Top 1% on Upwork
AI-Led Document Intelligence
Services as Software
We exist because the physical world cannot run on data it cannot read. Pathnovo was founded by engineers who watched industrial companies try to extract value from their technical documents and watched every generic AI tool fail the accuracy bar that physical operations require.
MissionMake engineering knowledge machine-readable so the physical world can run on verified data.
VisionEvery engineering document, P&ID, FMEA, datasheet, drawing, becomes structured, queryable, and actionable the day it is issued.
PurposePrevent the errors that happen when the same drawing is read by five teams and nobody checks if they agree.
Not
We do not build marketing bots, CRM agents, or web apps. Every person at Pathnovo works on engineering document intelligence.
Not
We do not sell a tool you operate alone. We are a managed service. You send documents. We deliver verified data in your system.
Is
We sign a contractual accuracy guarantee on safety-critical engineering data. We deliver the outcome, not the effort.
IIT-trained engineers with experience across AI at scale, enterprise software, and the engineering disciplines we serve.
Co-Founder & CEO
IIT BHU • Top 1% on Upwork • $1.5M USD ARR
IIT BHU graduate. Started Pathnovo from a hostel room in 2023 with a $16 Upwork project and grew it to a document intelligence company serving EPC contractors and manufacturing teams. Leads product strategy, business development, and client relationships. Drives the vision of making engineering knowledge machine-readable for the physical world.
Co-Founder & CTO
IIT BHU • 35+ end-to-end projects delivered • AI & Systems Architecture
IIT BHU graduate. Leads the technical architecture behind Pathnovo's extraction pipelines, reconciliation engines, and AI agent framework. Has delivered 35+ end-to-end projects across document intelligence, enterprise integrations, and AI systems. Built the connector layer that delivers verified data into SAP PM, Maximo, and AVEVA.
12,000+
P&IDs Processed
180,000+
Mill Certificates Handled
99.5%
Accuracy SLA
48 Hours
Delivery Turnaround
Reference benchmark: 10,247 tags extracted across 600 P&IDs for McDermott with zero QA rejections at handover. Active engagements with GCKC and Zetwerk on MR package and BOM assembly workflows.
Pathnovo's extraction engine is built on published engineering standards, not generic OCR or frontier LLMs. We align with the data models your engineering teams already use.
Native training on Instrumentation Society of America standards for P&ID symbology (5.1) and instrument loop diagrams (5.4). Every tag, line, and instrument is classified per the standard, not inferred by a general-purpose vision model.
Process piping (B31.3), power piping (B31.1), and welding procedure / welder qualification (Section IX) encoded into the extraction ontology. Output is code-compliant on first delivery.
Data Exchange in the Process Industry (DEXPI) XML standard and ISO 15926 industrial data integration both supported as output formats. Direct interoperability with AVEVA AIM, Cognite Data Fusion, Bentley iTwin, and enterprise digital twin platforms.
Capital Facilities Information Handover Standard 2.0 output native. Object classes, attributes, and relationships match the CFIHOS data model used by major EPCs and owner-operators for project handover.
IBR 1950 (Indian Boiler Regulations), OISD 118 (HAZOP and inter-distance), PESO / Petroleum Rules 2002, CCOE / Explosives Act 1884 encoded as first-class compliance workflows; no general compliance platform does this.
FMEA methodology aligned to AIAG 4th edition and harmonised AIAG-VDA 5th edition. Severity, occurrence, and detection ratings mapped per standard scales for automotive and industrial FMEA workflows.
Six reasons engineering teams at EPC contractors, refineries, and process plants consolidate their document intelligence workflow onto Pathnovo.
Hexagon Smart Materials and AVEVA ERM extract MTO only from 3D models. For brownfield plants and Indian / Gulf mid-EPC projects, isometrics live in PDF. Pathnovo is the only managed service solving this workflow: blue ocean.
Indian process plants are subject to four concurrent regulatory regimes. No other software encodes all four; Indian EHS consultancies deliver the equivalent manually at $120,000-600,000 per operator per year. Pathnovo automates the stack.
Not a marketing claim. Every engagement signs a field-level accuracy SLA with remedy terms. The McDermott benchmark (10,247 tags across 600 P&IDs with zero QA rejections) is how we test before we ship.
Hexagon and AVEVA enterprise implementations run 5–18 months. Cognite Data Fusion deployments run 12–24 months. Pathnovo delivers first structured output within 48 hours of engagement start, with no implementation consulting, no platform license, and no multi-year commitment.
P&IDs, isometrics, datasheets, HAZOP studies, mill certificates, material data reports, C&E matrices, equipment lists, line lists, valve lists, I/O lists, O&M manuals, compliance registers. One extraction engine, full EPC lifecycle coverage.
Transparent credit-based pricing. Starter from ₹40,000/$1,200 per month for 1,000 credits, full platform included on every paid tier. Free 14-day trial with 100 credits. Indian PSU rate-card compatibility. Data residency configurable in AWS Riyadh, Azure UAE North, Azure India Central. Built for the $50M–$500M project segment global platforms cannot commercially serve.
2023
Started in a hostel room at IIT BHU. First client was a $16 Upwork gig. Built a reputation for shipping fast and shipping right.
April 2024
Officially registered Pathnovo Solutions Private Limited. Began delivering AI-driven projects for clients across industries. Reached Top 1% on Upwork.
2025
Onboarded first enterprise EPC client. Delivered the largest document intelligence project to date: 12,000 P&IDs, 47,000 tags, zero QA rejections.
2026
Repositioned as a document intelligence company for manufacturing and heavy-asset energy. Built the extraction pipeline, reconciliation engine, and AI agent framework that now powers all client work.
Five senior engineers who have spent decades inside the disciplines Pathnovo serves. They review our models, validate our accuracy standards, and ensure we understand what a wrong value costs.
EPC Engineering & Project Management Advisor
26+ years in offshore and onshore oil & gas EPC projects. Chartered Engineer (MIChemE). Former engineering lead at Sapura Energy and Shell-certified HAZOP facilitator. IIT Kanpur, MTech.
EPC Document Control & Information Management Advisor
18+ years in engineering information management across Shell, McDermott, and MODEC. Built IM strategies for billion-dollar offshore capital projects. Specialist in AVEVA, CFIHOS, and EDW deployment.
Hydrocarbon Industry & Mega Project Strategy Advisor
37+ years at Engineers India Limited (EIL), rising to Chairman & Managing Director. Led the Dangote Refinery & Petrochemical Project as CEO. IIT Roorkee graduate. Author of multiple technical books on project implementation.
Automotive Quality & FMEA Advisor
15+ years in automotive quality engineering under IATF 16949 and AIAG standards. Deep expertise in FMEA methodology, control plan development, and engineering change impact analysis.
Power Protection & Relay Coordination Advisor
22+ years in power protection engineering and relay setting coordination across utilities and industrial plants. Expertise in multi-manufacturer relay formats and protection zone validation.
Send us 10 documents from your current project. We extract, reconcile, and show you exactly what we find in 48 hours, before any contract.
If the accuracy isn't what we promised, you owe us nothing.
Connect with Pathnovo to discuss your engineering document intelligence needs.
Email: hello@pathnovo.com
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You can also stay connected through our official social media channels.
Our Offices
Bangalore Office
Unit 101, OXFORD TOWERS 139, Old HAL Airport Rd, Kodihalli, Bengaluru, Karnataka 560008
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 credit-based pricing and the full platform is included at every paid tier. Starter is ₹40,000/$1,200 per month for 1,000 credits (~50 P&IDs of processing), Professional is ₹1,75,000/$5,500 for 5,000 credits (~250 P&IDs), Scale starts at ₹6,50,000/$20,000 for 25,000 credits (~1,250 P&IDs). Each document type consumes a fixed number of credits: complex P&ID = 20, isometric = 8, datasheet page = 5, spec page = 2. There are no setup fees, no per-seat licence, and no platform license. Annual contracts get 25% more credits at the same monthly price. Every engagement begins with a free 14-day trial of 100 credits, no credit card required. Multi-asset operators (NOCs, IOCs, large global EPCs) move to Enterprise with custom pricing, typical engagements ₹2.5 cr–₹15 cr+ / $750K–$5M+ per year on 3-year contracts. Full pricing details on /pricing.
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.