TraceFrame
TraceFrame provides an AI-powered knowledge layer for manufacturing and quality engineering teams, connecting to PLM, MES, ERP, and shared drives to deliver source-cited answers to plain-language questions across drawings, specs, and BOMs. The platform also drafts grounded work instructions and reconciles change impacts, with every response carrying citations to the exact document region for one-click verification.
- Manufacturing / Industry 4.0
- Artificial Intelligence
- Software Only
- Enterprise Software
- Industrial Automation
Funding
Founders
Founder details are not available yet.
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. TraceFrame also provides a coding harness for teams to build and own AI-native manufacturing applications on top of shared infrastructure, including drawing understanding, source-linked answers, approvals, and audit trails.
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 drawing and model-based definition (MBD) understanding, including BOM extraction and change impact analysis
- Coding harness for building custom AI-native manufacturing applications, with pre-built drawing understanding and source-linked answers
- Built-in audit trail and approvals aligned with quality standards like AS9100 and ISO 9001, with all changes and AI outputs logged by user, date, and revision