Source content
Drawings, BOM rows, FAI characteristics, supplier emails, requirements, comments, inspection records.
Engineering answers rarely live in one file. What matters is which part, feature, requirement, supplier, inspection, decision and revision every piece of information belongs to.
Illustrative cross-document intelligence — available through a scoped custom project
An engineering record combines entities, evidence, revisions and relationships rather than collapsing everything into text chunks.
Drawings, BOM rows, FAI characteristics, supplier emails, requirements, comments, inspection records.
Parts, suppliers, requirements, processes and quality — with source-linked entities and relations.
Revisions, versions, superseded values, approvals, and why an engineering decision changed.
Lineage views, impact questions, traceability evidence and structured data for AI applications.
Choose an example to see the kinds of relationships a custom IrisX workflow could bring together.
A proposed material change can affect a part's BOM, specification, drawing callouts, FAI results and previous engineering decisions.
Proposed output: an evidence-linked review package, not an automatic engineering approval.
Raw text tells an AI system what a page says. Structured relationships can help it understand which requirements, parts, revisions and source documents matter to a question.
Explore AI-ready technical data →Custom architecture example; not a claim of an installed knowledge graph.
Bring a representative set of documents and a question. We'll help scope what could be connected and how to validate it.