The context graph for enterprise AI
The governed foundation where agents, teams and systems share context, coordinate work and compound knowledge.
Own your context.
Coordinate agents. Govern change.
On infrastructure you own.
Coordination is becoming the defining problem of the enterprise.
Companies are adding agents across research, product development, operations, and internal workflows. But the enterprise was not built for systems that continuously retrieve information, update records, and trigger downstream actions across the business.
Fragmented context
The facts that matter are scattered across documents, chats, SaaS tools, and legacy systems. Some of it is unstructured. Some of it is dark data. Some of it lives only in people's heads.
Agent-driven chaos
As agents start retrieving from and updating multiple systems, coordination breaks down. Actions overlap, writes conflict, and small automations create system-wide side effects teams cannot fully see or govern.
No governed change
The enterprise lacks a clean workflow for governed change. Policies are hard to encode, ownership is unclear, and changes made in one system rarely propagate cleanly to another.
Without coordination, this becomes operational chaos at machine speed.
How it works
Zero lock-in. Your data stays yours.
Open-source storage built on Lance and Apache Arrow. Your data stays in formats you can read with any tool. No proprietary encoding. No vendor-owned state.
What becomes possible
When AI agents work from the same structured context as the rest of your organization
Competitive Intelligence
A structured competitive landscape that stays current as signals change
Competitive signals are scattered across news feeds, patent filings, earnings calls, and analyst reports. By the time someone assembles the picture, it's already out of date. Teams make strategic decisions on stale intelligence.
Schedule a DemoAgents monitor public filings, patents, pricing changes, and market signals, then write structured findings back to the graph. Strategy teams can query a current picture instead of waiting for a quarterly report.
Continuous
monitoringBroader
signal coverageFirst workflow live in weeks
Get an initial workflow live in weeks. Your context graph deploys on infrastructure you own, integrates with what you have, and starts delivering governed coordination from day one.
Context graph and ontology
We model your domain in code. Entity types, relationships, and governance rules are defined, compiled, and type-checked before data enters the graph.
Technical integration
Your context graph connects to existing systems. ERP, CRM, data warehouses, and agent frameworks connect into governed graph state.
Production
Your first production workflow runs on structured, versioned knowledge. Every change is tracked. Every decision is traceable. The graph compounds value over time.
Those who bet on coordination
