ReframeBuild faster
Ship at agent speed.
Your engineers build software with AI doing the heavy lifting inside controlled environments, so the pace of delivery goes up without the exposure that usually comes with it.
How We Deliver
One engagement. Two phases, and a capability you keep.
We do not hand you a login and wish you luck. We stand up a secure, AI-first capability inside your own cloud, then hand your own people the keys, so your firm owns and extends it long after we step back.
What You Keep
A secure, AI-first capability your own people own and extend.
Not a tool you rent and not a dependency on us. One engagement that leaves your firm building with AI at speed, on your own data, under controls your risk committee already trusts.
Stay safe
Governed by construction.
Every action is policy checked and recorded, not trusted on good faith. Safety is the default path through the system, not an act of discipline someone has to remember.
Use your own data
A model your applications can reason over.
The Ontology Platform turns your clients, matters, documents, and the relationships between them into one shared model. Your applications and your AI reason over the same trusted understanding of your world.
1
Phase 1
Secure AI Factory.
First, a secure place to build with AI. One hard trust boundary inside your own cloud, Microsoft-native, with Reframe as the single governed layer across it. Speed never comes at the cost of safety.
One Governed Layer
Azure isolates. Reframe governs.
A private enclave inside your Azure tenant, with no inbound path from the internet and a single allow-listed, inspected route out. Every AI call passes through one signed-policy gateway, and every action lands in a tamper-proof audit log.
The boundary
One hard trust boundary.
- Inside your own cloud. A private network with no inbound from the internet, and egress that is allow-listed and inspected.
- Microsoft-native. Identity, network, runtime, and confidential compute are controls your security team already runs.
- Reframe as the governed layer. The single control plane every model, tool, and action passes through, and cannot bypass.
The services
We build the services that let agents move fast, safely.
- Isolated by default. Agents work inside ephemeral, disposable workspaces with no path to production.
- Tear down, not clean up. Each workspace is created on demand and destroyed when the work is done.
- Speed without exposure. The agent can experiment freely because the blast radius is contained by design.
1
Plan
Policy as code defines the scope and the guardrails before work begins.
2
Build
Agents build in ephemeral workspaces, every call through the governed gateway.
3
Verify
A verify-before-finish gate: build, tests, type-check, lint, and adversarial review.
4
Secure
Secret scanning, dependency and artifact signing, and a red-team pass.
5
Release
Human sign-off and approval workflows, promoted through infrastructure as code.
6
Operate
Tamper-proof audit, cost budgets, continuous evaluation, and an emergency stop.
Knowledge transfer
We train your engineers to ship safely inside the factory.
Your developers learn to deploy through the governed layer, not around it. The factory is only valuable if your own people can run it, so we hand over the controls until your team keeps shipping at the same speed and the same safety without us in the room.
2
Phase 2
Ontology Platform.
Then we put your own data to work. We map your world into one shared model, stand it up as a live platform, load real data, and prove search you can trust before anyone depends on it.
From Map to System
Your world, mapped into one shared model.
Clients, matters, documents, and the relationships between them, made explicit and run as a defined project with clear owners and a result you sign off on. The map you approve becomes the live Reframe Ontology Platform, not a diagram on a shelf.
We map your world
One shared model.
- The things you work with. Clients, matters, documents, and entities, made explicit rather than buried in systems.
- And how they relate. Not a list of records, but the connections between them your people already reason over.
- Run as a project. Clear scope, owners, and a signed-off result, then extended per practice area.
We load real data
Search you can trust.
- Real data sets. We populate the platform with your actual information, not toy examples.
- Tested for accuracy. We confirm that search and retrieval return the right answers, grounded to the source.
- Trust before rollout. You see the platform performing on your own data before anyone comes to depend on it.
Sign-off and adoption
You sign off, then we train your people and developers.
Nothing goes wide until you are satisfied the platform is accurate and ready. Then we train your end users to reach for search and the connected tools in their daily work, and we train your developers to build governed AI applications on the same trusted model. That is where the two phases meet: the secure factory and the Ontology Platform now work as one capability.
The Sequence
One numbered path, start to sign-off to self-sufficiency.
The two phases run as a single ordered program. Each stop stands on its own and hands off cleanly to the next, ending with a Center of Excellence your firm runs without us.
The program, stop by stop
1
Phase 1
Discover
Frame the scope, the sources, and the guardrails before any build begins.
2
Phase 1
Deploy platform
Stand up the secure enclave and the governed layer inside your own cloud.
3
Phase 2
Map firm ontology
Model the firm-wide entities and the relationships between them into one shared model.
4
Phase 2
Map practice areas
Extend the model to the entities and obligations specific to each practice.
5
Phase 2
Ingest and test
Load real data sets and test search and retrieval for accuracy on your own information.
6
Phase 2
Validate and sign off
A formal gate on entity accuracy, linkage, and retrieval relevance, approved by you.
7
Phase 2
Train users
Teach your people to use search and the connected tools in their daily work.
8
Phase 2
Enable developers
Teach your engineers to build governed AI applications on the trusted model.
9
Leave-behind
Center of Excellence
Standards, intake, and reporting, so the firm operates and extends the capability without us.
A Formal Gate
Nobody depends on it until it clears the gate.
Before the platform goes wide, it has to pass a formal validation gate on your own data. Three measures decide whether it is ready, and the sign-off is yours to give.
Measure 1
Entity accuracy
Provenon your own data
The clients, matters, counterparties, clauses, and deadlines the platform extracts match the source. The right things, resolved correctly.
Measure 2
Linkage completeness
Capturedin the graph
The relationships between entities are present and correct, so the connections your people rely on are actually captured in the graph.
Measure 3
Retrieval relevance
Groundedto the source
A question returns the right answer, grounded to the right source. Search performs on your own information before anyone comes to trust it.
The gate is formal, and the sign-off is yours. Measured gates for entity accuracy, linkage completeness, and retrieval relevance, passed on real data before anyone depends on it. Only when all three clear, and you approve, does the platform move to rollout.
The Engagement Shape
Two phases. One capability you keep.
One engagement, delivered at altitude by a small senior team. A defined scope, a result you sign off on, and a capability that stays when we step back.
First engagement
Two phases
Discover to sign-off to Center of Excellence
Both phases delivered inside a single engagement: the secure factory stood up, your world mapped into the Ontology Platform, validated, and handed over. See how the programs are structured on the Services page.
At altitude
A small senior team.
Delivered by the people who built the platform, working close to your engineers, not layers of hand-off.
Scoped up front
Defined, not open-ended.
A clear result you sign off on, and an engagement model set before we start. See the services
The Leave-Behind
A secure capability, owned by your firm, running without us.
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.
A capability like this compounds. The firms that built it first get harder to catch the longer the rest wait.
or write to hello@thereframe.ai