Intelligent Multi-Document Extraction
Automatically extract key information from multiple heterogeneous documents and consolidate them into an actionable view.
A cost breakdown in a spreadsheet, a scanned annex, a variation order in Word
A tender file rarely arrives in one consistent shape. The cost breakdown received as a spreadsheet the night before submission, the technical annex scanned as a PDF, the variation order drafted in Word three weeks later: each piece carries part of the picture, and none of them is enough alone. The site manager checking that the quantities still add up spends the evening opening one file after another, holding the running total in their head between tabs.
The contradiction nobody caught
A standard extraction tool reads each document on its own and returns figures that are correct in isolation. The problem shows up when two documents disagree: a quantity revised in the variation order that never makes it into the summary table, a clause changed in one annex that nobody checks against the earlier version. These gaps survive because nothing ever puts the two side by side.
No version of record, nothing to consolidate
The project depends on every document carrying an identifiable date or version number, and on one person responsible for saying which copy is authoritative when duplicates exist. Without that minimum discipline, no system can decide on its own which version wins; it only adds a layer of uncertainty to the one already there, and sometimes hides it behind a confident-looking table.
The site manager settles the flagged discrepancies
We build a pipeline that reads each document, extracts the key data, and cross-checks it against the rest to surface what doesn’t line up. The consolidated output cites, for every figure it keeps, the source document and line. When two sources disagree, the system flags both; the site manager then decides which to keep.