About

Infrarity tells construction teams what is actually happening on their projects.

Infrarity is a construction-intelligence platform that uses computer vision, multimodal AI, project data and predictive analytics to help construction teams understand site progress, detect project risks, connect field conditions with project documentation, and make faster project decisions.

Why we are building it

The data exists. The understanding doesn't.

Every project produces site photographs, drone imagery, drawings, schedules, inspection records, daily reports, RFIs and quality reports. The problem is not a lack of data. It is turning that data into a clear answer about what has been built, what is late and what needs attention.

Infrarity sits between project data and project decisions. Its job is to understand what is happening on site and surface what matters, with the evidence attached.

How we build

Six principles behind every screen.

  • Technical

    We build for people who read drawings and schedules for a living, in their language.

  • Precise

    Every figure is measurable, every observation has a confidence, and every claim has a source.

  • Reliable

    Owners and lenders act on our numbers, so people confirm them before they count.

  • Intelligent

    AI that adds context and evidence, not novelty.

  • Security by design

    Isolation, roles, audit and retention are requirements before a connected release.

  • Modern

    Computer vision and multimodal AI on the phones teams already carry.

Where we are

Interactive MVP. Sample project.

The public Infrarity preview walks through capture, comparison, progress confirmation, schedule risk, Copilot and reporting using fictional records. A connected service for real projects is the next stage.

  1. 1Concept

    Evidence-backed construction intelligence for the project team.

  2. 2Preview

    Explore the sample workflow across the dashboard and product modules.

  3. 3Next stage

    Connect secure storage, project ingestion and live analysis before accepting real data.

Explore the sample project.

Walk through the sample project from site capture to weekly report.