Context Clue

Context Clue is an AI search tool. ContextClue connects ERP, PLM, CAD, SharePoint and document repositories into a single knowledge graph with semantic search and RAG. It targets manufacturing, automotive and engineering teams that need trusted answers and generated documentation from scattered technical data, with cloud, on-premises or hybrid deployment.

ContextClue is an enterprise knowledge management platform from KMS Technology that pulls data out of documents, ERP, PLM, CAD systems, databases and other repositories and assembles it into one searchable knowledge graph. Large language models, semantic search and graph relationships sit on top of that index, so a user can ask a question in plain language and get an answer that accounts for how the underlying records connect to one another. The pitch is aimed squarely at the problem of scattered information rather than at general chatbot use. The product is built for engineering-heavy organisations: manufacturers, automotive suppliers, and teams that maintain machine manuals, maintenance records, SOPs, BOMs, requirements and quality data. In practice the platform ingests files (CAD, PDF, Excel, planning exports, code repositories and more than 20 further technical formats, with OCR for scanned archives), then exposes them through natural language retrieval and a knowledge graph. On top of retrieval it generates reports, technical documentation, SOPs and summaries from what it has indexed, which is where the Summaries angle comes in. Deployment is flexible by design. ContextClue runs as cloud, on-premises or hybrid, and the architecture is modular enough to start with a single component such as Ingest or Retrieve rather than a full rollout. KMS Technology positions it both as an internal delivery accelerator and as something that can be licensed standalone or bundled into Generative AI engagements, which places it closer to a consulting-led enterprise platform than to a self-serve SaaS tool. That positioning matters when comparing alternatives. ContextClue competes with enterprise search and retrieval-augmented generation stacks built in-house or assembled from cloud vendor tooling, and its differentiator is the packaged connectors, graph layer and deployment options rather than price or a free tier. Buyers should expect a scoped proof of concept and infrastructure planning before production.