Graphify Labs
Graphify Labs provides a code knowledge graph that maps an organization's entire codebase into a queryable structure, enabling AI coding assistants to answer with traceable, evidence-backed paths instead of fuzzy retrieval. The engine parses code locally using 36 tree-sitter grammars with no uploads or telemetry, and integrates with 17+ coding assistants via MCP. It also offers PR review automation and formal verification for enterprise merge gates.
- Developer Tools
- Artificial Intelligence
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Enterprise engineering teams struggle to get accurate, context-aware answers from AI coding assistants because these tools rely on fuzzy chunk retrieval or grep-based search, losing the structural relationships between code, dependencies, and documentation. This leads to unreliable suggestions and makes it difficult to assess the blast radius of changes before merging.
Solution
Graphify Labs provides a persistent, queryable knowledge graph of an organization's entire codebase across every repository, enabling AI assistants to traverse real paths and trace dependencies with native multi-hop reasoning. The engine parses code locally using 36 tree-sitter grammars—no uploads, no telemetry—and exposes query, path, and explain commands via MCP, allowing any MCP-compatible assistant to access the graph. Every answer is backed by a traceable path through the graph spanning code, docs, wikis, and contracts, giving engineers evidence rather than opinion. For pull requests, the `graphify prs` command triages CI, review, and merge-conflict risk, while enterprise checks enforce formal verification at the merge gate. Graphify can be deployed as SaaS, BYOC, or fully air-gapped, and is available under an open-core Apache 2.0 license.
Target Audience
Primary users are enterprise engineering teams and platform engineers working in regulated or audited industries that require traceable, evidence-backed AI assistance and change verification, as well as individual developers using open-source tooling.
Features
- Interactive repository graph mapping symbols, communities, and god nodes with click-to-inspect functionality
- Fully on-device parsing engine with 36 tree-sitter grammars and no uploads or telemetry for privacy
- Query, path, and explain CLI commands for assistant traversal of real code paths instead of re-reading files
- Cross-repo persistent graph that follows owners across services and tracks dependent repositories
- PR review automation that triages CI status, review quality, and merge-conflict risk using graph-aware analysis
- Formal verification at the merge gate for enterprise compliance, plus graph-aware differential verification
- MCP integration supporting 17 coding assistants including Claude Code, Cursor, Copilot, and Codex