case study

BIM quality assurance

A construction team reviewing building models by hand, model by model.

bim quality assurance

year >

industry >

construction

problem >

Every model went through a manual quality check before it could be used.

The checks were slow, they depended on who ran them, and problems found late cost far more than problems found early.

what we did >

We turned the checklist into an automated review that runs on every model version, flags what fails and points at where.

The rules are the team's own rules, written down once and applied the same way every time.

result >

Reviews are consistent and issues surface before work reaches site, where fixing them is expensive.

.

01

X%

faster review

.

02

Every version

checked automatically

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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