Projects Tender.app

AI-powered data extraction for tender documents

Overview Challenge Solution Results

Overview

Client
Tender.app
Industry
Procurement SaaS
Location
International
Timeline
AI integration project
Deliverable
AI document extraction layer

Tender.app helps procurement professionals manage and respond to tenders more efficiently.

Dextrasoft integrated an AI-powered data extraction layer that automatically pulls structured information from complex, unstructured tender documents — eliminating the manual reading that was slowing down the data team.

The challenge

Tender documents can run to hundreds of pages, written in inconsistent formats across different contracting authorities.

1.

The data team were spending hours extracting key requirements, deadlines, evaluation criteria, and submission instructions from each document.

2.

Documents arrived in inconsistent formats across different contracting authorities — across multiple languages.

3.

Time spent on extraction was time not spent on the higher-value work of helping our clients find the information needed to win tenders.

Our solution

We built an AI integration using large language models to parse tender documents and extract structured data.

LLMDocument AIMulti-language

Our pipeline pulls deadlines, requirements, evaluation criteria, contact details, and submission formats out of unstructured tender PDFs.

The extracted data populates the Tenderapp workspace automatically, giving our data team a clean structured summary for review of all tender related data suppliers need to know. And it takes just a couple of minutes.

Results

Hours of manual reading replaced with seconds of automated extraction.

Dramatically reduced time on tender document analysis.

AI extraction handles documents across multiple languages and formats.

Structured output integrates directly into the existing tender management workflow.

Cleaner data, fewer errors, faster turnaround for the data team.

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