AI agents that actually understand
engineering documents.

Generic vision models like GPT-4 Vision were not trained on ISA 5.1 symbol conventions, ASME codes, or the topology of a process flow diagram. They extract text but miss the meaning — confusing a control valve with a block valve, misreading SIL classifications, or ignoring line continuations across sheet boundaries. In benchmarks on real EPC drawings, generic models achieve 60-75% field-level accuracy on safety-critical fields. Pathnovo achieves 99.5%. The difference comes from three layers: purpose-built extraction models trained on over 200,000 engineering drawings, domain-certified engineers (ISA 5.1, API 510/570, IEC 61511) who review every safety-critical field, and automated cross-document reconciliation that catches conflicts between P&IDs, instrument indexes, and datasheets before delivery. We sign a contractual 99.5% accuracy SLA with a defined remedy clause. No generic AI API provider offers that commitment.

Pathnovo handles over 15 engineering document types: P&IDs (piping and instrumentation diagrams), FMEAs (failure mode and effects analysis), inspection reports, NDT records, cause-and-effect matrices, relay setting sheets, mill certificates, weld maps, FAIRs (first article inspection reports), HAZOP registers, turnaround work packs, BOMs (bills of materials), datasheets, isometric drawings, and equipment lists. For each document type, we extract structured fields specific to that format — for example, from P&IDs we extract tag numbers, line numbers, equipment specifications, instrument loops, and control valve data. From FMEAs we extract failure modes, severity ratings, RPN scores, and recommended actions. Our models are trained on documents from major EPC firms, NOCs, and manufacturing plants across six industries. If the document requires a trained engineer to read correctly and a wrong extraction has real operational consequences, we handle it.

Pathnovo has pre-certified connectors for nine enterprise asset management and engineering data systems: SAP PM S/4HANA, IBM Maximo, Oracle EAM, AVEVA NET, Hexagon SmartPlant Foundation, Siemens Teamcenter, PTC Windchill, Bentley AssetWise, and ISO 15926 XML endpoints. Each connector maps extracted fields directly to the target system's native data model — for example, SAP PM functional locations, equipment masters, and maintenance task lists receive structured tag data without manual re-entry. For IBM Maximo, we populate asset hierarchies, work orders, and condition monitoring fields. Integration typically takes two to four weeks from pilot completion to production data flow. We handle authentication, field mapping, validation rules, and error handling. If your system is not on this list, we build custom connectors using REST APIs, OData, or flat-file exchange formats. You receive verified, structured data in your system — not a spreadsheet to re-key.

Pathnovo uses outcome-based pricing: you pay per drawing processed, per tag certified, or per milestone delivered — not by the hour or by the seat. A standard engineering drawing costs between $80 and $300, depending on complexity and document type. Simple equipment lists and BOMs fall at the lower end. Complex P&IDs with 200+ instruments, multi-sheet C&E matrices, and HAZOP registers with cross-references fall at the higher end. Monthly retainers start from $10,000 for active projects requiring continuous extraction and reconciliation. Enterprise contracts with 5,000+ drawings include volume discounts of 15-30%. Every engagement begins with a free 10-document pilot so you can evaluate accuracy and output quality before committing. There are no setup fees, no platform licensing costs, and no minimum contract duration. You pay for verified, structured data delivered into your enterprise system.

Yes. Pathnovo operates Gulf-compliant infrastructure on AWS Riyadh (Middle East region me-south-1) and Azure UAE North. We are compliant with Saudi PDPL (Personal Data Protection Law), UAE CBUAE Circular 14 data localisation requirements, and Qatar QCB data governance standards. All technical document data — including P&IDs, FMEAs, and extracted structured outputs — is processed and stored within your country of operation. No data leaves the region at any stage of the pipeline. We support IKTVA (In-Kingdom Total Value Add) documentation for Saudi Aramco vendor qualification, ICV (In-Country Value) certification for ADNOC, and QatarEnergy supplier frameworks. Our Gulf deployments include air-gapped processing options for classified or ITAR-adjacent documents. We are currently the only engineering document intelligence provider offering fully localised infrastructure across Saudi Arabia, UAE, and Qatar.