Tender automation: from 200-page PDFs to a structured bid plan.
We extract requirements, scoring criteria and deadlines from tender documents, then map them to your past responses and pricing logic so your bid team works on judgement, not parsing.
What teams running this workflow tell us before we start.
Days lost to manual extraction
200-page tender PDFs eat 2–3 days just to parse requirements, scoring and compliance criteria into a workable matrix.
Compliance gaps cost you the bid
Missing one requirement or scoring section can disqualify the entire submission. Manual review at deadline pressure is risky.
Past bid content stays trapped in PDFs
Winning answers from 18 months ago sit in archived PDFs — useless when you're racing the clock on a similar tender.
The four building blocks of a working tender workflow.
Requirements extraction from PDFs
We parse tender documents into structured JSON of requirements, scoring sections, deadlines and submission rules — with traceable citations back to the source pages.
Past-bid retrieval engine
We index your last 18–24 months of submitted bids and weight them by win rate. The system surfaces the most relevant past answers per requirement.
Compliance & scoring matrices
Auto-generated answer matrix that maps every requirement to a draft response, scoring weight, and your historical win-rate against that requirement type.
Pricing model assembly
Pull rates from your existing Excel pricing models and pre-fill the cost section with risk scenarios you can validate in minutes.
Forge — 10 days → 2 days, €212k saved annually.
What teams ask before we kick off.
We deploy on your infrastructure or in EU-region cloud, depending on your security stance. No data leaves your boundary unless you explicitly allow it.
Want to see if this fits your team?
20-min audit. We map your workflow, estimate ROI, and tell you straight whether automation makes sense.