Your organisation. Your documents. Your code.
All graph-grounded.
Three independent products — each purpose-built for a different domain. No hallucination. No inference beyond the evidence. Exact answers that trace back to the source.
OrgEdge
See how your organisation actually works — strategy, structure, people, process, and governance connected in a single living model. AI assessments grounded in your model, not generic templates.
- Trace any objective to the team delivering it
- Assess management quality against your structure
- Governance from board resolution to frontline decision
- AI agents that understand your org, not a generic one
EdgeCore
Ingest any document corpus — project appraisals, risk registers, enterprise architecture, policy libraries, operational procedures — and get exact, citation-backed answers. The graph understands what your documents mean, not just what they say.
- Graph-grounded answers across your full corpus
- Multi-hop joins across projects, operations, and policy
- Temporal model — query "as of Q3" against any corpus
- Every claim traces to a source document span
SysEdge
Requirements traceability from user story to code symbol to test. Works natively inside Claude Code and Kimi Code. Every feature has a use case; every use case has a test; every test is linked to source.
- US → UC → Feature → Symbol → Test traceability
- AI test quality audit against architecture standards
- Coverage gaps surfaced at every session start
- Native Claude Code and Kimi Code integration
Answers from the graph, not from inference.
Each product is a typed knowledge graph with a provenance-tracking assertion store. Every claim returned by the system cites the assertion ID it came from. If the graph doesn't hold the answer, the system says so. It does not interpolate, extrapolate, or guess.
The three products are independent. They share an architecture and a commitment to grounded answers — not a shared data model or a forced integration.
Request a demo →BLUE — OrgEdge · TEAL — EdgeCore · AMBER — SysEdge
Pick the product that fits your problem.
Each product stands alone. You can run one, two, or all three — they share nothing except an architecture and a commitment to grounded, provenance-tracked answers.