AI-ready engineering data
Documents are not treated as files to OCR. They become structured tags, parts, attributes, relationships and provenance that industrial systems can trust.
Deep industrial AI platform | P&ID value chain
Turn legacy P&IDs into CAD-ready industrial data.
Axiovia is built on proprietary Vision and Language Intelligence, converting symbols, tags, lines and equipment into governed data for CAD, CMMS, ERP and digital twins.
Any sourceTIFF, JPG, scanned PDF, vector PDF, DWG, DXF and tag lists
AI extractionSymbols, lines, tags, instruments, equipment and connectivity
Standards linkedMapped to owner standards and engineering rules before handoff
CAD-ready outputDEXPI XML, CSV, Excel and JSON for partner delivery
Twin-ready dataRegisters and neutral exports ready for asset platforms
Partner scaleAI handles extraction while specialists complete CAD QA/QC
AXIOVIA VALUE MAPInput formats to CAD-ready handoff
Input P&ID formatsTIFF / JPG scansScanned PDFVector PDFDWG / DXFTag list CSVExcel registers
OCR + vectorizemixed formats become readable
AI extractionsymbols, tags, lines, equipment
Data mapping + standards link
CAD-ready outputs
DEXPIIntelligent P&ID XMLOpen exchange format
CSVLine, valve and tag listsValidation and import layer
JSONTwin and asset dataCloud-ready handoff
CADSPPID, AVEVA, AutoCADPartner QA/QC delivery
IngestMixed scans, PDFs, CAD and tag lists
ExtractAI symbol, line and tag recognition
MapStandards, attributes and data relationships
HandoffCAD-ready neutral data for QA/QC
Business impact
Value is created where manual P&ID migration breaks down.
Any formatRaster scans, vector PDFs, DWG/DXF and tag lists enter the same ingestion flow
Auto extractionSymbols, tags, lines, equipment and instruments become structured data
Neutral handoffDEXPI XML, CSV, Excel and JSON keep the platform CAD-independent
Partner scaleService partners complete destination CAD build, validation and QA/QC
Built for the commercial reality of CAD migration.
Plant owners need faster digitization, service partners need better project economics, and Axiovia captures platform value through AI extraction, neutral handoff and partner-driven delivery scale.
Knowledge graph before agents
Axiovia builds context first, then applies supervised agents across RFQ, reconciliation, register generation, migration and handover workflows.
Governed execution
Every automation path carries source grounding, confidence, exception routing and human review so outputs can move into production systems.
Interoperable by design
The platform is built to connect with engineering, procurement, asset, CMMS and digital-twin environments rather than becoming another data silo.
What we do
Remove the bottleneck between scanned P&IDs and intelligent engineering systems.
Axiovia does not need to own every destination CAD system. The platform recognizes, extracts and structures the engineering data, then hands off clean neutral files for partner-led CAD build, validation and QA/QC.
Ingest TIFF, JPG, scanned PDF, vector PDF, DWG, DXF and tag-list inputs
Recognize symbols, tags, lines and equipment with source trace and standards mapping
Deliver DEXPI XML, CSV, Excel and JSON for CAD, CMMS, ERP and twin workflows
Axiovia industrial AI platform
Two proprietary intelligence engines built around the P&ID value chain.
Vision Intelligence reads symbols, topology and drawing structure. Language Intelligence maps tags, standards and attributes. Together they produce CAD-ready, audit-ready industrial data.
VISION INTELLIGENCE
Read the visual grammar of engineering.
Detects layouts, tables, symbols, connected lines, stamps and annotations across P&IDs, schematics, scans and multi-discipline records.
- Page segmentation and visual hierarchy
- Symbol, topology and schematic recognition
- Format-robust data extraction
LANGUAGE INTELLIGENCE
Map the meaning into systems.
Maps terms, units, tags, part numbers and clauses to standards, then checks each value against domain rules.
- Semantic and standards mapping
- Engineering rule validation
- Datasheet comparison and trade reconciliation
01Ingest mixed formats
02Recognize symbols and tags
03Map to standards
04Export neutral data
05Enable partner QA/QC
Designed as a neutral extraction layer, not another CAD silo.
Every extracted value carries provenance, confidence, validation state and a target handoff format before it enters SPPID, AVEVA, AutoCAD, asset systems or twin platforms.
Source traceConfidence scoreDomain ruleHuman reviewSystem sync
Use case portfolio
One extraction engine, multiple value paths from the same source drawings.
The same recognized P&ID and datasheet data can support CAD migration, tag indexes, MTO, equipment master data, line lists, twin population and governed QA workflows.
01
Core P&ID digitization
Convert PDF and scanned P&IDs into intelligent CAD-ready data using AI symbol, line and tag recognition.
- Raster and vector PDF
- DWG and DXF
- Symbol extraction
- Line connectivity
02
Tag and instrument extraction
Generate structured instrument indexes with IDs, types, service context, specifications and export-ready records.
- Instrument index
- Tag extraction
- CSV export
- JSON export
03
Equipment datasheet digitization
Parse OEM datasheets into structured ratings, materials, dimensions, performance curves and master-data attributes.
- OEM records
- Ratings
- Materials
- CMMS and ERP data
04
MTO and register generation
Extract material takeoff, valve quantities, pipe lists, equipment lists and line registers for procurement and asset workflows.
- Material takeoff
- Valve counts
- Line lists
- Equipment registers
05
Digital twin data population
Feed twin and asset platforms directly through neutral-format exports, avoiding long waits for complete native CAD migration.
- DEXPI XML
- JSON export
- Asset backbone
- Twin handover
06
Safety and as-built intelligence
Extend extraction into safety-critical tags, relief paths, discrepancy checks and destination CAD build workflows with expert sign-off.
- Safety tagging
- As-built checks
- CAD QA/QC
- Partner validation
DEXPI XMLOpen intelligent P&ID exchange for modern engineering platforms
Excel / CSVValidation-ready line, valve, equipment and instrument lists
JSONStructured data for cloud twins, asset systems and digital workflows
DIFFERENTIATIONNot a drawing-conversion catalogue
Axiovia begins with drawing and document intelligence, but the product architecture climbs into structured data, system connectors and controlled industrial agents.
DIFFERENTIATIONData moat first, agents second
The agent layer is valuable because it is fed by engineering data that generic platforms and operations tools cannot reliably read from the trapped backlog.
DIFFERENTIATIONFeeds operations instead of chasing every operations category
Axiovia does not compete head-on in worker safety, generic quality vision or predictive maintenance. It supplies the live engineering-data backbone those systems need.
Axiovia product modules
Differentiated modules for extraction, handoff and partner delivery.
The product suite keeps Axiovia distinct: the platform owns recognition, mapping and neutral output quality while partners complete destination-specific CAD build and sign-off.
Converts scanned and vector P&IDs into recognized symbols, tags, lines, equipment and connectivity.
Exports structured tag and instrument data for CMMS, ERP, engineering and twin workflows.
Extracts OEM equipment attributes, materials, dimensions, ratings and performance data.
Creates valve, pipe, fitting and equipment quantities for procurement and project controls.
Publishes neutral structured data for digital twin and asset-management platforms.
Coordinates partner validation, destination CAD build and engineering sign-off.
Product system
From core P&ID digitization to CAD-ready data infrastructure.
The roadmap direction is architectural: extract from mixed sources, build trusted registers, publish neutral formats, and support partner workflows that scale across destination CAD environments.
Engineering-data extraction
Bundle MTO, datasheet extraction, drawing conversion and review workflows into repeatable modules that deepen the proprietary industrial corpus.
Corpus quality and data accuracyRegisters, migration and procurement
Standardize master tag registers, document registers, migration outputs, RFQ creation and PO-to-quote checks so each deployment becomes faster and more product-like.
Reusable delivery architectureSystem integration and asset continuity
Synchronize approved data with engineering, procurement, maintenance and twin environments while keeping live asset records current.
Data backbone and integrationsControlled agents and generative engineering
Use the validated knowledge backbone to supervise doc-to-ops agents, reasoning workflows and generative engineering research without losing human governance.
Governed autonomyArchitecture stack
Each layer reduces manual redraw, re-keying and late-stage CAD correction.
0
Unstructured ingestion
PDF, DWG, DOCX, XLSX, images and email become machine-readable industrial source material.
1
Extraction engines
Vision Intelligence and Language Intelligence read structure, symbols, tables, tags and engineering context.
2
Knowledge backbone
Tags, parts, equipment, documents, attributes and relationships become a governed industrial knowledge graph.
3
Structured deliverables
MTOs, mapped datasheets, tag registers, line lists and trade datasets move into governed review.
4
Workflow and system integration
Agents, APIs and connectors synchronize approved data with AVEVA, Bentley, SAP MM, Maximo and asset systems.
5
Generative engineering R&D
The accumulated corpus supports higher-order work such as document reasoning, generated engineering drafts and layout optimization.
INDUSTRIAL SCOPEFrom plants and mines to utilities and fleets.
Industries
Prioritized by scanned-drawing volume, compliance pressure and migration economics.
The lead wedge is highest where scanned P&ID archives block CAD migration, twin readiness, CMMS population and maintenance workflows at scale.
Tier 1 lead
Oil and gas
Highest scanned-P&ID volume across refineries, offshore assets, pipelines and MRO programs.
Tier 1 lead
Chemical and petrochemical
Multi-thousand-drawing migration programs where manual redraw is economically unworkable.
Tier 1 lead
Power and utilities
Aging fleets, substations and regulated infrastructure with scattered OEM datasheet records.
Tier 2 expand
Pharmaceutical and manufacturing
Compliance-heavy operations where traceable equipment data matters before native CAD migration.
Tier 3 emerging
Water and environmental
Budget-sensitive infrastructure where AI compresses the cost of digitizing paper-only archives.
Tier 3 emerging
Mining and minerals
Remote processing sites and thin engineering teams needing MTO and equipment-data extraction.
Common integration layerEngineering records, procurement data, maintenance systems and twin handover remain connected by the same governed data backbone.
Deployment evidence
Prove extraction quality, then scale through partner delivery.
Every deployment should make the neutral output cleaner, the partner QA/QC effort lower, and the commercial case for recurring platform revenue stronger.
01
AI-owned value point
Automated symbol, line and tag recognition is the primary value creation point in the migration chain.
02
Neutral handoff
DEXPI XML, CSV, Excel and JSON allow review and correction before data enters destination CAD systems.
03
Partner economics
Service partners use the same team to bid more scope, reduce manual effort and capture higher margins.
Value-chain pipelineFrom mixed input formats to partner QA/QC delivery
01Ingest mixed P&ID formats
02Recognize symbols, tags and lines
03Map to standards and attributes
04Generate neutral CAD-ready data
05Route partner QA/QC and sign-off
DEPLOYMENT RESULT
P&ID migration economics
The cleaner Axiovia's neutral-format output, the less partner effort is required for the final destination CAD step.
AI + QAscalable delivery model
From one-time conversion to reusable industrial intelligence products.
Axiovia connects VisionGraph, DocGraph, AssetGraph and FlowGraph outputs with BoMs, RFQs, tag registers, migration deliverables, connectors and live asset records. Authorized clients manage those outputs in the secure portal.
Open client portalSource stateUnstructured
Target stateConnected
VisionGraph
DocGraph
AssetGraph
FlowGraph
Leadership and expertise
Leadership built for industrial AI delivery.
A cross-functional team combining industrial transformation, AI product engineering, enterprise commercialization and specialist P&ID delivery.
Strategic advisory and industrial transformation
Manoj Singh
Advisor and DirectorAdvises Axiovia on company strategy, industrial partnerships and commercialization across energy, water and asset-intensive markets. View LinkedIn profile
Applied AI and product engineering
Saurabh Raina
CTOLeads product and technology strategy across computer vision, language intelligence and governed industrial AI workflows. View LinkedIn profile
Enterprise sales and market development
Rengan Jayakrishnan
Chief Business OfficerLeads enterprise growth and market development, drawing on more than 30 years in global software and solution sales. View LinkedIn profileTeam members
The engineers building Axiovia.
Our engineering team turns complex industrial documents and workflows into reliable, intuitive software.
Backend systems and document intelligence
Dhruv Mittal
Backend LeadBuilds the backend systems that turn complex engineering documents into structured data, drawing on nearly eight years across startups and chip design.
Full-stack engineering and 3D interfaces
Nithish
Software EngineerBuilds user-focused products across frontend, backend and databases, bringing nearly three years of full-stack experience and a particular flair for interactive 3D interfaces.Technical advisor
Domain expertise where engineering accuracy matters.
Specialist guidance strengthens technical validation, destination-system delivery and engineering-data quality.
P&ID digitization, CAD migration and industrial delivery
Kailash Gaekwad
Technical Advisor and Subject Matter ExpertProvides domain guidance for P&ID digitization, destination CAD workflows, technical validation and engineering-data quality. View LinkedIn profileStart with the backlog that can become a platform asset.
Show us the drawings, datasheets, email trails, decisions and systems involved. We will define a focused proof that measures data quality, cycle time and repeatability.
01
Map the corpusIdentify source documents, formats, counterparties, decisions and target systems.
02
Define the proofAgree on data quality, validation, connector and cycle-time measures.
03
Climb the stackConvert the proof into a repeatable workflow, connector or live data product.