We build computer vision into your operation, and stay.
Forward deployment means you do not get software and a login. You get computer vision engineers who train models on your photos, alongside your team, until every job is being checked, and for as long as it runs.
Hard hatSix stages. We do the heavy part of each.
The order matters: each stage uses what the one before it produced.
- 1
Walk the work
WeWe sit with the people who check jobs today and look at real photos with them, until we can say what “right” looks like for each kind of job.
YouAn hour or two with whoever signs jobs off, and a sample of past photos.
- 2
Label
WeWe draw the boxes on your photos in Sight’s own labelling tool. Nothing to license, and nothing leaves for a labelling farm.
YouA second pair of eyes on the cases we are unsure about.
- 3
Train and score
WeWe train a model on your photos and score it on photos held back from training. If the score is not good enough, we say so and fix the photos or the labels.
YouNothing. No machines to rent and no settings to choose.
- 4
Write the checks
WeWe turn each rule you sign jobs off against into a check: what must be in the photo, what must match, and what counts as a pass.
YouThe rules, in your own words. You approve each check before it runs.
- 5
Connect
WeWe connect Sight to the app your crews use, so photos flow in as they are taken and verdicts land on the job.
YouAccess to a developer on your side or at your software vendor, for a short while.
- 6
Stay
WeWe watch the doubtful cases, retrain as your reviewers correct them, and add checks as your work changes.
YouTell us when the work changes.
What you never have to buy.
A mid-market company that tries this in-house hires a scarce engineer, buys tools and rents GPUs before a single photo is checked. Here is that bill, with its sources.
Not counted: a recruiter’s fee, payroll tax, storage, connecting it to your app, and your managers’ time. One engineer hired on day one is assumed; labelling volume and GPU hours are estimates.
With Sight
- EngineersOurs. No one to hire.
- LabellingDone by our team, on your photos.
- Training and tuningDone by our team, scored on photos the model never saw.
- InfrastructureNone to buy and none to run.
- First stepA pilot on photos your crews already take.
- Indeed Australia average (low) and Robert Half 2026 Melbourne median (high).
- Low: 10,000 boxes at a published US$0.10 a box. High: half of one labeller’s time at the Indeed Australia average.
- Label Studio starter plan, one or two users.
- Public on-demand prices for Sydney, September 2026: 200 to 500 training hours, and 6 to 12 months of serving.
Engineers who have run the work.
We have built and run software and field services on national-scale projects. We know what a completion pack is, why the photo is always taken in bad light, and what happens when a job is signed off wrongly.
That is why we do not hand over a tool and wish you luck. We build Sight into the work that repeats, and we are on the other end of the phone when something changes.
Hi-vis Hard hatTalk to a computer vision engineer.
Bring a handful of the photos your crews take today. You will talk to an engineer who builds these models, not a sales queue, and leave knowing what Sight can find in them.
Not ready to talk? Save our card and come back when you are.