Calgary-based company Tagsight has introduced an AI-driven platform designed to transform industrial drawings into organized engineering records. The firm reports its solution is already in use across more than 30 countries.
This platform processes data from industrial drawings and technical documents, converting it into reusable formats for engineering tasks. Currently, engineers frequently manually re-enter this information into registers and lists for each new project.
Specifically for piping and instrumentation diagrams (P&IDs), the software creates instrument indexes, input/output lists, and equipment registers from both digital PDFs and scanned drawings. It understands tags, symbols, and signal data within their engineering context, rather than merely extracting text.
The records generated by the software maintain a connection to their original position on the source drawing. Engineers can access a record, verify its source, make any necessary adjustments, and integrate the updated data into their existing workflows.
By integrating verification into the review process, this method aims to eliminate the need for engineers to separately reconcile AI-generated spreadsheets after data extraction. The company’s objective is to streamline engineering workflows and minimize manual data re-entry.
Founded and led by Muaawia Jannat, who oversees product and AI development, Tagsight benefits from advisors with over 30 years of combined experience in electrical and process engineering. Jannat explained that the platform was developed to address the recurring issue of data re-entry in 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. The company has attracted interest from major industrial and engineering organizations, including those based in Germany and Taiwan, as well as operators in Alberta.
Tagsight focuses on a specific type of document prevalent in process industries, where diagrams include equipment references, instrument tags, and signal relationships that must be accurately preserved when transferred into working records. The software is designed to extract and repurpose engineering data from these technical drawings and documents.
By ensuring extracted records remain linked to their source, the software addresses a critical need in industrial environments: traceability. Engineering teams often need to verify the origin of a tag, symbol, or signal reference before incorporating it into operational or compliance systems. Tagsight’s platform enables this verification within the same workflow.
Users can compare extracted data with the original drawing, make corrections if needed, and then transfer it to subsequent tools. While the initial focus is on drawing extraction, development is progressing toward a unified engineering record system that spans various document types, revisions, and downstream tools.
The goal is to enable engineering firms to carry information from one task to the next, rather than recreating it each time. Jannat outlined this long-term vision in the company’s 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.
