BigMachine turns evolving engineering drawings into structured, traceable data that powers automated change tracking and review across infrastructure projects.
A system for reading engineering drawings and capturing design intent as structured data.
BigMachine reads engineering drawings to extract tags, text, symbols, and relationships, preserving layout and connectivity from the original design.
Extracted elements are interpreted in engineering context, capturing how systems connect, how equipment functions, and how designs are intended to work.
The resulting engineering data model drives automated change management, drawing reviews, quality checks, and other execution workflows.
Automatically generate changelogs by comparing drawing revisions and recording added, removed, and modified elements.
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Run configurable quality checks against drawings and resolve issues directly in context, producing clean, marked-up outputs.
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Extract equipment, instrument, and line lists directly from P&IDs with associated attributes and tags.
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Apply project-specific logic to extracted engineering data to allocate costs, engineering hours, and scope across a bid.
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Coming soon: Extract comments and markupsfrom drawings and verify that they have been addressed in subsequent revisions.
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BigMachine combines computer vision with engineering domain models to understand drawings with high accuracy.
Break drawings into regions, symbols, text, and connections while preserving spatial relationships.
Interpret elements in engineering context, including connectivity, flow paths, control logic, and safety constraints.
Construct a structured engineering graph that captures relationships and dependencies across the project.
Everything you need to extract, structure, and automate workflows from your engineering drawings - validated in production.
Extraction and classification accuracy validated across 10,000+ drawing sheets in production environments.
Unified, structured representation that captures equipment, symbols, and relationships across entire projects.
Automated comparison and changelog generation for drawing revisions, reducing weeks of review work to minutes.
Handles different tagging philosophies and symbology standards seamlessly - create custom dictionaries for global or project specific work.
Export extracted engineering data in standard formats for seamless integration with your existing tools and workflows.
Process thousands of drawing sheets per month with enterprise-grade infrastructure built for production AI workloads.
Built for security, scale, and deployment in production engineering environments.
Our AI models are built entirely in-house, ensuring zero data leakage to third-party AI services.
Built with enterprise-grade security practices. Your sensitive engineering data is stored and protected with the highest standards.
Run BigMachine entirely within your own infrastructure - ideal for strict security, compliance, and data residency requirements.