Engineering Copilot
BMW and Sopra Steria built an engineering copilot with Neo4j and RAG to support functional safety, requirements management, and system modeling for complex E/E and software-development data.
Data requirements
- E/E data (tabular) — The copilot works with complex E/E engineering data.
- software-development data (text) — The copilot works with software-development artifacts and related information.
AI methods and techniques
- Retrieval-Augmented Generation (RAG) — Used to retrieve relevant context from connected engineering data before generating outputs.
- knowledge graph — Used as the structured layer for connected E/E and software-development data.
Industries
Real-world evidence
14 documented case studies on record.
Companies using this: adidas, Amazon, Boeing, Deloitte, Feedzai, Honeywell, Lockheed Martin, Mitsubishi Electric, QuEra, Rolls-Royce, Shopify, Snap, Volvo, BMW.
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