The problem
The client's engineers were spending entire days extracting structured specification data (pressure ratings, material types, connection sizes) from thousands of inconsistent PDF datasheets supplied by hundreds of manufacturers. The work was slow, error-prone, and a drag on every project.
What we built
A document-understanding pipeline combining OCR, computer vision, and large language model reasoning. Engineers upload a datasheet (or a folder of them); the system returns clean, validated, structured data along with cited source snippets so anomalies can be reviewed.
Outcome
Manual extraction work that used to consume a senior engineer's day is now a background task. The structured output feeds directly into procurement and project tooling, and the same pipeline is being extended to adjacent document types.
