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.

Install Community Edition Book a Demo

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.

Connect. Map. Access from anywhere.

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

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

Three interfaces. Each queries the same structured knowledge.

Your environment. Your data. Nothing hidden.

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

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

Your environment. Your data.
Nothing hidden.