attempt, with 40% faster conversations and 15% higher customer satisfactionWonderful case study (Bezeq)
    • Client-reported at Bank Hapoalim (2M+ customers): a scheduling voice agent with a 75% resolution rate, 97% positive sentiment, and calls under 90 secondsWonderful case study (Bank Hapoalim)
    1 more sourced claim
    • Deployment model: forward-deployed engineers embed with customers, sometimes on premises, to integrate the model-agnostic platform into existing systems; the Series C funds more FDE teamsTechCrunchInsight Partners

    Why this is a B

    Every outcome is vendor-published with the customer named and no third-party attribution, and the numbers describe customer-service automation rather than business-level margin or growth. The client rents the operating layer and its engineers rather than owning software or a trained operator, and a $5B valuation after twenty months prices in enterprise adoption that is still early. Not a rollup; included as the benchmark for what the embedded-engineering model looks like at venture scale.

    Ampersand

    Transformation partner

    C

    New York "Applied Human-Computer Interaction Lab" (Ampersand Labs, Inc.) from Jai Kondapalli, co-author of the Ciridae AI Transformation Index: a pre-launch embedded-engineering firm whose public thesis is one line, that it embeds engineering talent in traditional industries to change how those businesses work.

    • Stated positioning: "We embed world-class engineering talent into traditional industries to transform how these businesses work"; registered as Ampersand Labs, Inc. in New YorkAmpersand
    • Founder background: Jai Kondapalli co-authored the Ciridae AI Transformation Index (March 2026), which scores 5,900+ PE portfolio companies on AI durability and opportunity, after private-equity analyst roles at KKR and Sumeru Equity PartnersCiridae AI Transformation IndexSumeru Equity Partners

    Why this is a C

    As of September 2026 the public site is a single tagline with no team page, funding, named clients, or published outcomes, and the founder confirms there is nothing to report yet. Thinner than every other grade-C firm here; listed because the founder asked to be held to the same bar. Not to be confused with withampersand.com, an unrelated integrations company.

    Artium

    Transformation partner

    C

    Agentic-AI consultancy founded in 2019, acquired by AlixPartners in August 2026 and now operating as Artium by AlixPartners: a signal that established consultancies are buying this capability rather than building it.

    • Acquired by AlixPartners, announced August 4, 2026; terms undisclosedAlixPartners
    • OpenAI Advanced Partner and Anthropic Claude Partner designationsArtium
    • First client-named build on the public record: a retrieval system for Arrive Health, a pharmacy benefits manager, drafting drug-equivalency recommendations from FDA documents, shipped in ten weeks at a reported 95%+ accuracy with human review; published on Pluris, which writes case studies from the member firm's own accountPluris case study (Arrive Health)

    Why this is a C

    The one public client-named case reports a build timeline and system accuracy rather than a business outcome, so six-plus years of operation have still produced no quantified client business outcome on the record. A client-named revenue, cost, or throughput number would move this to B.

    Brain Co.

    Transformation partner

    C

    San Francisco firm co-founded in 2024 by Elad Gil, Jared Kushner, Luis Videgaray, and former Opendoor CEO Eric Wu: it builds "AI-native operating systems" for government, health, and finance and embeds forward-deployed engineers to run them, with a dedicated practice building AI products for private-equity sponsors and their portfolio companies.

    • $30M Series A in September 2025 co-led by Gil Capital and Affinity Partners, with Andrej Karpathy, Patrick Collison, Reid Hoffman, and Brian Armstrong among the angels; more than 10 Global 2000 customers claimed at launchPR NewswireForbes
    • Founder-reported and counterparty unnamed: a government construction-permitting deployment cut approval time from three or four months to roughly three minutes, eventually exceeding 90% accuracy across more than 35 steps of the processNo Priors (podcast)Brain Co. (job posting)
    • Company-reported aggregate of AI applications "delivering value in the hundreds of millions" across healthcare, energy, retail, government, and hospitality, with no per-client breakdownBrain Co. (launch post)

    Why this is a C

    Every number is self-reported by the company or its founders in interviews, recruiting pages, and social posts, and no client is named against any of them, including the permitting deployment and the private-equity work. Not to be confused with BrainCo, the unrelated Boston brain-computer-interface company.

    Headstart

    Transformation partner

    C

    New York applied-AI studio founded in December 2022 by siblings Nicole and Chris Hedley: embeds engineers to build agentic workflows, document processing, and retrieval systems for enterprise clients in healthcare and financial services, and now also markets its in-house coding agent, Friday, as a standalone product.

    • Bootstrapped and self-reported profitable by design; the founders report the team growing from about 8 to 24 people and revenue roughly quadrupling in the year to August 2026Nicole Hedley (LinkedIn, Aug 2026)Nicole Hedley (LinkedIn, May 2026)
    • Client-named build for celebrity stylist Gab Waller's sourcing platform Sourced By: a two-model vision-and-matching pipeline delivered as a working product in five weeks, replacing manual image search; Vogue confirmed the relationship but not the figuresPluris case study (Sourced By)Vogue
    • Embedded with Lantern, an Insight Partners-backed specialty care platform, to rebuild claims processing with AI-first development: Lantern's chief executive named Headstart as the partner on that work in January 2026 and described it as in flightLantern CEO (LinkedIn, Jan 2026)Insight Partners (Lantern)
    2 more sourced claims
    • Lantern published an outcome for that claims work in August 2026: a 16-step manual pricing process that took about two weeks now runs in roughly a minute, told to the Wall Street Journal by its chief executive and repeated by its engineering leadership, which describes the rebuild as its own team's work. Neither the article nor Lantern's own posts name HeadstartWall Street JournalLantern engineering (LinkedIn, Aug 2026)
    • Anthropic's customer story reports 10-100x faster software development and 90-97% of client code written by Claude, figures supplied by Headstart about its own process; the page has carried those numbers unchanged since October 2024 and names no client, and Headstart's careers page now puts the figure higher still, at close to 100% of client code generated by its own agent, FridayAnthropic customer storyAnthropic customer story (archived, October 2024)Headstart careers

    Why this is a C

    Every figure Headstart publishes is about its own delivery speed or growth, and the figures have ratcheted up without new verification: 90-97% of client code written by Claude in the October 2024 Anthropic story, close to 100% written by its own agent today, both self-reported. Its six case studies are anonymized to industry and report delivery timelines rather than client results. The one client-named case, Sourced By, is vendor-authored and reports a five-week build, not a business outcome. Lantern is the closest this comes to proof, and it shows how hard the embedded model makes attribution: a named client executive confirmed the partnership, the claims work later produced a striking published number, and the credit for that number sits with the client's own team. Headstart publishing a Lantern-attributed figure, or Lantern naming Headstart alongside one, would move this to B. Not to be confused with the London recruiting-technology company of the same name, acquired in 2022.

    Also consultedHeadstart case studiesFridayBuilt In

    Ode

    Transformation partner

    C

    The $1.5B enterprise AI services venture announced in May 2026 and named Ode in July 2026 by Anthropic, Blackstone, and Hellman & Friedman (with Goldman Sachs, General Atlantic, Leonard Green, Apollo, GIC, and Sequoia), built on the acquired Fractional AI team.

    • $1.5B joint venture announced May 4, 2026 and named Ode on July 15, 2026: one of the largest first rounds for a services firm on recordTechCrunchAxios
    • Roughly 160 people by August 2026, with engineers placed at six of Blackstone's 270+ portfolio companies and a target of 25 (WSJ, via PYMNTS)PYMNTS
    • Led by Fractional AI founders Chris Taylor and Eddie Siegel with roughly 100 engineers at launchTechCrunchOde

    Why this is a C

    No client outcomes yet, and its PE investors are also its likeliest client base, so early outcome claims may not be arm's length.

    Percepta

    Transformation partner

    C

    General Catalyst's wholly owned AI-transformation arm, unveiled in October 2025 and led by former Palantir SVP Hirsh Jain: it embeds AI engineers, researchers, and product managers inside enterprises, most visibly at Janus Henderson and at Summa Health, the Ohio hospital system General Catalyst acquired.

    • At Janus Henderson, the asset manager Trian and General Catalyst agreed to take private, Percepta built PRISM, a client-intelligence platform, and LIBROS, a research-management tool, both on Anthropic's Claude, announced jointly on June 11, 2026Janus Henderson
    • At Summa Health, acquired by General Catalyst's health transformation company, it is unifying the stacks of eight or more portfolio companies into a health-system command center, work General Catalyst's Hemant Taneja called part of the "secret sauce"Forbes
    • Wholly owned by General Catalyst, per GC's own announcement and the SEC filing on the Janus Henderson bid; the founding team comes from Palantir, Meta FAIR, Google, and CitadelGeneral CatalystSEC filing

    Why this is a C

    Unlike Long Lake, Eudia, Titan, Crescendo, and Dwelly, Percepta is not independently capitalized: General Catalyst owns it outright, and both publicly known engagements sit inside companies General Catalyst is buying or already owns. Neither has a published outcome number; the announcements describe what was built, not what changed. Not to be confused with Percepta, the Ford and TTEC automotive customer-experience joint venture.

    Tenex

    Transformation partner

    C

    Bootstrapped New York firm from Arman Hezarkhani and Morning Brew co-founder Alex Lieberman: AI diagnostics first, then agentic systems built for clients from startups to the Fortune 500, priced on output rather than hours.

    • 100% bootstrapped and profitable since day one, per the foundersAlex Lieberman
    • Output-based compensation, with top engineers reportedly earning around $1M per yearLatent Space
    • A Pluris-published case for an unnamed digital out-of-home ad platform reports image moderation at 96% accuracy deployed in about two weeks, with the revenue effect described only as significant; Pluris writes its case studies from the member firm's own accountPluris case study (ad platform)

    Why this is a C

    The one public case, on Pluris, leaves the client unnamed and the revenue effect unquantified; its hard figures are moderation accuracy and deployment speed, which are process metrics rather than client outcomes. Not to be confused with Tenex.AI, an unrelated cybersecurity firm that raised $250M in March 2026.

    Also consultedSiliconANGLE (Tenex.AI, unrelated)

    Conventional PE · 8 firms

    The benchmark: conventional PE's AI programs

    The incumbent playbook the new category has to beat. Ironically, conventional PE still publishes some of the strongest third-party-documented AI outcomes.

    Apollo

    Conventional-PE benchmark

    A

    Its portfolio AI program is the subject of an MIT Sloan Management Review case study, which makes Apollo's numbers among the best third-party-documented in all of PE.

    • Cengage: costs down 40% in select content production; its GenAI tutor scaled to 1M students (MIT SMR)MIT Sloan Mgmt Review
    • Cross-portfolio AI contract analysis of 15,000 software agreements helped one company cut procurement costs by more than 65% (MIT SMR)MIT Sloan Mgmt Review

    Also consultedApollo (APPS)

    Vista Equity Partners

    Conventional-PE benchmark

    A

    The named exemplar of portfolio-wide GenAI discipline in Bain's Global PE Report: quantified GenAI goals are mandatory in every portfolio company's annual operating plan.

    • 50+ portfolio companies have agentic AI products in market; Nexthink's AI ARR grew from $20M to $109M in a year (company outlook, July 2026)Vista outlook
    • Bain-published examples: Avalara's sales reps responding 65% faster with GenAI; LogicMonitor's Edwin AI saving customers roughly $2M per year on averageBain report excerpt

    Also consultedCNBC

    Blackstone

    Conventional-PE benchmark

    B

    Built a 50+ person data science team since 2015 that embeds with deal teams and portfolio companies.

    • An estimated $200M of bottom-line impact delivered across the portfolio, firm-reportedBlackstone
    • Renaissance Learning: an AI lead-generation pilot doubled average order valueBlackstone insights

    EQT

    Conventional-PE benchmark

    B

    Motherbrain (founded 2016) is the longest-running dedicated AI team in PE, spanning sourcing through portfolio value creation.

    • AI-sourced deal flow: Motherbrain drove more than $100M of venture investments by 2020 and has scanned roughly 50 million companiesAxiosEQT

    Hg

    Conventional-PE benchmark

    B

    Runs Hg Catalyst, an in-house incubator of 100+ AI engineers embedding tiger teams inside portfolio companies. The closest conventional-PE analog to the owner-operators' internal engines.

    • 1,600+ AI projects live across the portfolio (1,400+ GenAI projects at 60+ portfolio companies) with ~$260M budgeted EBITDA impact, firm-reportedHg
    • Two AI-enabled exits (GTreasury, Intelerad) at roughly 100% average uplift to book value, firm-reportedHg

    Also consultedHg Catalyst

    Permira

    Conventional-PE benchmark

    B

    Reports more than $500M of AI-native ARR across the portfolio, with 100% of portfolio companies running live GenAI use cases.

    • Octus: cost of running the same AI models fell roughly 95% in a year, enabling 20x more experiments on the same budgetPermira (Octus)

    Also consultedPermira

    CVC

    Conventional-PE benchmark

    C

    Scores every portfolio company annually through an external AI-progress assessment and is training all 1,200 employees in AI.

    • April 2026 Google Cloud partnership embeds Google forward-deployed engineers with CVC and its portfolio companiesCVC x Google Cloud

    Why this is a C

    Strong program design, but the public record shows enablement (training, scoring, partnerships) rather than a quantified AI outcome, so the grade is C.

    Also consultedCVC

    Serent Capital

    Conventional-PE benchmark

    C

    Mid-market software specialist that appointed its first dedicated portfolio AI Transformation Officer in 2026 to move portfolio AI from experimentation into operating capability.

    • 30+ AI products launched or in development across 29 portfolio companies as of year-end 2025Serent

    Why this is a C

    Product counts and program structure are activity measures, not outcomes; the grade rises when Serent publishes a named portfolio result.

    Also consultedSerent AI Opportunity

    The honest ranking

    Where the new category's evidence is strongest

    Ranked on the quality of public AI-outcome evidence among the new-category firms only. The conventional-PE benchmarks are excluded on purpose: Vista and Apollo hold the only grade-A outcomes on this page, and they are the comparison set the new firms have to beat. Deals and funding rounds are context here, not evidence.

    1

    Thrive Holdings (Current)

    The most detailed production-AI evidence in the category: ~7,000 tax returns processed, about a third of preparation time saved, drafts up to 97% accurate, corroborated by Forbes reporting on individual preparers.

    Reservation: The case study is co-authored with OpenAI, which is a shareholder; the metrics are real but not arm's length.

    Sources: OpenAI case study, Forbes

    2

    Multiplier Holdings

    The clearest acquisition-to-outcome chain: Citrine's cash flow up ~2.5x within eight months of acquisition, with a named practitioner going from 14 returns in a 14-hour day to 24 in a 10-hour day.

    Reservation: One flagship result at a 12-person firm; company-reported and awaiting replication.

    Sources: Dealroom, WSJ Pro, Multiplier (practitioner testimonial)

    3

    Fura

    The most specific operating numbers: an acquired broker moved from a $150K loss to $1M profit while GMV grew $12M to $30M, and roughly 40% of booked carriers are now sourced by agents.

    Reservation: Entirely CEO-reported through trade-press interviews, and headcount cuts did meaningful work alongside the AI.

    Sources: FreightWaves, FreightWaves (Aug 2026)

    4

    Ciridae

    The best client-named transformation case in the partner lane: Knight Commercial's published $5M revenue uplift, $8M free-cash-flow unlock, and 100% of A/P processed.

    Reservation: Vendor-published within months of the engagement, and Ciridae does not own the business it transformed.

    Sources: Ciridae

    5

    Metropolis

    The largest live deployment: 280 locations and 41,000 spaces converted to computer vision in about ten weeks, on a network that now spans 4,600+ sites.

    Reservation: Deployment metrics are self-published, and this is computer vision and payments rather than generative-AI value creation.

    Sources: Metropolis blog, CNBC

    6

    Beacon Software

    The broadest aggregate: a reported 50%+ growth in operating earnings across 30+ acquired companies running on one shared AI platform.

    Reservation: One unaudited aggregate with no per-company breakdown.

    Sources: Globe and Mail

    7

    Buena

    Europe's proof point: 500%+ revenue growth in 2024 and ~80,000 units under management on a thesis that one person can manage 2,000 apartments.

    Reservation: Growth compounds off a small post-restructuring base and the causal role of AI is under-evidenced.

    Sources: Axios, GV interview

    8

    Long Lake

    The most institutionally validated platform, but its AI numbers (25-30% productivity gains, a 10x sales pipeline in HOA management) exist only in its lead investor's essay.

    Reservation: The Amex GBT take-private is stockholder-approved and not yet closed; the 7.625% coupon makes the AI margin thesis a hard requirement rather than an upside case.

    Sources: GC essay, Stockholder vote, Gibson Dunn

    The gap

    The operating layer most rollups are missing

    The best owner-operators built internal transformation engines: central engineering teams, deployment playbooks, and portfolio-wide measurement. Most funds and holdcos that own companies have neither, whether as an in-house AI operating partner or an outside transformation partner, and the public record above shows how rare verified outcomes still are. Capital is abundant in this category. Verified operating capability is the scarce input.

    Disclosure

    Caritas Venture Co. is included in the transformation-partner lane above. Unlike the owner-operators, we do not generally acquire companies. We underwrite, execute, and verify AI value-creation outcomes for owners, holdcos, and funds, sometimes with equity alignment, and we grade ourselves on the same evidence standard as every other firm on this page.

    37

    verified successful outcomes

    90%

    success rate across every resolved engagement, failures counted

    7

    live right now

    Those numbers are pulled live from our operating system. The ledger spans 15 client organizations, from industrial services and aerospace to law firms and consumer brands, since late 2025. Success is judged against criteria agreed in advance by a judge the client designates. The rate counts every resolved engagement, failures included; the public ledger lists the successful ones. Browse the outcomes ledger

    For business owners

    Underwrite one outcome first

    Before you sell, join a platform, or commit to a company-wide transformation, underwrite the thesis on your own books: identify, build, and verify one financially meaningful outcome inside your business. You keep the software. If the evidence holds, scale the playbook, with us or without us.

    Common questions

    About this map

    What is an AI rollup?

    An AI rollup (also written AI roll-up, or AI-enabled roll-up in General Catalyst's coinage) is a roll-up strategy with an AI operating layer. A classic roll-up, also called buy-and-build, buys a platform company in a fragmented services industry, bolts on smaller add-ons at lower EBITDA multiples, and exits the combined business at a higher multiple. An AI rollup adds a reusable AI and engineering layer that gets deployed into every acquired business to expand margins and capacity, and it usually holds the companies rather than flipping them. General Catalyst coined the term in its 2025 essay The Future of Services; Long Lake, Beacon Software, and Multiplier Holdings are executing versions of it.

    Is an AI rollup just private equity with an AI wrapper?

    Sometimes, and the evidence bar on this page exists to tell the difference. General Catalyst's position is that the model is not PE: it adds engineering cost, commits $100M or more per platform, and holds for the long term instead of a three-to-five-year fund clock. Skeptics such as Fortune's 'AI rollup mirage' op-ed and Equal Ventures reply that savings from AI tools every competitor can rent are ephemeral, and that the result is 'at best, tech-enabled private equity.' What settles it is third-party-verified margin and growth data from acquired businesses. As of this update, only conventional PE benchmarks (Vista, Apollo) carry grade-A outcomes; every new-category firm is still at B or C.

    Is an AI rollup the same thing as services as software?

    Related, not identical. 'Services as software' (Sequoia's 'sell the work, not the tool'; HFS Research's trademarked Services-as-Software) describes AI delivering a service outcome directly, often from a firm built AI-first. General Catalyst's Madhu Namburi calls the AI rollup 'service as software' because the end state is the same: a services business priced and run like software. The difference is the starting point. Every firm on this map acquires businesses that existed before the AI. AI-native services startups that build from scratch are out of scope here.

    What is the difference between an AI holdco and an AI rollup?

    Mostly capital structure. A permanent-capital holdco (Thrive Holdings, Long Lake, Multiplier Holdings, Sequence Holdings, Circeus) has no fund life and no forced exit, so it can hold what it buys indefinitely. A venture-backed platform (Crescendo, Eudia, Dwelly) sits on a fund clock and is expected to return capital on a schedule. Both run the same acquire-and-transform playbook. 'AI holdco' also gets used for AI-product studios and, separately, for advertising holding companies; neither is what this map covers.

    What is AI-native private equity?

    The phrase has two meanings. In the fund sense, an AI-native PE firm runs its own sourcing, diligence, and monitoring on AI; EQT's Motherbrain is the best-known example. In the owner sense, which is what this map grades, it is a fund or holding company whose value-creation model depends on an in-house AI transformation capability applied to every company it owns, rather than on capital and governance alone. Conventional PE firms running AI programs across an existing portfolio sit in the benchmark lane.

    Do AI rollups actually work?

    The public record cannot prove it yet, which is why this map grades evidence instead of ranking firms. The bull case has dated, sourced facts: Long Lake's 30+ acquisitions and its $6.3B Amex GBT take-private, Beacon's $225M Series C, Current's roughly 7,000 AI-drafted tax returns. The bear case has base rates: most classic roll-ups fail to create value, services businesses trade at a fraction of software multiples, and savings from tools every competitor can rent are hard to defend. Every operating number from the new-category firms is still company- or investor-reported. A firm moves to grade A when a customer, auditor, or counterparty confirms the outcome.

    An AI rollup wants to buy my business. What should I ask?

    Ask for audited or client-confirmed before-and-after numbers from at least two businesses they already own: EBITDA margin at close versus today, and the average time to margin improvement. Ask what their headline AI number measures and who verified it. Ask what happens to your team, brand, and client relationships in year one. If equity rollover is part of the offer, ask what the second bite is worth and on what timeline. And ask who keeps the software and the data if you part ways. The grades on this map tell you how much of each firm's pitch survives contact with the public record.

    Which private equity firms have verified AI results?

    On this map, Vista Equity Partners and Apollo carry grade-A outcomes: their portfolio AI results are documented by third parties, not only by the firms. Hg, Blackstone, EQT, and Permira publish substantial programs whose headline numbers are firm-reported (grade B). KKR, Carlyle, Thoma Bravo, TPG, and Ardian publish AI programs but, as of this update, no third-party-verified portfolio outcome we could find, so they are not profiled.

    Is a transformation partner the same as an AI operating partner?

    Functionally, yes, without the payroll. An AI operating partner is a fund-level seat, distinct from a portfolio company's Chief AI Officer and from the technology operating partner, that owns AI value creation across a portfolio; Korn Ferry and Heidrick & Struggles both describe the role, and it can be filled in-house, fractionally, or by an outside firm. The transformation partners on this map, Caritas included, act as that outsourced AI operating arm: they embed engineers in businesses they do not own and are paid in fees, outcomes, or equity.

    Which verticals have the most substantiated AI rollup results?

    Accounting and IT services (Thrive Holdings' Current and Shield, Multiplier Holdings), property and HOA management (Long Lake, Dwelly, Buena), corporate travel (Long Lake's Amex GBT deal), and parking (Metropolis) have the most reported operating results, all company- or investor-reported so far. Legal (Eudia), managed IT (Titan), insurance, healthcare, and dental have serious theses and funding but little public proof of AI outcomes yet.

    How were firms selected and graded?

    We reviewed 80+ owner-operators, rollup platforms, transformation partners, and PE benchmark programs, then verified every claim against primary sources: press coverage, case studies, funding announcements, SEC filings, and counterparty confirmations. Grade A means a named AI outcome verified by a credible third party. Grade B means a client-named or company-reported result without independent attribution. Grade C means a real thesis with no publicly verifiable outcome yet. Corporate facts such as a closed acquisition or a funding round are cited but do not raise the grade on their own. Demos, projected margins, and branded 'AI OS' claims did not count. The wider universe is larger: the AI Roll-up Nexus directory lists 209 companies; this map profiles the firms that had enough public record to grade.

    Why is Caritas Venture Co. on its own map?

    Because we operate in the transformation-partner lane and it would be misleading to publish a category map that omits us or quietly ranks us first. Our entry is graded B under the same standard as everyone else: client-named, vendor-published cases with stated methodology and no third-party audit. The disclosure section explains exactly how to read that.

    Are these firms ranked by performance?

    No. Grades measure the quality of public evidence, which is different from actual performance. A grade-C firm may be performing brilliantly in private; a grade-B firm's numbers may not survive an audit. The grade tells you how much weight the public record can bear today.

    How often is this map updated?

    Continuously as primary sources change, with every edit logged in the changelog. Corrections are welcome: email a primary source and we will fix the record. Firms marked 'profile reviewed' have confirmed or corrected their own entry.

    Cite or reuse

    Take the data with you

    The graded dataset behind this page is free to reuse under CC BY 4.0: every firm, grade, key fact, reservation, and source link, regenerated on every publish.

    Plain

    Ulstrup, C. (2026). AI Rollups and AI-Native Private Equity: The 2026 Market Map. Caritas Venture Co. https://caritas.ventures/ai-rollup-market-map/ (updated 2026-09-08)

    APA

    Ulstrup, C. (2026, September 8). AI rollups and AI-native private equity: The 2026 market map. Caritas Venture Co. https://caritas.ventures/ai-rollup-market-map/

    BibTeX

    @misc{ulstrup2026airollupmap,
      author = {Ulstrup, Christian},
      title = {AI Rollups and AI-Native Private Equity: The 2026 Market Map},
      year = {2026},
      howpublished = {\url{https://caritas.ventures/ai-rollup-market-map/}},
      note = {Caritas Venture Co. Updated 2026-09-08}
    }

    Changelog · 17 updates · last Sep 8, 2026
    • Aug 19, 2026: Initial publication: 80+ organizations reviewed, 30+ profiled, every claim graded against primary sources.
    • Aug 26, 2026: Added the interactive grade-by-model map, filters, and firm icons; every key fact now links to its own source. Regraded Metropolis from A to B (AI outcomes are company-reported) and Circeus, BHub, CVC, and Serent from B to C (public record shows corporate activity, not AI outcomes).
    • Aug 28, 2026: Accuracy and search-language pass, informed by keyword and SERP research (research/pe-market-map/seo-2026-08-28). The category section now opens with a plain definition of an AI rollup, and seven FAQs were added in the words people actually search: PE wrapper, services as software, holdco vs rollup, whether they work, verified PE results, AI operating partner, verticals. Corrections: Hg to 1,600+ AI projects; Ode announced May 2026 and named in July; Dwelly to 17 agencies; Thrive's Current firm count dated by source; Long Lake's productivity range reconciled across GC and its CEO.
    • Sep 1, 2026: Reoriented the page to the operator reading it: an owner note in the hero, a 'Reading this map as a business owner' section (four paths, mapped to the lanes, plus the five questions to ask any buyer or partner), an owner-facing FAQ, and a closing CTA addressed to owners. The disclosure now shows the live Caritas outcomes ledger: successful and active initiative counts and the success rate, judged against criteria agreed in advance by client-designated judges, with a success rate that counts every resolved engagement, failures included.
    • Sep 2, 2026: Added Wonderful to the transformation-partner lane at grade B: the $5B, forward-deployed-engineer version of the embedded model, with client-named but vendor-published outcomes (Bezeq, Bank Hapoalim) and a reservation that it rents the operating layer rather than transferring ownership.
    • Sep 2, 2026: Two companion pages: 'Do AI rollups work?' tests the bear case against every firm on the map, and a Thrive Holdings explainer separates Thrive Capital from Thrive Holdings, dates the milestones, and grades each published number claim by claim. Cards can now link to a deeper explainer (Thrive's does).
    • Sep 2, 2026: Correction to our own disclosure: the public outcomes ledger lists successful engagements, and the success rate is computed over every resolved engagement, failures included. Earlier copy said failed engagements were published alongside the successes; they are counted, not listed. The headline count is now labeled as verified successful outcomes.
    • Sep 3, 2026: Three transformation partners added. Melior (Philadelphia) at grade B on two client-named, vendor-published cases (Wpromote, Agexa). Headstart (New York) at grade C: real client relationships (Sourced By, Lantern) but every published number is about its own delivery speed or growth, not a client outcome. Ampersand (New York) at grade C at its founder's request, pre-launch and thinner than the other grade-C entries. The methodology section now links other maps and indexes of this market (the Ciridae AI Transformation Index and ai-rollup.fyi) so readers can triangulate; neither grades evidence, so neither changes a grade here.
    • Sep 3, 2026: SaxeCap moves from C to B. A second pass found a published outcome the first pass missed: a private-equity-backed education platform running 100+ preschool sites lifted labor productivity more than 50% and expanded EBITDA margins by more than a third after SaxeCap built a machine-learning staffing model. The client is anonymized, which is why it is B and not A. Two other items were checked and did not move the grade: an adviser credit on CVC's agreed carve-out of IFF's food ingredients business, which is a corporate fact, and the VytlOne partnership, whose capture-rate claim is still forward-looking. Three firms added, all at grade C: Percepta, General Catalyst's wholly owned transformation arm, promoted from a mention on the General Catalyst card to its own entry; Brain Co., the Elad Gil and Jared Kushner venture embedding engineers in governments and enterprises; and Eagle, a New York holdco buying engineering firms, seed-funded by Lightspeed with no acquisition named yet. The methodology now states what qualifies for inclusion and why Palantir, which invented this delivery model, is deliberately not on the map.
    • Sep 3, 2026: Correction, prompted by a reader. Our note on why Palantir is absent implied its evidence was no better than anyone else's here. That was wrong, and it was wrong because we only looked at what Palantir publishes and never checked what its customers publish. Tampa General Hospital reports its own results on its own newsroom under its chief executive's name, and AIG put a figure from Palantir-built work into its SEC-filed annual report. Palantir is still off the map, on the model test rather than the evidence test, and the note now says so. The grade-A definition is also tightened: an SEC filing counts when it is filed by someone other than the firm being graded, because a firm's own filing beats its marketing but is still the firm talking about itself. The bear-case page now sets out the whole evidence ladder, from a seller's own number to a client willing to say it where lying is a securities offence, and notes that no firm in the new-category lanes has reached the middle rung.
    • Sep 4, 2026: Headstart re-examined against what its client publishes, the second pass the Palantir correction added to our method. Three errors of our own are fixed: John Zutter is Lantern's chief executive, not its COO; Lantern is backed by Insight Partners, not Bain Capital, which hosted the conference where he described the engagement; and Lantern is a specialty care platform for self-funded employers, its own description, rather than a healthcare payor. The Anthropic customer story carrying Headstart's headline numbers is now dated on the card, because it has stood unchanged since October 2024 and names no client, and the card notes that the self-reported share of code written by AI has since risen to close to 100% with no new verification. The Lantern claims work does now have a published outcome, a 16-step pricing process cut from about two weeks to about a minute, reported in the Wall Street Journal in August 2026 from Lantern's chief executive. Neither the article nor Lantern's own engineers credit Headstart, so the grade stays at C. That gap is the clearest case on this map of the attribution problem the embedded model creates: the better a partner embeds, the more the result reads as the client's own.
    • Sep 4, 2026: Two presentation changes and a credit. The profile cards now separate what a firm reports from what we make of it: the firm's claims stay in sans, and the grade, its heading, and the reservation that explains it sit together below a rule in serif. Sources are no longer printed twice, since most of them already appeared beside the fact they support. The lane grid no longer stretches a card to match its tallest neighbour, which had been leaving empty space inside card borders. Nothing was cut: every claim, reservation, and source still ships in the page. The methodology now credits illiquid, whose pushback produced the Palantir correction, the grade-A definition as it now stands, the published inclusion test, the second look at SaxeCap, and Percepta's own entry.
    • Sep 5, 2026: The inclusion test now states the training boundary explicitly. Two prominent AI advisory and training practices were checked against the bar this week and neither is added: in both cases what the client buys is executive advising, team training, and enablement, the leave-behind is a better-trained team rather than operations rebuilt by embedded engineers, and the counterparty check found no client speaking about either firm's work in its own name. The methodology already drew the line against templated products; it now draws it against education too, which sits on the other side of the same test. Firms that cross from teaching into embedded delivery will be re-examined as their public record changes.
    • Sep 6, 2026: Pluris re-examined, prompted by outreach from its founder. Two case studies this map cites, for SaxeCap and Headstart, are hosted there, so our description of the site was checked against every page and all 188 case studies in its library. The characterization stands and is now sharper: Pluris writes case studies from what its member firms tell it, publishes them free, and earns a 10% success fee from the featured firm on engagements it brokers, and no page states a verification method for what the case studies claim. Roughly seven in ten cases leave the client unnamed and the project cost undisclosed. Three more firms on this map turn out to have cases there. Ciridae's adds nothing above its client-named Knight Commercial case, which already carries its B. Tenex and Artium each gain a fact and an updated reservation, since both cards previously said no public quantified outcome existed at all; Artium's Arrive Health case is its first client-named build on the public record. No grade moves, because build timelines and system accuracy are process metrics rather than client outcomes. A broken link to the SaxeCap interview, which Pluris moved, is fixed.
    • Sep 6, 2026: Bending Spoons added to the owner-operator lane at B, prompted by a contributor's consistency challenge: if Beacon Software counts, so does the far larger firm running the same permanent-hold, central-platform model. It is the first public company in the new-category lanes, and its evidence is unusual in form: its own SEC-filed prospectus reports code pull requests going from under 10% to more than 90% AI-authored or co-authored in a year and revenue per employee more than doubling since 2023, with AI credited as one catalyst. That earns B and not A under the rule tightened this month, because a firm's own filing carries securities liability and beats its marketing but is still the firm talking about itself. The reservation records the other reading of the same record: the playbook that independent engineering analysis documents is team replacement and repricing, and nobody outside the company has credited any acquired business's result to AI.
    • Sep 6, 2026: Correction and an addition, prompted by a reader. The Thrive Holdings summary implied the holdco originated its two flagship platforms. It did not: Crete Professionals Alliance, now Current, was founded in 2023 by Jake Sloane and Frank Zhang of ZBS Partners, a year before Thrive Capital first invested, and Shield describes itself as formed through the collaboration between Thrive Holdings and ZBS Partners. Current's own release states the founding credit plainly. The summary and the Thrive explainer now carry the lineage. ZBS, operating as Springdale Industries since April 2025, joins the capital-provider lane at C: the platform creations are corporate facts, the record is self-reported and legally accrued to a separate adviser under common control, and the AI outcomes on its creations are published by Thrive and the platforms rather than by the firm itself.
    • Sep 8, 2026: Distyl AI added to the transformation-partner lane at B, prompted by a contributor who called it one of the originals of this model. The fit is not in doubt: Palantir alumni embedding forward-deployed engineers inside Fortune 500 enterprises they do not own, part of each fee tied to client objectives plus platform licensing, with a services alliance with OpenAI dating to April 2023, three years before OpenAI launched its own Deployment Company. The grade rests on company-published, quantified outcomes: $16M and roughly $50M in annual savings on two systems at Fortune 20 health insurers, a 93% cost reduction in loan origination at a publicly traded auto lender, and $23M in annual savings at a healthcare client its Series B release does not describe further, every one anonymized. One client is named on the record: T-Mobile confirmed the relationship to The Information, and its director of AI engineering credits IntentCX to T-Mobile, OpenAI, and Distyl together, but neither T-Mobile nor anyone else attaches a number to Distyl's work, which is the line between B and A here. Two figures are left out on purpose: the two largest on its case-study page are labeled projected or estimated, and an 80% cut in root-cause time that the funding release reports as achieved is labeled a target on the case study itself.

    Something wrong or missing? Email christian@caritas.ventures with a primary source and we will correct the record.