AI Knowledge Bases for Engineering Requirements & Change Requests

WebSmitherz engineers custom, production-grade AI knowledge bases built specifically for engineering and hardware teams. We deploy private, air-gapped vector retrieval databases (RAG) that index engineering specifications, CAD drawings, compliance mandates, and historical change requests (ECR/ECN). When engineers initiate a change, the system cross-references all legacy dependencies and verifies compliance in real time.

Traditional search queries fail when technical documents use divergent terminology across departments. Our AI indexes semantic embeddings of technical specs, tolerances, and BOM lists. When a proposed Engineering Change Notice (ECN) modifies a parameter, the AI traces upstream component dependencies and warns engineers of potential downstream collisions before manufacturing.

Never. We enforce zero-data-retention enterprise API endpoints or deploy completely local, on-premise open-source LLMs (Llama 3, DeepSeek, Mistral) via private GPU clusters behind your corporate firewall. Zero intellectual property ever leaves your secure perimeter.

Yes. We engineer bidirectional API connectors to Jira, Confluence, Arena PLM, Windchill, GitHub, and corporate Slack or Microsoft Teams channels, allowing engineers to query requirements directly from their active development tools.