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The Context Layer for AI Engineering

LLMs are transforming how software is built, but they're operating blind

Modern applications are too large, too distributed, and too fast-moving for a model's context window. Torhin fixes that by continuously building and maintaining the full operational context of your system.

The Platform

An agentic context management platform where all context—from design docs through codebase to database—is unified in a single place. Automatically generated, continuously updated, and easily extensible through an intuitive UI.

Always Up-to-Date

CI-driven context refresh via GitHub Actions, continuous monitoring of databases and documentation to ensure your context is always current

Complete Picture

All context from design docs, codebase, database schemas, and project management in one unified platform

Extensible UI

Human-friendly interface where you can review, validate, and extend upon automatically generated context

Automated Test Generation

The platform automatically generates comprehensive tests based on your context:

  • Unit tests generated from code patterns
  • Integration tests based on system architecture
  • Data quality checks from database schemas

Self-Service Setup

Get up and running in minutes, not days:

  • Simple OAuth-based integration setup
  • Automatic context discovery and indexing
  • Production-ready in under 30 minutes

Torhin becomes the missing context layer

Between your engineering stack and AI, enabling agents to work with complete, validated information about your system through structured API endpoints and MCP integration.

Integrations

Torhin seamlessly connects with your entire engineering stack. All integrations are production-ready, with more being added continuously.

codebase

GitHub

codebase

GitLab

codebase

Bitbucket

database

PostgreSQL

database

MySQL

database

MongoDB

database

Supabase

docs

Notion

docs

Confluence

docs

Google Docs

project

Linear

project

Jira

project

Asana

communication

Slack

communication

Discord

Scroll to see all integrations. Hover over any integration to see its category. More integrations are being added regularly.

Coding Tools Are Not As Productive As They Could Be

AI agents today lack the contextual information they need to be truly effective. This fundamental gap is why they struggle with complex tasks and produce suboptimal solutions.

Context Fragmentation

Engineering information is scattered across multiple systems—GitHub, Confluence, Jira, databases. No single view of truth.

Rapid Information Decay

Code changes, database schemas evolve, but documentation falls behind. Stale context leads to hallucinations and bugs.

Insufficient Context Windows

Even with extended context windows, fitting all necessary information about large systems remains impossible.

Manual Context Curation

Teams spend hours manually assembling context for AI—a tedious, error-prone process that slows down development.

Simple, Transparent Pricing

Pay only for what you use. Start small and scale as your team grows.

Per Engineer

$10/month per engineer
  • Full platform access
  • Automated context generation
  • All integrations included
  • API access
  • Email support

Token Usage

$0.001/1K tokens
  • Pay-as-you-go pricing
  • No minimum commitment
  • Volume discounts available
  • Transparent usage tracking
  • Monthly billing

Enterprise

Custompricing
  • Dedicated support
  • Custom integrations
  • SLA guarantees
  • On-premises option
  • Priority features

Ready to Transform Your Development?

Join the beta and be among the first to experience the future of AI-powered development.