AI is entering regulated workflows. Existing data platforms were built for storage - not traceable AI-driven action. EverContext Graph links your systems and documents into a governed knowledge graph so every decision is auditable and reviewable.
Discovery Agents detected a structural topology shift.
Confidence 94%: Entity 'Subject_42' (Medidata EDC) is deterministically mapped to 'Participant-042' (Unstructured Adverse Event Log).
Proposed Edge: [HAS_ADVERSE_EVENT]
Human Review
OPERATIONS VIEW: Strategic Insights Canvas
Prompt
Analyze the root cause of the 40% enrollment drop at Site 42 over the last quarter.
Insight
EverContext traversed the graph and linked the CTMS enrollment drop to a fasting blood draw requirement buried in Protocol Amendment 3 (Unstructured PDF), which conflicts with localized site demographics.
Action: Draft Protocol Amendment rationale and route to Microsoft Teams Clinical Ops channel.
What you get
EverContext Graph Engine
A continuously evolving operational knowledge graph that models relationships across systems, documents, and decisions.
Connectors
Connect to enterprise systems of record and regulated content platforms without disrupting existing operations.
Microsoft FabricVeeva VaultEpic EHRDynamics 365
Strategic Insights Workflows
Use reference workflows to surface systemic bottlenecks, explain root causes, and orchestrate next-best actions.
Agentic API Layer
Power custom assistants and autonomous enterprise workflows with governed graph traversal APIs.
Teams typically start with one high-impact workflow and expand scope over time.
EverContext can be used via strategic insight surfaces and APIs, and integrates into tools teams already use.
Who this is for
Clinical operations and regulatory teams managing complex, cross-system workflows.
Data and platform teams supporting AI initiatives in regulated environments.
What EverContext provides
Designed to complement your enterprise data estate and operational systems.
A governed semantic layer that links structured systems and unstructured documents without copying data
Continuous graph evolution through discovery agents and human-in-the-loop validation
A governed foundation for strategic insights, decision memory, and agentic enterprise workflows
Permissions aligned to systems and teams so the right stakeholders act on the right context
What EverContext is not
EverContext sits between raw data platforms and end-user applications, providing the missing semantic structure.
Not a data lake / warehouse
Not a rip-and-replace migration
Not a standalone BI/analytics product
How it works
Connect
Link structured and unstructured enterprise data sources without replatforming or data migration.
Enrich
Automated graph updates propose relationship changes, with expert validation where required.
Activate
Traverse governed graph context to generate strategic insights and route high-confidence actions.
Common Starting Points
High-leverage entry points for regulated, enterprise-scale operations.
Protocol deviation analysis
Identify recurring protocol deviations by linking CTMS records, protocol documents, and site notes.
Continuous knowledge graph updates
Keep graph relationships current as new records and documents arrive across source systems.
Contextual Enterprise Search
Allow teams to query across silos using mathematical relationships, not just keyword vectors.
Audit-ready decision history
Preserve traceable rationale and approvals across studies, teams, and regulatory reviews.
Early access
We're onboarding a small number of teams focused on systemic intelligence and clinical operations. Share your email for early access.
Early collaborators get hands-on onboarding and direct roadmap input.
