Sovereign Knowledge Infrastructure

AI pipelines built for security and scale

Turn your proprietary data into AI-powered intelligence — entirely within your secure perimeter.

From deployment to production
in five steps

Foundation4 gives you full control over your AI infrastructure — from data ingestion to governance — without ever exposing your proprietary data.

1
🏗️ Deploy Your Way

Self-managed infrastructure means your proprietary data never leaves your environment. Run on-prem, in your VPC, or any cloud you control.

On-Premises VPC Air-Gapped
2
🔌 Connect Data Sources

Ingest proprietary data via API, MCP, webhooks, and file repository triggers. Bring in the data that matters — on your terms, on your schedule.

REST API MCP Document Repositories
3
⚙️ Build Smart Pipelines

Configure embedding models, text chunking strategies, and automated data lifecycle policies to keep your knowledge base accurate and up to date.

Embeddings Chunking Auto-Expiry
4
🤖 Configure AI Agents

Connect your preferred LLMs through an OpenAI-compliant REST API. Define agent behaviors, set permissions, and tailor capabilities to your use case.

OpenAI-Compatible Multi-LLM REST API
5
🛡️ Govern & Monitor

Manage data lineage, clearance levels, and metadata from a single platform. Full observability and compliance built right in.

Data Lineage Clearance Levels Compliance

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Why we built on PostgreSQL
Technical Deep Dive

Why we built on PostgreSQL

We made a decision early on to leverage PostgreSQL and pgvector for our data store instead of a dedicated vector database. Our single-stack architecture allows us to deliver capabilities that split-system architectures struggle to match.

Ready to build with foundation4?

Ready to start building? We'd love to talk with you about your use case.

Contact Us