Engineering Data Extraction & Structuring
Turn engineering documents into trusted, usable data, delivered AVA-ready or structured for your systems.
Envizion delivers governed engineering and inspection data extracted from complex document sets and structured into system-ready data sets for digital twins, RBI workflows, and enterprise asset management environments. We convert static, fragmented information locked in documents into trusted, structured data that can be reused across operations, integrity, and decision-making, without repeated re-validation.
Built for: Asset owners/operators, integrity & inspection teams, RBI/APM leads, engineering data owners, and digital transformation teams who need data that is defensible, traceable, and import-ready.
What we deliver
We extract and structure engineering and inspection data from sources including:
- P&IDs and engineering drawings
- Inspection reports and registers
- Specifications, data sheets, and legacy spreadsheets
Typical structured outputs
- Tag-linked inspection and integrity data sets
- TML / CML attributes
- Tmin values and corrosion rates
- Inspection history and condition data
- Intelligent P&ID-aligned registers
Delivered AVA-ready - or in the structured format of your choice
Outputs are delivered AVA-ready by default, or aligned to your required schema for APM/RBI/EAM/CMMS or internal data models. Data is supplied in an agreed structured format with QA status and source traceability to enable fast import and operational use.
Delivered AVA-ready - or in the structured format of your choice
Structured dataset (data base tables and/or agreed export formats)
Excel import pack aligned to your register templates
JSON exports for coordinated relationships and linking
Data dictionary and field definitions
Validation rules and exception log
Source traceability (document reference + location)
QA status and auditable history
More than extraction, built for trust & reuse
The challenge isn’t simply pulling data from documents. It’s ensuring the data:
- is correct
- makes engineering sense
- can be trusted in operational decisions
- can be reused without repeated re-validation
We combine technology-led extraction with discipline expertise so delivery is fast, consistent, and defensible.
Our delivery approach
Document familiarisation & rule definition
We identify where required data resides and define how it maps to your registers, data model, and target systems.
Streamlined, multi-stage QA (built for scale)
- Supplier-level verification
- Senior engineering / inspection QA
- Validation against client rules and integrity requirements
- Exception handling for conflicts and anomalies
.png)
Software & AI-assisted extraction
We apply rule-driven extraction across large document sets to drive consistency, speed, and scale.
Structured, system-ready outputs
Delivered as structured data sets aligned to intelligent P&IDs, digital twin platforms, and APM/RBI systems, ready for import, not just export.
Example use case
CML / TML registers delivered end-to-end
For CML programmes, we manage the full document set needed to build and maintain a complete register, extracting required fields across multiple sources (inspection reports, thickness readings, historic PDFs, spreadsheets, and client records), then aligning everything to the agreed structure (AVA-ready or your target schema).
A streamlined QA workflow is applied throughout so each record is consistent, traceable to source, and fit for integrity decision-making, enabling reliable delivery at scale without repeated re-validation.
Result: Targeted integrity effort instead of blanket spray-and-pray. Scaling across gas facilities.
P&ID extraction to build intelligent, linked registers
We extract structured data from large P&ID sets, including line numbers, equipment tags, instrument tags, drawing numbers and revisions, and continuations / off-page references, even where source files vary in quality (scanned PDFs, mixed standards, legacy mark-ups, inconsistent symbology).
Each extracted record is normalised to an agreed naming and validation rule set, then aligned to the required target structure so it can be reliably loaded into downstream systems.
Result: Faster reporting, cleaner turnover record with a trail operations will accept.
Delivered outputs
(import-ready):
This enables intelligent linking in platforms such as AVA, where P&ID-derived registers can be connected to line lists, 3D models, documents, and other enterprise datasets, creating a governed, traceable foundation for digital twin navigation and integrity workflows.
Excel import pack
(validated tables aligned to your line list / equipment register templates)
JSON export
To support systems that require coordinated linking and relationships
Proven at scale
Recent delivery includes:
- ~24,000 structured data points
- Hundreds of P&IDs
- Full classification, QA, and validation
- Data structured and uploaded into a digital twin platform
- Delivery completed in weeks, not months, using parallelised extraction and QA workflows
Enterprise-ready for APM & RBI
We support programmes where extracted data must be:
- structured to enterprise APM data models
- fully traceable back to source documents
- auditable for integrity and inspection use
- consistent across large asset populations
.png)
Why Envizion
- ✔ Scalable extraction capability
- ✔ Parallelised QA workflows
- ✔ Senior discipline experience (inspection, integrity, RBI)
This ensures data that stands up to audit, supports integrity decision-making, remains consistent at volume, and can be trusted in operations.
.png)
What this enables next
Structured, trusted data becomes the foundation for:
- Intelligent P&IDs
- Digital twins
- RBI optimisation
- AI-assisted integrity and inspection workflows