AI that understands engineering drawings.
Advancing multimodal AI that can reason over spatial engineering documents and automate drawing quality assurance.
Input
DWG / DXF
Method
Spatial reasoning
Output
Grounded findings
Engineering documentation, understood.
Upload a DWG or DXF drawing. Our AI analyzes geometry, annotations, symbols, and document structure to identify quality issues, explain findings, and answer documentation questions.
Verify the signals that are easy to miss.
The platform helps engineering teams catch the document-level quality issues that are hard to find manually and easy to lose in generic AI workflows.
01
Drawing completeness
02
Missing annotations
03
Documentation consistency
04
Metadata quality
05
Cross-reference integrity
06
Standards compliance
Not architectural design review
Not structural analysis
Not professional consulting
Just documentation QA — done properly.
Grounded engineering intelligence.
Every recommendation is grounded in retrieved engineering knowledge, not generated from model memory alone.
01
Spatial reasoning over CAD geometry
02
Fine-tuned engineering language models
03
Knowledge retrieval from standards and project documentation
04
AI agents capable of explaining every finding
Technical drawing comprehension is still early.
Comprehending symbolic spatial documents remains one of the least developed capabilities of modern AI. Drawing QA is our first production application — the long-term objective is foundation models for symbolic engineering documents. Progress depends on real engineering drawings and expert judgement, which is why we are opening this work to partners.
01
Reduce human QA effort and time
02
Accelerate cross-functional coordination
03
Catch expensive issues before construction
04
Systemize engineering review workflows
Build the model with us.
We are inviting a small group of engineering teams to partner on the research directly. The systems that understand engineering drawings will be built on real documents, real standards, and real review — not on synthetic data alone.
01
Contribute representative DWG / DXF drawing sets under NDA
02
Help define what "correct" means against your own standards
03
Review and validate model findings on your real documents
04
Shape the roadmap and get early access as capabilities ship
Partnerships start with a private drawing test, then a conversation about contributing data and co-evaluation.
Apply as a research partnerTest it first, then retrain and deploy it for your own standards.
We work with engineering organizations to evaluate private drawing sets, build custom reasoning workflows, and deploy fine-tuned mid-sized models on own infrastructure.
Start with a drawing testRun a private drawing review.
Upload a representative engineering document to see whether the system can inspect geometry, annotations, symbols, and document structure — then talk to us about an evaluation.
Upload drawings
DWG or DXF · multiple files · used for private evaluation only
Drop drawings here, or browse
DWG · DXF · multiple files
Register for a pilot discussion
We only use this to discuss QA evaluation & deployment
Submit at least one drawing first. The pilot registration unlocks once your uploads are received.
Uploaded drawings are used for private evaluation of the system and deployment fit. Production retention rules are finalized before any customer-controlled deployment.