Skip to content

Industries Asset owners

Know the work on your assets was done right before you pay for it.

You own the network. Contractors do the work and send photos. Sight checks every photo against your standard, the same way for every contractor.

Line inspection, span 41 Photo 2 of 2
Two transmission towers with small boxes around each insulator Insulator Insulator
  • Insulators located Pass · 15 found
  • Photo sharp enough to assess Pass · Yes
  • Condition of each insulator Needs a person · Too small to judge
Needs a person
Check
Condition of each insulator
Why
Found 15, each too small to judge here
Ask
Ask for a closer photo of each tower

A stock photo. The boxes are real labels drawn in Sight; the checks shown are an example.

What Sight checks for asset owners.

Each check is a rule written with you and trained on your own photos. Every answer comes back as pass, fail or needs a person, with the photo and the reason.

  • One standard for every contractor

    Your checks are written once and applied to every job from every contractor. Nobody’s work is waved through and nobody’s is held to a harder rule.

  • Evidence before payment

    A job is accepted when its photos show what your standard requires. The ones that do not come back with the photo and the reason.

  • Assets found in every photo

    The hardware you care about is located in each photo, even when it is small and far away, ready for a count or a condition check.

  • Connected to your systems

    Results go back through the API to the work-management and asset systems you already run.

  • A proven error rate Rolling out

    You choose how often an automatic pass may be wrong, say 1 in 100. Sight is tuned on your audited jobs until it meets that, and everything else goes to a person.

The same eye, on every kind of photo.

Where Sight is today

Sight runs in production on install photos for a national telecommunications contractor, checking work done on an asset owner’s network. A deployment for you starts with a trial model on your own photos.

  1. 01

    Label

    We label your photos, with your people confirming what counts as right.

  2. 02

    Train

    We train and tune a model on them, and score it on photos it has never seen.

  3. 03

    Set up checks

    We write each check with you: what must be in the photo, and what passes.

  4. 04

    Connect

    We connect Sight to the app your crews already use and the systems behind it.

  5. 05

    Stay

    We keep running it, and retrain it as your reviewers correct it.

You hire no machine learning team and buy no infrastructure. How we deliver · Where Sight’s AI runs

Bring your standard and a month of contractor photos.

An engineer will tell you which parts of the standard Sight can check from a photo, and which still need a person.

By sending this, you agree to our Privacy Policy.

We store your details to contact you about the consult and keep chat records to improve our agent. We never sell your data. See our Privacy Policy.