Software Intelligence Platform
Four products powered by one deterministic Software Graph. Verify before you ship. Review every PR structurally. Discover architecture interactively. Architect what comes next.
PRIVATE PREVIEW · EVERY REQUEST REVIEWED BY A HUMAN
No release-blocking architecture, API, dependency, or authorization regressions found.
Architecture
A−No critical cyclesBlast radius
16Modules affectedAPI surface
1Owner reviewEvidence
4Cited graph factsUserSessionDto requires API owner review.
Four products, one graph
Each product answers a different question. All of them draw from the same deterministic Software Graph — no ML, no guessing, no vibes.
Can I ship this?
Run ~120 deterministic checks across architecture, security, dependencies, API contracts, dead code, and more. Get a readiness score, not a gut feeling.
Is this change good?
Turn every PR into a structural review. See what changed in the graph, who's affected, what breaks. Compare any two points in time.
Help me understand this.
Navigate your codebase as an interactive knowledge graph. Search by concept, trace request flows, find owners. No more reading code to understand code.
What should I do next?
Proactive engineering intelligence. Health timeline, trend detection, migration simulator, and AI chat backed by graph evidence — not vibes.
How it works
Ontoly builds a deterministic Software Graph of your repository — 41 node types, 32 relationship types, content-addressed with FNV-1a hashing. The same graph powers all four products.
Link your GitHub repo. Ontoly runs on every push and PR — no config files, no YAML.
A deterministic graph of every function, class, route, dependency, and relationship. Same code = same graph, always.
Verification scores, PR reviews, interactive exploration, health trends, and AI explanations — all from one graph.
Readiness score
Deterministic checks
Node types in graph
Check categories
Why a Software Graph?
AI can explain. AI can summarize. But AI cannot be the source of truth for whether your code is safe to ship. The graph is.
Same code at the same commit produces the same graph, scores, and grades. Every time. On any machine.
The graph sees relationships — dependencies, call chains, ownership, blast radius. Not just lines that changed.
When AI answers questions, it cites evidence packs — bounded graph subsets, never raw source dumps.
Works where you work
GitHub, VS Code, Cursor, Claude Code, Codex, CI pipelines, MCP clients — all consume the same Ontoly contract.
Browse integrationsAttach deterministic blast radius and policy evidence to pull requests.
Search, trace, and inspect graph evidence without leaving the editor.
Give Cursor structured Ontoly capabilities before it searches source files.
Route codebase questions through deterministic graph evidence.
Ground Codex tasks in the same facts used by CLI and CI.
Turn graph quality, determinism, and policy outcomes into release gates.
Explain bounded evidence packs through a provider-isolated model boundary.
Expose Ontoly’s deterministic capabilities to any compatible client.
Open source foundation
Build locally with the CLI. Get team-wide verification, review, and intelligence with Ontoly Cloud.
01pnpm add -D @0xsarwagya/ontoly-cli@rc02pnpm exec ontoly build .03pnpm exec ontoly search AuthService04pnpm exec ontoly impact AuthService05pnpm exec ontoly evidence "auth flow"06pnpm exec ontoly mcpPrivate preview
Book a 30-minute product-fit session. We'll map where deterministic evidence enters your workflow — then enable your private account.