case study

Knowledge platform

An enterprise whose answers lived across thousands of documents in half a dozen systems.

knowledge platform

year >

industry >

enterprise

problem >

People could not find what the company already knew.

Documentation, contracts, specs and past decisions sat in different systems with different permissions. Finding an answer meant asking a colleague, and the colleague meant an interruption. New staff took months to become useful.

what we did >

We built one place to ask.

Retrieval across every source, answers that cite the document they came from, and permissions that match the source system so nobody sees what they should not. It stays current on its own — new documents are indexed as they land.

result >

Answers that took a search and a Slack message now take one question. The people who used to be the search engine got their day back.

.

01

Hours → seconds

time to answer

.

02

100%

answers with a source

faq

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.

rúben martins, founder

everything you need to know before the call

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