Extract Engineering Data for
Digital Twins

A digital twin requires structured asset data: equipment tags, instrument loops, line numbers, pipe specifications, material grades, design parameters, inspection records, maintenance procedures, and the functional relationships between them (parent-child hierarchy, loop membership, system membership, unit affiliation). This data lives in P&IDs, datasheets, isometrics, equipment lists, HAZOP studies, inspection reports, and operating manuals, but is locked in unstructured PDFs and legacy drawings. Pathnovo extracts it into structured, machine-readable format compatible with CFIHOS and ISO 15926 data models.

Yes. Pathnovo processes scanned paper P&IDs, legacy CAD files (DWG, DXF, microstation), and PDFs from any era. Typical Indian refinery projects encounter drawings from the 1970s through today. Pathnovo reads them all with 99.5% contractual accuracy, creating the complete asset data layer your digital twin needs. Brownfield digitisation is our largest engagement category; typical delivery is 6–12 weeks for a full facility data layer.

Pre-certified integrations with AVEVA NET / AIM, Bentley iTwin, Hexagon HxGN SDx, Siemens COMOS, Cognite Data Fusion, SAP PM / S/4HANA, IBM Maximo, and custom digital twin platforms. Data is delivered in JSON, Excel, CFIHOS-compliant format, ISO 15926 format, or via direct API integration. No ecosystem lock-in: the same extraction engine outputs to any downstream platform.

Cognite Data Fusion is a contextualisation and DataOps platform that links existing structured tags to asset hierarchies and builds a knowledge graph over OT/IT data. Pathnovo is upstream of Cognite: we extract structured tags and asset data from scanned and PDF drawings in the first place. At Cognite-scale clients (owner-operators with multi-year programmes), Pathnovo feeds Cognite. At mid-EPC scale, Pathnovo replaces Cognite with lighter-weight extraction and direct SAP / Maximo handover. See /alternatives/cognite-data-fusion for the full comparison.

IPS iWorkflow converts P&IDs into SmartPlant / AVEVA format with CFIHOS-compliant data structuring; strong on P&ID conversion specifically. Pathnovo extracts from 15+ document types (not just P&IDs), outputs to any format (not just SmartPlant / AVEVA), and carries a contractual 99.5% accuracy SLA. If your digital twin needs data from datasheets, HAZOP registers, isometrics, and mill certificates alongside P&IDs, Pathnovo provides the broader document scope.

CFIHOS (Capital Facilities Information Handover Specification) is the industrial data standard developed by USPI and IOGP for capital-project handover between EPCs and owner-operators. It defines object classes, attributes, and relationships for engineering data: the exact structure most modern digital twins expect. Pathnovo's extraction output is CFIHOS-aligned natively, so the data slots into AVEVA AIM, Cognite, and enterprise digital twins without a middle translation layer.

Yes; this is the most common request from Indian PSU refineries and Gulf owner-operators. Decades of paper drawings sit in plant archive rooms as the only authoritative record of current plant state. Pathnovo digitises and structures them, cross-validates against any available maintenance records or 3D scans, and produces the digital-twin data layer. Subsequent operational data (historian, inspection, MoC) layers on top. The twin is as good as the data layer; the data layer starts with extraction from paper.

During EPC, Pathnovo runs in parallel with the engineering deliverable workflow: instrument index, line list, equipment list, isometric MTO, compliance registers are all extracted and maintained continuously. On Day 1 of commissioning, the complete CFIHOS-compliant data layer is ready for handover to the owner-operator's digital twin platform. No 6-month post-handover reconciliation. No paper-to-digital rework. See /solutions/engineering-handover for the full handover workflow.

Pathnovo's focus is document-to-structured-data extraction: engineering deliverables, compliance registers, handover packages, maintenance manuals, inspection records. Operational time-series data (sensor readings, historian data) and real-time OT feeds are not our primary scope; Cognite, AVEVA PI, OSIsoft, and similar platforms handle that layer. Pathnovo is the engineering and documentation data layer; operational DataOps platforms sit alongside us.

Project-based. Typical brownfield facility digitisation runs Rs.25 lakh to Rs.2 crore depending on drawing count, complexity, and target digital twin platform. EPC new-build data-layer delivery is priced per engineering deliverable (instrument index, line list, etc.) with the twin-ready data output included at no incremental charge. Indian PSU rate-card compatibility available.