Unify
Your firm's knowledge,
available to every run
What are we indexing?
Five active sources, 414M rows. Snowflake factor_metrics is the heaviest; FactSet fundamentals re-indexed at 04:12 after the schema pin.
Unify is the context layer agents draw on. Your procedures, prior work, and the corrections your experts make accumulate in a filesystem agents traverse, so every run starts from what your firm already knows.
A .context filesystem
Hybrid retrieval
Permissions follow grants
Captured, not lost
Your team's corrections carry forward
Your procedures, decisions, and corrections sit alongside your source data, never replacing it, and inform every future task.
- What an agent learns is written back as structured context.
- A captured rule pulses into the graph the moment it is learned.
- The knowledge is yours and stays in your perimeter.
Institutional context that compounds
Not a search box bolted on, but a knowledge layer that gets richer with every task.
A .context filesystem
Agents traverse your knowledge the way they navigate a code repo, with a .context directory at every level.
Hybrid retrieval
Every query is grounded in the full breadth of your institutional information, not a single index.
Sleep-time distillation
Between tasks, raw traces are distilled into structured context, shifting compute to idle time and sharpening retrieval.
Org, team, individual
Context is hierarchically partitioned, so a run inherits firm-wide standards and the team's local knowledge at once.
Agents capture what they learn
Observations and corrections persist as structured context that future agents see at retrieval time.
Permissions follow grants
An agent only retrieves what the person behind it is allowed to see; the context layer respects every grant.
Applied automatically
Your rules apply automatically
When an agent drafts, your firm's rules apply on their own, and each one links back to where it came from.
- Risk rules, approval thresholds, and house voice applied by default.
- Each applied rule cites the .context entry behind it.
- Reviewers see why a call was made, not just the result.
Built for production work.
Run anywhere.
Hosted. Your VPC. Air-gapped. The on-prem Context appliance.
Use any model or agent.
Claude, GPT, Gemini, Kimi, or open weights. Bring your own agent framework, or use ours.
Enterprise-grade authorization.
Identity through your IdP. Customer-managed keys. Audit on every action. Permissions inherited at every connector call.
A complete working environment.
Documents, spreadsheets, decks, kanbans, and file viewers built in. Your team and agents work on the same files in the same environment.
Faster, cheaper, better
Custom models trained on your work
Your team's accepted outputs become training data for models you own and serve, and they beat general-purpose agents on your specific tasks.
Evals gate every change
Rubrics and golden sets validate every runbook, model, and context change against past work before it ships. Regressions are caught automatically.
Step-level model routing
Each step routes to the cheapest model that clears your rubric. Frontier models handle only the genuinely novel, so cost falls without losing quality.
Talk to us.
Bring a workflow your team runs today and see it run in your environment.