Engineering Document
Intelligence Platform

Engineering document intelligence is AI technology that reads engineering documents, P&IDs, isometrics, datasheets, HAZOP registers, mill certificates, and converts them into structured, machine-readable data. Unlike OCR (which reads text) or EDMS (which stores files), document intelligence understands engineering context: tag relationships, process topology, safety classifications, and ISA 5.1 conventions.

Document management (EDMS) stores and retrieves files. Document intelligence reads those files and extracts structured data. An EDMS tells you which P&ID exists. Document intelligence tells you every tag, instrument loop, and safety classification on that P&ID, and delivers it into SAP PM.

99.5% field-level accuracy on safety-critical fields. This is a contractual SLA with a remedy clause. Generic vision models without engineering-document training typically achieve 60 to 75% on the same fields.

P&IDs, isometric drawings, instrument datasheets, HAZOP registers, mill certificates, C&E matrices, BOMs, FAIRs, inspection reports, weld maps, NDT records, equipment lists, and more, over 15 document types.

Generic AI tools (GPT-4 Vision, Azure Document Intelligence) achieve 60-75% accuracy on engineering documents because they lack training on ISA 5.1, ASME, and engineering conventions. Pathnovo achieves 99.5% because our models are purpose-built for engineering documents.

The SLA covers field-level accuracy on safety-critical fields (tags, heat numbers, pressure / temperature ratings, material grades, SIL classifications). Independent audit per deliverable with bounding-box evidence for every extracted field. If measured accuracy falls below 99.5% on a deliverable, the remedy clause applies: rework at no charge, credit refund, or service credit per the contract. Reference benchmark: McDermott engagement processed 10,247 tags across 600 P&IDs with zero QA rejections at handover.

Credit-based pricing with the full platform included on every paid tier (Starter at 1,000 credits/month, Professional at 5,000, Scale at 25,000+, Enterprise on 3-year contracts). Different document types consume different credit amounts: a complex P&ID is 20 credits, a HAZOP page is 2, a datasheet page is 5. A scoped paid pilot on the Starter tier (1,000 credits) validates accuracy on around 50 complex P&IDs or 200 datasheet pages before scale-up. See our pricing page for full plan details.

Data residency is configurable at tenant creation: AWS Riyadh, Azure UAE North, Azure India Central, AWS Mumbai, or your own VPC. Each tenant runs in an isolated workspace; no cross-customer model training and no retention beyond contract term. Air-gapped on-premises deployments available on Enterprise contracts for sanctions-sensitive operators and Indian PSU procurement subject to in-country data sovereignty obligations.