Know-how, private data, tooling, delivered by humans. Four pillars composed into one operating system for AI transformation, calibrated to your context.
Airframe is infrastructure for AI transformation, not a quarterly report. Four pillars: the graph of what peers actually built, a private data room for your context, tooling that connects agents to your real environment, and engineers who stay until production.
The Airframe graph is built continuously from 1,425 mapped companies, 143,000+ organizations, and 17,000+ tools tracked. It records which tools actually reached production, in which teams, and what happened next. Most research in this space is vendor-funded or consultant-gated; the graph is neither, with 0 vendor sponsorships and no category rankings for sale.
The only way to know what works is to watch what peers actually shipped. Not what the vendor said. Not what the analyst ranked.
Every organization's context is different: integrations, contracts, policies, invoices, renewal dates, team topology, procurement thresholds. Everything Airframe learns about your organization lives in Context, your private data room. Yours, revocable, never resold. Every research query, vendor comparison, transformation brief, and finance report is calibrated against your real situation, not a generic benchmark.
Generic benchmarks don't survive contact with your chart of accounts. The answer has to be calibrated to you, or it's just a slide.
The tooling pillar lands as five customer-facing surfaces that share the same graph and the same private data room, so the work compounds rather than restarts every quarter. Research is where teams analyze options before they buy, the corpus and decision intel built off the live registry. Registry is the working system of record across every AI tool deployed inside the org. Renewals is the lifecycle layer: what to keep, retire, or renegotiate before auto-renewal fires. Transformation is the peer-grounded plan, scorecards, and owners, sequenced against what other teams actually shipped. Context is the ambient workspace layer, Airframe inside Claude, ChatGPT, Cursor, and Windsurf, so the answer arrives where the question already lives.
Boring is the only way agent deployment becomes durable. Shadow IT dies the first time someone in finance reorganizes the chart of accounts.
Intelligence without execution is a slide deck. Every engagement includes senior operators from Airframe who use the agents and the graph to get change management across the line. They map deployments to workflow, run the rollout conversations, embed with finance on AI vendor spend and build-versus-buy decisions, with procurement on contracts, and with the program leads driving the deployment. They don't leave until it works in production.
Intelligence without execution is a slide deck. The senior operator does not leave until the agents are in production, the registry is held by a named owner, and the workflow has crossed the floor.
The founding cohort of technology leaders is building now. Upload your stack free, get the long-tail savings and the calibrated brief, and operate on the same registry finance and procurement are using.