Engineering lists and registers, delivered in minutes.
Turn P&IDs, datasheets, and vendor files into tag registers, line lists, equipment lists, and MTOs — structured, source-linked, and ready for client delivery.
AI P&ID Extraction · AI Line List Extraction · AI Tag List Extraction · AI Instrument List Extraction
The extraction work teams still spend too much time delivering
Novek is built around the engineering outputs clients keep asking for: tag registers, line lists, equipment lists, MTOs, datasheet extraction, and cross-document validation.
Tag registers still get built by hand
Every tag number means cross-referencing P&IDs, datasheets, and vendor lists manually. One clean register takes hours — and goes stale the moment a document revision comes in.
Vendor files never arrive in one usable format
Vendor packages arrive as scanned PDFs, inconsistent Excel templates, and half-filled datasheets. Before extraction can start, someone has to normalize the inputs — manually.
Line lists, equipment lists, and MTOs take too long
A single line list across 100 P&IDs is weeks of engineering time. That work is billable, but it shouldn't be. It's high-skill time spent on a low-skill task.
QA catches problems late
A tag number that doesn't match between the P&ID and the datasheet only surfaces during client review — after the line list was already submitted. Rework hurts margin and timeline.
to produce structured outputs that normally take days of manual effort
spent by engineers on repetitive extraction and spreadsheet cleanup
per deliverable through faster turnaround and less QA rework
How Novek fits into an EPC workflow
This is how EPC teams and engineering consultants deliver technically complex outputs faster, with less repetitive effort and better consistency.
Load the source package
Bring in P&IDs, datasheets, vendor files, and supporting documents without converting them into a new format first. Our system automatically processes drawings, lists, and specs.
Extract the engineering data
Novek pulls tags, line numbers, equipment details, bill items, and datasheet attributes directly from the package and keeps every field source-linked.
Review against source documents
Every extracted field stays linked to the exact location in the source P&ID or datasheet. Engineers click any row to verify it against the original drawing — no manual cross-referencing.
Flag issues before QA gets expensive
Conflicts between P&IDs, datasheets, and vendor files are flagged early so teams can fix them before delivery and client review. Surfaces mismatches in sizes, materials, and tags.
Ship clean deliverables
Export structured outputs your team can send to clients faster, with better consistency, lower manual effort, and clear traceability.
Load the source package
Bring in P&IDs, datasheets, vendor files, and supporting documents without converting them into a new format first. Our system automatically processes drawings, lists, and specs.
Extract the engineering data
Novek pulls tags, line numbers, equipment details, bill items, and datasheet attributes directly from the package and keeps every field source-linked.
| DATA REGISTER | TYPE | SOURCE | CONF. |
|---|---|---|---|
| Piping Line List | Process | 148 sheets | 99.2% |
| Equipment Tags | Mechanical | Datasheets | 98.9% |
| Instrument Index | I&C Spec | Drawings | 97.5% |
| Bill of Materials | MTO Summary | Specs | 95.1% |
Review against source documents
Every extracted field stays linked to the exact location in the source P&ID or datasheet. Engineers click any row to verify it against the original drawing — no manual cross-referencing.
Flag issues before QA gets expensive
Conflicts between P&IDs, datasheets, and vendor files are flagged early so teams can fix them before delivery and client review. Surfaces mismatches in sizes, materials, and tags.
Ship clean deliverables
Export structured outputs your team can send to clients faster, with better consistency, lower manual effort, and clear traceability.
Why not just use ChatGPT?
General-purpose AI wasn't built for this work
The gap isn't intelligence. It's engineering context, structured output format, and source traceability.
See how the platform works →Reads engineering documents, not just text
General-purpose AI summarizes text. Novek reads P&IDs as visual diagrams, datasheets as structured attribute tables, and vendor packages as multi-format collections. It understands what a tag number is, how line numbers are structured, and what a pipe class designation means.
Outputs are structured for engineering delivery, not chat responses
ChatGPT gives you paragraphs. Novek gives you a tag register with correct column headings, normalized attribute values, and cross-references to line numbers from the P&ID — ready to hand to a client or QA team.
Every field is traceable back to the source
With general-purpose AI, you can't know if an extracted value is correct without re-reading the document yourself. Novek links every field to its exact source location so engineers can verify quickly — not re-read everything.
By the numbers
What Novek delivers on real engineering packages
P&IDs processed in a single extraction run
epc-ifc-fed-train package
From document upload to first deliverable
tag register + line list
Source traceability on every extracted field
click-to-source on all outputs
Faster than building a line list manually
across a 100-P&ID package
Common questions from engineering teams
Answers to the questions teams ask before they book a demo.
If your team is still building lists and registers by hand, it is time to see Novek
Bring a real document package — P&IDs, datasheets, or vendor files from an active project. In the demo, we run a live extraction, walk through the HITL review interface, and export a sample line list and tag register you can keep. No setup required on your end.