Harness the engineering data trapped in drawings and documents to deliver projects faster and more predictably with AI-driven workflows.
A purpose-built system for reading drawings and capturing engineering intent.
BigMachine reads engineering drawings the way engineers do — recognizing symbols, tags, and connectivity in context. Drawings are treated as sources of engineering meaning, not just images or text.
As drawings are read, BigMachine applies engineering semantics to interpret what the drawing means: what equipment exists, how systems connect, and how specifications apply.
The interpreted engineering intent is saved as a spatially aware, purpose-built engineering data model. This model persists across revisions and becomes the system of record for downstream workflows.
Understand what changed between drawing revisions in minutes, not weeks. Automated changelogs eliminate interpretation risk across disciplines and provide immediate visibility into modifications that impact downstream work.
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Generate complete tag lists and line lists from P&IDs in minutes. Extract every piece of equipment, instrument, and line with full attribute data, eliminating manual data entry and ensuring nothing is missed.
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Accelerate bid preparation with automated equipment counts and cost allocation. Allocate costs and engineering hours across equipment automatically, enabling faster bid turnaround and increased project throughput.
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Coming soon: Automated quality control for engineering drawings. Our AI will identify inconsistencies, missing information, and potential errors in drawings before they impact your project timeline, reducing rework and ensuring drawing quality standards are met consistently.
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Coming soon: Streamline the review process with AI-powered comment analysis. Automatically categorize, prioritize, and track comments across drawing revisions to accelerate approval cycles and ensure nothing falls through the cracks.
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BigMachine's multi-stage system utilizes both computer vision and engineering domain models for unmatched accuracy and reliability.
Our models first break down drawings visually, capturing regions, symbols, text, and connections while preserving spatial relationships and engineering context.
We interpret each element in engineering context—understanding how equipment connects, how fluids flow, how systems are controlled, and how safety is enforced.
The structured engineering graph captures all relationships, constraints, and dependencies. This living model enables reasoning over engineering decisions, not just data extraction.
Everything you need to extract, structure, and automate workflows from your engineering drawings - validated across thousands of drawing sheets 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.
From security to scale, BigMachine is built for the demands of production engineering environments.
Our AI models are built entirely in-house, ensuring zero data leakage to third-party AI services. Your engineering drawings stay within your organization.
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.