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Locate relevant entities.
Finds starting points across code, graph, and docs — services, events, types — wherever they live.
Cortexon turns code, docs, and architecture into a reasoning layer engineers can ask questions against. Not search. Not diagrams. Understanding.
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An agentic loop retrieves evidence across code, graph, and docs — then synthesizes an explanation with sources. No answer before understanding.
Finds starting points across code, graph, and docs — services, events, types — wherever they live.
Traverses typed edges outward from known nodes. Follows the system structure instead of wandering through it.
Connects a graph edge, a doc claim, and a runtime metric into one unified view of a single entity.
Collapses retrieved signals into a grounded answer — with citations, confidence score, and the full reasoning trace.
Signals are system-level — dependencies, events, API calls, DB access. Low-level noise is discarded at ingestion.
A graph of nodes and typed edges — depends_on, calls, emits, reads — focused on flow.
The agent identifies gaps, retrieves, updates understanding, and stops only when new retrieval adds little value.
Every answer ships with the graph relationships, code snippets, and docs that support it — plus a confidence level.
Cortexon is a reasoning system, not a visualization tool. These constraints shape every tool, primitive, and answer it produces.
Cortexon is in closed beta. Join the waitlist to be considered for the next cohort.
We're prioritizing teams with 10+ engineers and complex, multi-service codebases.