Context Engineering for the Enterprise

Your organization's knowledge,
structured for AI

Forge turns scattered institutional knowledge into a living graph that AI can reason over. Because every AI is only as good as the context it can access.

Knowledge loss is a $31.5B problem
Organizations lose critical knowledge every day through turnover, silos, and fragmented tools. AI makes this worse by demanding structured context that doesn't exist.
$31.5B
Annual cost of knowledge loss in Fortune 500 companies
70%
Of organizational knowledge is undocumented or fragmented
3.6h
Per day spent by knowledge workers searching for information
A graph-native context engine for AI
Four capabilities working together to make your organization's knowledge AI-ready.
🕸

Living Knowledge Graph

Graph-native storage with versioned nodes and semantic search. Knowledge evolves, connects, and surfaces relationships automatically.

🤖

AI-Powered Governance

Multi-agent review councils with trust scoring. Every change is evaluated, scored, and traceable through an auditable chain.

🔒

Tamper-Proof Integrity

Cryptographic hashing with optional on-chain anchoring. Prove what you knew, when you knew it, without relying on trust.

Built-In Compliance

GDPR, HIPAA, and SOX frameworks with complete audit trails. Compliance is a feature, not an afterthought.

Neo4j Graph Database FastAPI React 19 200+ API Endpoints 6,500+ Tests 14-Job CI/CD 5 Compliance Frameworks

The context engineering wave is here

We're looking for design partners who feel this pain.
Structure your knowledge for AI now, or spend a decade catching up.