Contracts discovery
A commercial team scanning the official journal every morning to decide where to bid.
public contracts discovery
year >
industry >
procurement
problem >
Finding tenders meant hours of manual scanning every day, with deadlines tracked in spreadsheets.
Opportunities sat across the official journal, emails and notes. There was no shared pipeline, no owner per bid, and a real risk of missing a submission date.
what we did >
We built a platform that collects the day’s tenders automatically and runs the bids as a pipeline.
A crawler ingests and deduplicates every relevant notice daily. The team filters by buyer, location and deadline, drags bids across a Kanban, and gets reminders as each deadline approaches.
result >
The morning scan is gone. Every relevant tender is in one place within a day of publication, and no deadline goes unwatched.
.
01
<24h
publication to platform
.
02
100%
relevant notices covered
Questions
A company is AI-native when AI is part of how the product works and how the work gets done — not a feature added at the end. It changes what you build and how your team operates. We work that way ourselves, which is why we can tell you what it costs.
If you already know what to build, start with software. If you do not, start with consulting. Most companies start with a two-week assessment and move straight into a build.
One call. We look at your business, product and operations, then send a short written plan with scope, timeline and price. No questionnaire, no discovery deck.
An assessment takes two weeks. A first system usually runs in production within four to eight weeks. Larger programmes run as a monthly engagement.
Companies with a real operational or product problem — funded startups through to established mid-size companies. We are based in Portugal and work remotely across Europe.
