TraceFrame is an AI-powered engineering knowledge platform that helps manufacturing and quality teams search, draft, and reconcile technical documents across their PLM, MES, ERP, and shared drives. It grounds every AI answer, work instruction, and change proposal in cited, revision-pinned regions of source documents so engineers can verify claims with one click. The platform transforms document-heavy workflows into a searchable knowledge layer, reducing manual cross-referencing and change-cycle delays.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturing and quality engineers spend hours tracing requirements across drawings, specs, standards, and revision histories to reconstruct context for their work. When a design changes, they must manually reconcile every affected document, instruction, operation, and schedule, leading to slow change cycles, costly scrap, and reliance on a few engineers who know where everything lives.
Solution
TraceFrame connects to PLM, MES, ERP, shared drives, and other data sources to turn stationary technical data into a knowledge layer that both engineers and AI can use. Users can ask plain-language questions across drawings, specs, and BOMs, and every answer shows its citation chain. The platform also drafts grounded work instructions and inspection plans with cited steps, and reconciles change impacts by identifying every document, part, operation, and plan affected by a design change. Each response carries citations pointing to the exact region of the exact document, so engineers can open the source and verify in one click.
Target Audience
Manufacturing and quality engineers, as well as technical documentation teams, in hardware companies that manage complex drawings, specifications, and revision histories across production workflows.
Features
- Plain-language search across drawings, specs, BOMs, and work instructions with cited answer chains
- Grounded document drafting for work instructions and inspection plans, with each step cited to its source region
- Change impact reconciliation that identifies affected documents, operations, and BOM items with proposed updates
- Revision-pinned citations that show exactly which document version and region an answer references
- Integrates with PLM, MES, ERP, shared drives, and other enterprise data sources
- AI-generated content designed for engineer review and sign-off, not unsupervised automation