The architecture
Five layers. One governed system of context.
Data captured at the source, resolved and stored in a context engine only DashAPI builds, governed for trust, exposed through a model-agnostic interface, and turned into revenue action.
Capture
Data born structured, at the source
Context Engine
The System of Context
Governance
Why enterprises let agents act
Agent Interface
Model-agnostic
Action
Where the budget moves
One source of truth
Identity resolved across every channel, so agents work from one account and person graph.
Agent-ready by design
A semantic model agents can reason over, not free text they hallucinate around.
Enterprise governance
Permissions, lineage, audit, and sovereignty built for autonomous actors.
Where we are today
We're not pretending this is solved.
Identity resolution at enterprise scale, a revenue ontology that holds up across industries, a knowledge graph that stays current, governance an agent can be trusted against: each one is a genuinely hard problem on its own, and garbage-in stays a real risk for any system built on top of messy source data. We're in beta because we're still proving this out with real revenue teams, not because we've finished and are waiting to flip a switch. If you're evaluating us, ask us directly where we are on each of these. We'll tell you.
Ready to run your agents on trusted context?
Join the beta and be one of the first revenue teams on the System of Context.
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