ova
Pipes and cable trays running through the ceiling of a technical building.

Construction and fire protection

From building model to a reviewed quote list

Penetrations found in models and drawings, each with its evidence, and released by a calculator before quoting.

All use cases

The problem

To price fire-stopping work, every penetration through a fire-rated wall or floor has to be found, measured and classified. The input is a mix of BIM models, PDF drawings and long reports that varies per project.

Done by hand, this takes days. General AI tools get part of the way, but files and prompts have to be redone for each project, the results can't be traced back to their source, and a project lead still checks everything. A quote can't be built on a guess.

The journey

  1. Project and scope

    Your team

    The calculator uploads the model and drawings, and sets the floors, zones and element types in scope.

  2. Penetrations are detected

    Nova

    Candidates are found in model and drawings, with size, host element, fire rating and confidence.

  3. Matching a solution

    Nova

    Each penetration is classified and matched against the tested solutions in the company's catalogue.

  4. Review, row by row

    Your team

    The calculator inspects each candidate at its source, then confirms, corrects or rejects it.

  5. Contradictions stay visible

    Your systems

    If drawing and model disagree, both values are shown and the calculator decides which applies.

  6. Release and new versions

    Your team

    The reviewed list is exported for the quote. A new model version flags only the rows it affects.

Nova's solution direction

  • Evidence on every row

    Each row links to the model element or drawing detail, with its review status and reviewer.

  • No guessing

    Uncertainty is shown rather than hidden, and hard cases go to a person.

  • Measured on hard cases

    Extraction and matching are tested separately against a manually validated reference set.

  • A closed environment

    Project files stay in a secure environment, with the access and traceability this work needs.

Anonymised use case, based on a real brief in our studio. Names and identifying details have been left out. It describes a solution direction, not a measured result.

More use cases

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