The reading room.

    Research on what’s actually shipping inside enterprise AI.

    Airframe ResearchInteractive · Live board
    The Software Leaderboard

    Every software leader, ranked by value.

    An interactive board of every US and European software and AI company that has reached $500M in value — about $28T combined. Rank and filter by value, revenue, headcount, ownership, and era, or explore them all on the map.

    What we’ve published.

    Airframe ResearchSeries · Part 1
    The Vendor Landscape Series · 1969–2026

    The $17.8M Ceiling.

    The productivity ceiling moved from $4.6M to $17.8M per employee in seven years. Anthropic sits at $160M per employee. IBM at $0.7M. The public column is already repricing in plain sight, and the AI-native cohort has reset what one operator can carry.

    2,406 vendors · $26T combined · 12 min readRead part one
    Airframe ResearchSeries · Part 7
    The 9th wave · services-labor wallet

    The $10 Trillion TAM.

    Software has moved through eight technological waves over 75 years against a $650B tool-buyer wallet. The ninth, AI, is being priced against a $10 trillion services-and-labor wallet, an order of magnitude larger.

    9 waves · ~$5T visible · 9 min readRead part seven
    Airframe ResearchSeries · Part 2
    Four ownership cohorts · the existing $26T

    Four Ownership Types.

    The existing $26 trillion of enterprise software splits across four ownership cohorts. The public cohort works as designed; the PE-held, VC-private, and Acquired cohorts are each broken in a different way.

    4 cohorts · $26T register · 11 min readRead part two
    Airframe ResearchLatest · Quarterly
    The replacement ledger · Q2 2026

    The Replacement Tracker.

    Which incumbents are losing net-new accounts to AI-native challengers, and where it's happening fastest. Jenkins, GitHub Copilot, and Looker each shed seats in Q2 2026, with GitHub Actions, Cursor, and Hex taking them.

    By Airframe Research· 9 min readRead the issue
    Airframe ResearchMap · Q2 2026
    Where build still pays

    The Build-vs-Buy Map.

    A category-by-category read on where in-house agent builds are out-pacing best-in-class vendor tools, and where the buy side still wins.

    69 categories scored · 10 min readRead the map
    Airframe ResearchReport · Q2 2026
    Where peers are moving

    The Stack Migration Report.

    An editorial read of the legacy-to-modern paths the registry surfaces most often, with reason codes drawn from deployment narratives across the Airframe corpus.

    12 paths · 10 reason codes · 13 min readRead the report
    Airframe ResearchDossier · Q2 2026
    Twelve categories. One pattern.

    The Category Fracture Index.

    Every legacy category the registry reads has more vendors now than in the wave before, and none of them consolidated. Code copilots are the category of the quarter, the steepest curve in the index.

    12 categories tracked · 17,000+ toolsRead the dossier
    Airframe ResearchStudio note
    Mar 5, 2026

    AI Agents Will Transform Customer Success. Here's Who's Building What.

    A market landscape of AI-native entrants vs. incumbents in Customer Success, with analysis of who's building what and why it matters for CS leaders evaluating their next platform.

    By Airframe Research · Mar 5, 2026Read
    Airframe ResearchStudio note
    Mar 3, 2026

    A Buyer's Framework for AI in Customer Success: 30 Workflows That Matter

    A workflow-first evaluation framework for CS leaders comparing AI platforms. Covers 30+ workflows across 8 CS pillars, classifying each as 'same work, faster' vs. 'genuinely new AI-enabled work.'

    By Airframe Research · Mar 3, 2026Read
    Airframe ResearchMarket insight
    May 15, 2025

    AI-Powered Customer Service: Why Companies Can’t Afford to Wait

    If there is one area amongst all the AI initiatives where any organization should consider, customer services is a clear place to start.

    By Airframe Research · May 15, 2025Read
    The Fifty-Year Series3 pieces · 1 published · 2 forthcoming
    01
    Piece 1 · Published May 11

    The $17.8M Ceiling.

    The productivity ceiling moved from $4.6M to $17.8M per employee in seven years. Boris Cherny ships 20–30 pull requests a day. Anthropic at $160M per employee. IBM at $0.7M. The public column is already repricing in plain sight.

    Read Piece 1
    02 · 03Pieces 2 + 3 · Forthcoming

    Three columns. The 9th wave.

    Piece 2 reads the $26T book by ownership column: public, PE, private, acquired. Piece 3 reads what comes next: the 9th wave, a $5 to 50T services wallet, the $500M threshold losing its signal.

    Publishing this summer
    Methodology

    How the data is built.

    Every piece on this page starts at the deployment. 19,000+ tools, 163,000+ organizations, 127,000+ deployment case studies, 12,000+ use cases. Every claim is read off the same cross-company graph, and every figure opens to the records behind it.

    01The bar

    What counts as a tool.

    A product a finance team would recognize. It has org adoption. It is not a feature, not an internal library, not a research project. Paid, free, and open-source tools all count once they're in production.

    • Finance-recognizable
    • Adopted at the org level
    • In production
    02The sources

    How we know.

    Public filings. Vendor disclosures. Interviews the subjects agreed to be cited in. Every claim grounded in the live registry, where every piece links back to the underlying records.

    • 19,000+ tools tracked
    • 127,000+ deployment case studies
    • 12,000+ use cases · 61,000+ persons
    03The cuts

    How we read it.

    Each tool is read against the ones it actually competes with, in the workflows where it ships. When a team has moved off it, we name what they moved to. So the comparison names the tools you are choosing between.

    • Read against the tools it competes with
    • Closest replacement named when teams switch
    • Workflow context, not category labels
    04Why different

    We read what shipped.

    Most analyst desks read what was sold. Airframe sits one layer down, on the cross-company adoption graph, the record of which tools actually reached production, in which teams, with what return.

    • Deployment, not slides
    • Cross-company adoption graph
    • What reached production
    Want a market that is not on this page?

    Name the market. We read every company in it.

    Pick a market from our taxonomy or name your own.