About Generate One

We build AI infrastructure for teams that refuse to compromise on privacy, model flexibility, or operational transparency.

Our Mission

We believe every team deserves AI infrastructure that just works. Everyone should have the freedom to choose their own models, control their own data, and build without lock-in.

Our Approach

Fully managed AI infrastructure, built on open-source foundations. Every component does one thing well. From inference to observability, we handle it all so you can focus on building.

Built Different

What sets Generate One apart from the rest.

Self-Hosted

Deploy on your infrastructure. Full control over your data, models, and operations. No cloud vendor lock-in.

Open Source

Built on open-source foundations. Every component is transparent, auditable, and extendable to fit your needs.

AI that Acts

470+ tools across 11 domains. Agents that don't just chat—they search, analyze, and execute real work.

Our Values

The principles that guide how we build and ship.

Sovereignty

Your data, your models, your choice. We believe AI infrastructure should answer to you, not the other way around.

Transparency

Open-source foundations. Every decision documented. No black boxes.

Craftsmanship

We build for reliability and simplicity. Every component does one thing well.

Observability

If you can't see it, you can't improve it. Three-layer monitoring from availability to LLM quality.

What Powers the Platform

Fully managed AI infrastructure, built on open-source foundations.

domains

470+

tools

components

Coolify

Self-hosted PaaS for deploying and managing applications

Forgejo

Self-hosted Git service for version control and collaboration

Authentik

Identity provider with SSO and authentication management

LiteLLM

Unified interface for 100+ LLM providers with intelligent routing

Neo4j

Graph database for knowledge graphs and relationship mapping

Qdrant

High-performance vector database for semantic search

Langfuse

LLM observability platform for tracing and analytics

PydanticAI

Type-safe agentic AI framework for production workflows

Platform Evolution

Phase 1: Foundation

Core infrastructure deployed: PostgreSQL database, Redis caching, and Cloudflare edge routing.

Multi-model routing with intelligent failover across OpenAI, Anthropic, and open-source providers.

Phase 2: Knowledge

Neo4j graph database and Qdrant vector search with 4-stream hybrid ranking.

Document ingestion pipeline with intelligent OCR for scanned documents and PDFs.

Phase 3: Security

Authentik SSO with OIDC integration. Per-tenant data isolation and namespace separation.

Content guardrails with multi-layer prompt injection detection and output filtering.

Phase 4: Agent Platform

470+ MCP tools across 11 namespaces. A2UI components for agent-to-UI interactions.

Managed API gateway, usage-based billing, workflow automation, and headless CMS.