Your entire system
unified for AI.

Tetrix connects code, services, and infrastructure into a unified knowledge map of your system. AI queries it for full visibility.

A knowledge infrastructure

Modern software systems are too big and distributed for AI. Tetrix maps the fragmented layers into a persistent context.

Every source type. One searchable ecosystem.

Natively ingest source code, infrastructure, engineering standards, and every artifact your team produces. No connectors, no manual syncing — Tetrix indexes your full system automatically.

See how ingestion works

Code and infrastructure in the same reasoning path.

AI sees beyond code files. Cloud resources, service topologies, and Kubernetes configurations mapped alongside your codebase — so every answer reflects your actual architecture.

See how mapping works

Pre-mapped at index time, not on every query.

Every function, class, and dependency is structurally parsed into a persistent knowledge graph. Relationships are pre-mapped at index time through a deterministic process — no inference, no drift.

See how mapping works

Comprehensive context for every answer.

Every query routes through five retrieval paths simultaneously: code search, symbol traversal, dependency trees, semantic matching, and blast-radius analysis.

See use cases
How to use this knowledge map?

Use your system knowledge anywhere.

Deep Research

Execute multi-hop reasoning across your entire architecture. Specialized agents traverse your deterministic graph to map dependencies and blast radius.

See how it works
Deep Research

What you can now ask

Questions you couldn't ask before, your tools answer it now with Tetirx.

What services will break if I change this API endpoint?

Cross-repo analysis

Show me all places this function is called across our codebase.

Impact analysis

What's the performance impact of this database query change?

Migration impact

Helping engineers adopt AI confidently