The Anatomy of the Topological Graph.
A unified, governed semantic model that deterministically links your structured databases and unstructured documents—without copying your underlying data.
Product tour
Block 1
Connect & Ingest (Zero-Copy)
Connect regulated systems of record and unstructured document lakes in place, without replatforming or duplicating source data.
Preserve source-of-truth integrity while creating a unified semantic graph across clinical and enterprise workflows.
Connection Status
LiveAccess Controls
User
Clinical Research Associate (CRA)
Block 2
Govern & Secure
Enforce strict regulatory controls with role-based access, preserving source-system permissions across every connected dataset.
Maintain 21 CFR Part 11-compliant audit trails so every access, graph change, and decision remains reviewable and attributable.
Block 3
Activate & Build (APIs & Workflows)
Platform teams use the Graph API to power custom AI agents that reason across structured and unstructured enterprise context.
Combine deterministic graph traversal with workflow automation to orchestrate complex cross-silo actions in production systems.
Graph API Request
curl -X POST "https://api.evercontext.ai/v1/graph/traverse" \
-H "Authorization: Bearer <token>" \
-d '{
"start_node": {"type": "AdverseEvent", "id": "AE-882"},
"target_node": {"type": "ProtocolDeviation"},
"max_depth": 3
}'Example traversal: Epic FHIR AdverseEvent -> CTMS ProtocolDeviation.
How teams start
- 1
Deploy Discovery Agents
Auto-map the topology of existing data silos.
- 2
Human-in-the-Loop Review
SMEs validate and merge the deterministic graph.
- 3
Deploy Agentic Workflows
Connect the graph to Microsoft Teams or custom copilots.
Ready to unify your operational data?
EverContext does not replace your data platform or applications. It provides the operational structure those systems lack.
Request early access