The challenge
Organizations had plenty of systems - data platforms, analytics tools, AI point solutions - but none of them built a shared understanding of how the organization actually works, so decisions had no defensible evidence trail.
What we built
- Context Graph - data, documents, vectors and process state unified in one place, with time and provenance built in
- Reasoning layer - every recommendation traces to its evidence and the counter-case, scored for readiness before action
- Logic Engine - how expert teams decide, captured as replayable pipelines humans and AI can both author
- Governed Agents - real AI autonomy under budget limits, human approval gates, and a full audit trail
- Organizational Memory - lessons from real work become curated, quality-checked guidance the AI actually cites
- Connectors across Snowflake, Jira, Tableau, ServiceNow, Postgres, SharePoint, Excel and SAP
Outcome
[Add a real metric: connected data sources, organizations onboarded]