Connect. Map. Access from anywhere.

One step between your system and a queryable knowledge structure.

Connect & Ingest

Bring all your data sources. Each becomes part of a unified knowledge system.

• Multi source indexing: Ingests context from across your entire stack, natively reading source code, PDFs, Markdown, and JSON files.
• Live Infrastructure mapping: Connects to AWS and Kubernetes to map architectural dependencies directly alongside code.
• Native Monorepo Awareness: Automatically categorizes and understands multiple sub-projects and languages within a single massive repository.
• Flexible CLI & SDK Ingestion: Instantly index standard codebases via the CLI, or safely map proprietary data using the Tetrix SDK. Built-in guardrails ensure your custom ingestion logic translates perfectly into AI-ready context.
• Incremental Diff-Syncing: Processes only new components and updates after the initial index, ensuring continuous speed.

Parse & Map

Compiles your system deterministically. LLM reasons over this structured knowledge.

• Entity-Centric Storage: Data is parsed into Entities, an atomic unit that bundles raw data, vector embeddings, exact text, metadata, and pre-computed relationships into a single queryable unit.
• Deterministic Parsing: Extracts symbols and structures mathematically using ASTs, completely bypassing slow LLM inference.
• Automated Annotations: Our proprietary context database automatically generates contextual annotations for indexed functions, explaining their business value, developer intent, and end-user impact.
• Document chunking: Integrate your system context into your custom automations. Make them System-aware.
• Upstream/Downstream Mapping: Pre-calculates exact dependency relationships across the entire software ecosystem.
• Event Lifecycle Tracking: Natively tracks creation and update events for every entity directly within the database schema.

Access

Three interfaces. Each queries the same structured knowledge.

• Deep Research: The native interface for investigations that cross repositories, infrastructure, and documentation. Specialized agents research, reason, and act in a single session.
  Explore Deep Research

• MCP: Connect Cursor, Claude Code, and other MCP-compatible tools to the same structured knowledge. Your IDE queries a pre-mapped graph instead of reading files one at a time.
  Explore MCP

• API: OpenAI-compatible endpoint for programmatic access. Build custom agents, CI/CD integrations, and internal tooling on the knowledge layer.
  Explore the API

Your environment. Your data. Nothing hidden.

Runs in your environment: Deployed in your own cloud. Bring your own LLM. No data leaves your infrastructure, ever.

• Read-only by design: Tetrix never executes code, never modifies infrastructure, never trains on your data.
• See everything it knows: Access every indexed symbol, relationship, and embedding. Every response reasoning cited to its sources.