AI-powered engineering document intelligence
DraftIQ transforms complex technical documents into structured, searchable data using advanced AI extraction and reasoning.
Engineering information is trapped in PDFs and drawings.
Every upgrade, audit, or retrofit starts by re-reading P&IDs and technical drawings by hand — rebuilding data for every valve, line, and instrument. It's slow, manual, and error-prone. And the messiest drawings, old and scanned, are exactly the ones modern projects depend on.
DraftIQ extracts, structures, and organizes engineering data.
A multi-stage AI pipeline reads the drawing, reconstructs the pipe-and-valve network, and validates every field against engineering rules. Critically, it doesn't guess: where it isn't certain, it flags the field for review rather than filling it in. Every result is built for engineer sign-off.
Real drawing in — engineer-ready data out
DraftIQ turns unstructured drawings into validated, structured records your team can trust and act on.
Amber cells mark low-confidence fields flagged for review — DraftIQ leaves them blank rather than guessing.
What DraftIQ can do
P&ID intelligence
Reads piping & instrumentation diagrams and reconstructs how lines and valves actually connect — even on scanned, flattened legacy drawings.
Valve schedules
Extracts engineer-ready valve lists — tag number, type, line number, size, and spec — exportable to structured formats.
Instrument extraction
Identifies and indexes tagged instruments from drawings so nothing gets missed in a re-read.
Document metadata harvesting
Reads title blocks and document metadata — document number, revision, status — for records management and EDMS.
AI-assisted review
A human-in-the-loop review workspace with zoomed drawing crops, so engineers verify and sign off with confidence.
A workspace built for engineers, not data entry
Review extractions, trace confidence, and export structured data — with every value tied back to where it came from on the drawing.
Documents processed
1,284
Fields extracted
47.6k
Awaiting review
36
Extraction throughput
+ this weekDetected entities
- Valve schedule212 rows
- Instrument tags94 tags
- Line list1,043
- Equipment58 items
Illustrative interface preview. Figures shown are placeholder data.
See DraftIQ on your drawings
Curious whether DraftIQ can read your toughest legacy P&IDs? Let's set up a look at your documents.