We parse a repository into an abstract syntax tree and a dependency knowledge graph, then reason over it with GraphRAG. The result: due-diligence reports, modernization roadmaps and an always-on AI architect — every answer traceable to the code, not hallucinated.
One engine, three offerings — from a one-off report to an always-on assistant.
A fixed-fee report for investors, PE firms and acquirers — know the codebase before you buy it.
The discovery phase every modernization program needs — the map and the plan, before a line is rewritten.
The architect a smaller team doesn't have — always on, grounded in your actual code.
Built entirely on public techniques — AST parsing, graph databases, embeddings and LLM orchestration — so answers trace to real code structure, not a language model's guess.
Every file is parsed into an abstract syntax tree with a language-agnostic front end, extracting symbols, calls, imports and definitions.
Symbols, files, modules, services, APIs and database tables become nodes; calls, dependencies and data flows become edges in a queryable knowledge graph.
Static analysis over the graph surfaces cyclic dependencies, God classes, layering violations, dead code, security-pattern issues and modernization candidates.
GraphRAG lets an LLM answer questions and generate reports grounded in the graph — every claim citing the file, function or dependency it came from.
See a slice of this live in the Find & Fix demo — scan code, review a proposed patch, approve it.
A fixed-scope path — most assessments deliver in days, not months.
Read-only access to the repository (or an offline copy) in your environment — nothing leaves it without agreement.
We build the graph, run the analysis, and validate findings against the team's understanding.
A due-diligence / modernization report, or a live AI-architect workspace over your code — your choice.
A large, ageing monolith was risky and slow to change, and manual decomposition analysis would have taken months of senior-engineer time.
The engine built a dependency graph of the codebase, clustered cohesive modules into candidate services with GraphRAG and code reasoning, and produced a prioritized, phased migration plan.
A defensible modernization roadmap in a fraction of the manual effort. Read the full case study →
Whether you're acquiring it, modernizing it, or just inherited it — point us at the repo and we'll map it.
