Tagsight launches AI platform for engineering drawings

Tagsight has launched an AI platform that converts industrial drawings into structured engineering records. The Calgary company says the product is already used in more than 30 countries.

The platform turns information from industrial drawings and technical documents into reusable data for engineering work. Engineers often still rebuild that information manually into registers and lists for each new task.

For piping and instrumentation diagrams, or P&IDs, the software generates instrument indexes, input/output lists, and equipment registers from digital PDFs and scanned drawings. It interprets tags, symbols, and signal information in engineering context, rather than simply extracting text.

Records created by the software remain linked to their original location on the source drawing. Engineers can select a record, inspect its source, make corrections, and export the reviewed data into existing workflows.

This approach is intended to keep verification within the review process, rather than leaving engineers to reconcile a separate AI-generated spreadsheet after extraction.

Muaawia Jannat founded the business and leads product and AI development. The company says advisers with more than 30 years of combined electrical and process engineering experience support the work.

Jannat said the product was built to address repeated data re-entry across engineering processes.

"Engineering firms should not have to rebuild their own information every time it moves into a new workflow," said Muaawia Jannat, Founder and Chief Executive Officer of Tagsight.

Interest has also come from larger industrial and engineering organisations. Tagsight has received enquiries from groups headquartered in Germany and Taiwan, as well as operators in Alberta.

Drawing data

The announcement highlights a long-running issue in industrial engineering: critical plant information often remains locked in drawings, mark-ups, and technical files. Even when documents are available in digital form, the data inside them may not be immediately usable in registers, controls work, or maintenance systems without further manual handling.

That has created an opening for software suppliers applying AI to engineering documents. Tagsight is targeting a specific document type widely used across process industries, where diagrams contain equipment references, instrument tags, and signal relationships that must be preserved accurately when transferred into working records.

Its emphasis on linking extracted records back to their source appears aimed at a central concern in industrial settings: traceability. Engineering teams reviewing machine-generated outputs often need to confirm exactly where a tag, symbol, or signal reference was found before accepting it into operational or compliance-related systems.

According to Tagsight, its software allows that source verification to happen within the same workflow. Users can review an extracted item against the original drawing, correct it if required, and then pass it into downstream tools.

Wider use

While the initial workflow centres on extraction from drawings, development is moving towards a connected engineering record across different document types, revisions, and downstream tools. The aim is to help engineering firms carry information from one task to another instead of recreating it each time.

That points to a broader ambition than document parsing alone. In engineering organisations, revisions across drawings, lists, and maintenance records can create duplicated effort when teams need to check whether information remains aligned from design through to operations.

Jannat described that longer-term direction in the company's second quoted statement.

"We are building Tagsight so the information in a drawing can carry through into engineering, controls, and maintenance, with engineers able to check where each record came from," said Jannat.

Tagsight is based in Calgary and describes itself as an industrial software company focused on extracting, reviewing, and reusing engineering data from technical drawings and documents.