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Voxd

AI Construction Progress Photo Monitoring

Make site photographs easier to turn into a progress review.

Organise and compare site images to help teams review visible progress and exceptions.

The opportunity

The problem we help you solve

Site images accumulate across locations, dates and teams. The evidence exists, but comparing it takes effort and the important change can be difficult to find among near-identical photographs.

Voxd helps organise and analyse visual progress evidence around defined questions. We assess the consistency of the images and what comparisons they can support, then link findings back to the originals. The result is a tool for project review, with people retaining responsibility for interpretation and site decisions.

What changes for your team

Find relevant evidence more easily

Organise photographs around the locations, dates or activities that matter to the review.

Support more structured comparisons

Assess visible changes against agreed criteria rather than relying on an unorganised image collection.

Keep the finding reviewable

Give the project team access to the images behind an observation so it can investigate further.

What we deliver

What Voxd can deliver

01

Image and question assessment

Define the progress questions and assess the coverage and consistency of available photographs.

02

Organisation and analysis pilot

Test useful classification or comparison tasks on representative site material.

03

Reviewable reporting

Present source-linked findings and agree how they fit into the project team’s process.

Why Voxd

A practical route from detection to an operational tool.

Voxd brings AI development, workflow automation and custom software together. We can build the review interface, connect the result to an existing system and design how uncertain cases reach a person.

We begin with feasibility because different visual tasks have very different requirements. You get a way to test the opportunity before committing to a larger deployment, with a decision based on your images and operating conditions.

How we work

Prove it in your environment

  1. 01

    Define the inspection

    We agree what should be detected, what acceptable variation looks like and the practical consequences of a missed detection or false alarm.

  2. 02

    Assess representative images

    We review camera setup, image quality and examples of both normal and difficult conditions. Gaps in the sample are identified early.

  3. 03

    Run a measured pilot

    We evaluate detection quality and the review workload against agreed criteria, including examples outside the easiest cases.

  4. 04

    Connect useful results

    If the pilot supports proceeding, we integrate the findings into a working process with human review, ownership and ongoing performance checks.

Before you get started

Before you get started

Can it confirm work is complete or compliant?

A photograph may not establish either. The system supports a defined visual review; formal acceptance and specialist assessment stay with the responsible professionals.

Do photographs need to be taken consistently?

Consistency can materially improve comparisons. We assess the current capture process and identify changes that would make the evidence more useful.

Make your progress evidence easier to use.

Tell us what the team needs to compare and show us the photographs available today.

Discuss your AI project