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From site data to decisions

Custom AI for construction and industry: cost prediction, documents and tenders, in production.

Vidra AI

From data to AI that works.

Analysis — data visualisation

Data

We organise scattered budgets, invoices and documents and check whether they are ready for AI.

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Machine Learning and Deep Learning — data visualisation

Prediction

We estimate project costs from your history, with a confidence range on every result.

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Generative AI and agents — data visualisation

LLMs & agents

We read invoices and delivery notes, spot tenders and answer from your company's own documentation.

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How we work: implementing AI in your company in four phases

How we work: the road may have a few bumps, but we keep you rolling.

  1. Identify

    We interview your team, map every inefficient process and calculate its real cost: people, hours, cost per hour, errors and missed opportunities. You get a clear figure before you invest.

    Results in 2-3 weeks.

  2. Build

    We design and develop AI solutions integrated into your current systems. No unnecessary migrations. No disruption. In production, not in a demo.

    First pilot within weeks.

  3. Adopt

    We train your team to use, supervise and improve the solutions without relying on us for every change. We stay with you until AI is part of the daily work.

    Autonomy from month 1.

  4. Evolve

    We review results, optimise workflows and spot new opportunities. Your business changes, and your AI solutions evolve with it.

    Ongoing support.

AI already working.

The Vidra IA office seen from above: the team at their desks and three monitors on the long table.

Data, engineering and strategy.One team.

Data science

Models and analysis that turn your data into decisions with measurable return.

Software engineering

Solid, scalable systems, ready for production and easy to adopt.

Strategic consulting

Strategy before execution: we prioritise what really moves your business.

Companies we have worked with