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AI for rental damage

Check-out and check-in photos compared, new damage flagged.

Damage charges are lost when nobody notices the dent until the next customer does. A model that compares check-out and check-in photos and flags what looks new helps yard staff catch it on a busy day. Staff confirm; the model only flags.

// what matters here

What is different in this industry.

01

Trained on your fleet

Machines, colours and wear differ by fleet. We fine-tune the model on your own photos, which is why it is custom rather than general.

02

Measured before it is used

The model is scored on a held-out set of your photos, and the result it must reach is agreed before it goes into the yard.

03

Staff confirm every charge

A flag is a prompt to look, not a charge. Yard staff confirm or dismiss, and only confirmed damage reaches billing.

04

Better with every return

Dismissed and confirmed flags become the next round of training data, so the model learns your fleet's normal wear.

// example projects

Priced examples for this service.

Each one is hypothetical, labelled as such, and priced live from our rate card. Open any of them in the estimator and make it yours.

Example projectWeb appAICustom LLM

Check-in damage photo model

Hypothetical. Not a client, not a result.

// The problem

Yard staff compare check-out and check-in photos by eye, miss new damage on busy days, and the company writes off charges it cannot prove.

// What we would build

A custom vision model, fine-tuned on the company's own check-out and check-in photos, that flags likely new damage between the two for yard staff to check, served in the company's own cloud account.

// What is in it

  • Guided photo angles on check-out and check-in, from the yard app
  • Likely new damage flagged between the two sets of photos
  • Yard staff confirm or dismiss each flag, and confirmed damage goes to billing
  • A model fine-tuned on your photos, measured on a held-out set first
  • Dismissed flags kept as the next round of training data

// Stack

  • PyTorch
  • ONNX Runtime
  • Python
  • Next.js
  • AWS GPU instances

// estimate

Build
≈ US$156,000 to US$238,000, delivered within 36 weeksCAD 222,100 to 339,100
Hosting
≈ US$6,710 a monthCAD 9,550 a month
Support
≈ US$2,500 a monthCAD 3,565 a month

Prices in your currency are estimates from today's Bank of Canada rate. All invoicing is in CAD or USD.

AI route
Custom LLM
Model running cost
≈ US$6,530 a monthCAD 9,300 a month

Timeline by milestone

Discovery
2.9 to 3.4 weeks
Data and evaluation plan
0.4 weeks
Design approved
2.4 to 3.9 weeks
Core features
1.9 to 3.4 weeks
Full build
1.4 to 2.4 weeks
Training
8.9 to 15.4 weeks
Testing and fixes
0.4 weeks
Evaluation and red-teaming
3.9 to 4.4 weeks
Launch
0.9 to 1.4 weeks
Production
0.9 to 1.4 weeks

How it is paid

Deposit 20%
CAD 44,180 to 67,580
Discovery 1.3%
CAD 2,871.70 to 4,392.70
Data and evaluation plan 8.2%
CAD 18,113.80 to 27,707.80
Design approved 1.3%
CAD 2,871.70 to 4,392.70
Core features 4%
CAD 8,836 to 13,516
Full build 2.6%
CAD 5,743.40 to 8,785.40
Training 24.8%
CAD 54,783.20 to 83,799.20
Testing and fixes 1.3%
CAD 2,871.70 to 4,392.70
Evaluation and red-teaming 16.5%
CAD 36,448.50 to 55,753.50
Launch 1.3%
CAD 2,871.70 to 4,392.70
Production 8.7%
CAD 19,218.30 to 29,397.30
Holdback, 30 days after launch (10%)
CAD 22,090 to 33,790
GPU time for training and testing, at cost
CAD 1,200. Billed up front, at cost, outside the milestones

// questions

Questions we get about this.

Do yard staff need special cameras for damage photos?

No. The yard app guides staff through the same angles on a phone or tablet, which matters more than the camera.

How many photos does the damage model need?

A few thousand paired check-out and check-in photos is a common start. We measure as we go and tell you which machine types need more.

Can the damage photos be shown to the customer?

Yes. Confirmed damage comes with the before and after photos, which can go on the invoice or the dispute file.

// next

Not quite your project?

Tell us what you have in mind. We will come back to you with a range and the questions that would narrow it. Or book a call and talk it through.

AI damage detection on equipment rental check-in photos | Atheron Network Labs