C64.AI builds the context layer between enterprise engineering systems and AI agents so models can work with connected, governed, real-world engineering context.
AI receives the right engineering context instead of long, unstructured document dumps.
Relationships, dependencies, versions, and rules are made explicit for AI agents.
Responses can be grounded in source systems, graph relationships, and governed context.
AI agents operate inside controlled boundaries instead of disconnected pilots.
Moves beyond “send everything to the model.”
Moves beyond “train the model on your data.”
Moves beyond “ask questions over documents.”
Moves beyond “build a chatbot for every workflow.”
“From scattered engineering data to one governed context layer for AI reasoning, traceability, and action.”
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Disconnected systems - Information remains spread across PLM, ALM, ERP, CAD, documents, and test systems.
Manual search - Engineers spend hours finding the right document, requirement, test, or decision history.
Slow decisions - Every change requires people to manually collect impact, dependencies, and risks.
AI pilots that don’t scale - Generic AI tools answer questions but struggle with real engineering workflows.
Lost expertise - Knowledge remains in emails, documents, project history, and people’s heads.
Rework and errors - Missing context leads to repeated work, wrong assumptions, and late-stage surprises.
Connected engineering context- One context layer links data, relationships, versions, rules, and decisions.
Faster answers- Teams access the right engineering context without jumping across systems.
Clear impact visibility- Teams can see what a change affects across parts, requirements, tests, suppliers, and workflows.
Production-ready AI agents - Agents work with governed, traceable context from real enterprise systems.
Reusable organizational memory- Decisions, lessons learned, and expert knowledge become connected and reusable.
First-time-right engineering - Teams make decisions with full context before mistakes become expensive.