Quotes that start immediately
Line items land in the template while the enquiry is still fresh, so pricing can begin the moment the RFQ arrives instead of queueing behind data entry.
Quote requests arrive as spec sheets in each customer's format, and the bill of materials inside them has to reach your own quoting template before anything can be priced. The document agent finds the BOM, reads it cell by cell, learns each customer's format once, and exports - with a person reviewing every step that matters.
A spec sheet is not one table - it is a page of them. Revision histories, title blocks, notes, and somewhere among them the bill of materials. The PDFs are often scans with no text layer, so there is nothing to copy. And every customer lays the same information out differently, under different column names.
The standard trick - screenshot the table, ask a model to extract it - produces confident output with swapped columns and merged rows, and nothing flags the error. So the work stays manual: someone opens each file, finds the BOM, and re-types it into the quoting template, cell by cell, for every file in every enquiry.
Read the demand entry on the AI ROI MapThe agent scans the document for every table, then looks for the one that is semantically a bill of materials - and when two candidates look alike, it shows both and lets a person choose rather than guessing silently. The chosen table is read from the document's own geometry: each cell located, then transcribed individually, which is where the accuracy comes from. Column names are mapped onto your fields as a reviewed profile, and the result exports into your quoting template.
The parsing engine underneath is the same one that runs in production foranalytical lab reports - this is that engine, scoped to quote requests. Not a third product: the same document agent, pointed at a different document estate.
Each step is inspectable. The value in your template can always be traced back to the cell it came from.
Extraction is automatic; judgment is not. This is the flow as it runs in the demo environment - the human decides what counts, corrects what is off, and owns the export.
Line items land in the template while the enquiry is still fresh, so pricing can begin the moment the RFQ arrives instead of queueing behind data entry.
Every value is read from its own cell and stays traceable back to it, so an odd number can be checked against the page instead of trusted on sight.
A customer’s layout is mapped once, reviewed by a person, and every later file in that format lands the same way - the judgment is made one time.
Every table that could be a bill of materials is surfaced. A human decides which ones count, including more than one at a time.
Output arrives in the quoting template your pricing logic already expects - not another intermediate file that needs re-keying downstream.
Image-only documents are read from their own geometry, cell by cell - not guessed at from a screenshot of the whole table.
Entirely inside your infrastructure. The spec sheets are your customers' confidential designs - they never leave your boundary, and neither does your pricing logic.
Bring one enquiry - the files exactly as they arrived - and watch the line items land in your template. Or run the public exercise first and try to prove us wrong. No form, no gate.
On-prem. Your data never leaves your boundary.