Context that follows every mission.
Knowledge ingestion. Semantic search. Decision history. Code-and-requirement linkage. End-to-end traceability — built into EngynGrid.
- Ingest: Knowledge ingestion · Continuous ingestion from connected systems.
- Capture: Decision history · Why we chose X — preserved and queryable.
- Link: Code + requirement linkage · Every diff joined to its acceptance criteria.
- Recall: Semantic search · Hybrid vector + graph retrieval with provenance.
- Trace: Traceability · Goal → mission → diff → test → release → incident.
- Uptime
- 99.98%
- Latency
- 14.2ms
- Nodes
- 128/128
Across the architecture
- 7 layers · open at every contract
- mcp · openapi · gRPC · graphql
- cloud · vpc · air-gap · same control plane
- cmk / hsm · zero retention by default
- anthropic · openai · oss · provider-neutral
What lives in the graph.
Five things live in EngynGrid's context graph. Pick one to see where it sits.
Knowledge ingestion
Continuous ingestion from connected systems.
Semantic search
Hybrid vector + graph retrieval with provenance.
Decision history
Why we chose X — preserved and queryable.
Code + requirement linkage
Every diff joined to its acceptance criteria.
Traceability
Goal → mission → diff → test → release → incident.
End-to-end traceability, built into EngynGrid.
Goal → mission → diff → test → release → incident.
Each step links to the one before it, so an incident can be walked back through its release, test, diff and mission to the goal that started it.
- Goal
- mission
- diff
- test
- release
- incident
Goal → mission → diff → test → release → incident, linked end to end.
Start a Software Factory pilot.
Connect one repository, one ticketing tool, and one mission. See evidence in days, not quarters.