Write against the map.
We are not selling you another visualization dashboard. Coherence is an integration platform giving you the SDKs and APIs to write continuous business logic directly against the underlying complexity of your enterprise infrastructure.
For software architects
Stop building ad-hoc wrappers.
Most large organizations have crossed into distributed-monolith territory — 500+ microservices that all need to talk to each other, with integration code that nobody on the current team wrote. Coherence lets your engineers write business logic directly against the ontology, in Python or TypeScript, without standing up another REST service. The logic runs on the graph. The graph writes back to your source systems.
What it unlocks
- Inject logical updates directly via Python/TypeScript SDK without spinning up ad-hoc REST endpoints.
- Interface with your GitHub and Jira pipelines directly inside the canvas.
- Achieve clarity on the precise blast radius of a deprecated microservice using the simulator.
For DevOps and SRE
Simulate the outage before it happens.
A single Terraform misconfiguration can collapse five downstream product lines. By ingesting your entire cloud topology directly into the ontology, we let you run dependency validation tests in a safe environment.
What it unlocks
- Run deterministic downstream failure simulations against cloud infrastructure before any deployment.
- Deploy automated agents inside CI/CD to pre-calculate pull request consequences before the merge.
- Gain concept-aware querying across Kubernetes clusters and active Docker deployments.
For enterprise architects
Structural integration.
A strategy PDF is useless if engineering ignores it. We use semantic AST parsing to trace exact organizational drift. We structurally constrain the technical reality to the business intent.
What it unlocks
- Ensure every committed PR structurally maps to an approved Enterprise Architecture domain pack.
- Converge source control, Jira, and deployment topologies into a single execution layer.
- Orphan chunk surfacing: any technical asset untethered to your strategy is instantly classified as structural risk.
For compliance engineering
Govern the agents.
Standard compliance checks occur after deployment. Generative AI mutating systems demands upfront boundaries. Coherence implements structural blocking to ensure out-of-scope agents cannot execute operations out of line with your domain map.
What it unlocks
- Establish a hard governance boundary around code-assistant AI output.
- Extract and encode massive unstructured regulatory guidelines using internal workflows.
- Generate a full lineage trace from abstract regulation down to the exact parsed AST lines in seconds.
For AI platform teams
The Copilot Amnesia Problem.
Standard NLP over fragmented data lakes produces unreliable AI output. The Coherence ontology creates a persistent, governed context layer via the Model Context Protocol, grounding every internal agent to your organizational reality.
What it unlocks
- Inject persistent architectural context into Cursor, Devin or your internal LLMs securely.
- Achieve ontology-grounded results on internal RAG operations by routing queries exclusively through the graph architecture.
- Synthesize legacy schemas into high-density vector graphs natively.
See the whole machine.
The Playground is live. Explore a fully populated enterprise ontology. Every module running. Ready to go deeper? Apply for a Discovery Sprint on your own data.
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