ReframeThe Reframe Harness is how your engineers and agents build governed applications on the Ontology, inside your own cloud, and keep them. The platform we deliver becomes a backend your teams compose against, at agent speed, under one set of controls.
One governed layer across your Azure cloud. The software lifecycle layered onto AI under guardrails, so speed never comes at the cost of safety. Every model, tool, and action is gated by construction, not bolted on after the fact.
One governed layer across your Azure tenant, Microsoft-native from the ground up. Reframe sits on top of the controls your security team already runs: network isolation, scoped per-agent identity, signed policy, budgets, and a kill-switch, all on one audited control plane.
Agents develop inside ephemeral environments created on demand and torn down when the work is done. There is no path to production. The agent can experiment freely because the blast radius is contained by design, and the faster it works, the more it matters that the walls hold.
Scope, build, test, and deploy, each stage moves at agent speed with the guardrails built in. Your engineers ship through the Harness, not around it, so every service inherits the same controls the moment it exists.
What was built, by which agent, under which policy, all captured as it happens. Nothing runs outside the governed layer, so your risk committee sees one control plane instead of a dozen tools to reason about separately.
The Ontology is the foundation, and every application compounds on it. These are the surfaces your own engineers and agents stand up, each grounded in the firm's own data and governed the same way.
Live views of every matter, its entities, obligations, and open questions, on one graph.
Negotiated positions, fallback language, and precedent, searchable and grounded to the source.
Governed workspaces where the graph keeps every party, document, and deadline in sync.
Closing conditions and covenants tracked to owners and due dates, flagged before they slip.
New matters ingested, classified, and mapped into the Ontology the moment they arrive.
Review, diligence, and drafting from precedent, run end to end on rails the firm defines.
We do not stop at trained users. We teach your developers to build AI applications against the governed graph, so everything they ship inherits the same controls and the same trusted model of the firm.
Your clients, matters, and documents become one model your applications can reason over. Engineers build against a stable, permission-aware graph instead of stitching together a dozen systems by hand.
Compose reusable tools once and expose them to both your people and your agents. The same governed capability powers a workflow an attorney runs by hand and one an agent runs end to end.
Bring your own models and third party agents through an open connector framework. Every one of them runs under the same access controls, so nothing reaches data it should not, whoever built it.
Your identity, your access controls, your perimeter. Whatever your teams build inherits the firm's controls automatically, and client data never leaves your boundary.
This is not a subscription you rent. The Ontology, the graph, and everything your teams build on them are the firm's own capability, one that grows with every matter and every application, and keeps running long after we leave.
The Ontology is the foundation, and each application compounds on it. Value accrues to the firm, not to a vendor, and the platform is worth more with every team that builds on it.
By the end, your own people run and grow the platform on their own. We leave the engineering, security, and governance standards your teams build by, and then we step back. That is the point.
From a secure enclave to a capability you own.
A secure factory where your teams build with AI at speed, your own data mapped into a trusted platform, and a Center of Excellence that keeps it all running, long after we step back.
Your rivals will own this capability. The only question is when you do.