Computer Vision & Machine Learning
Computer Vision & Machine Learning
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Package overview
Computer vision and machine learning trained on your own footage and deployed where you need it.
Typical timeline: 2 weeks for a feasibility sprint, longer for a pilot. Scope, access and start date are confirmed during onboarding.
Is this for you?
- The Data We plan what to collect and how to label it.
- The Model Trained and evaluated against a target agreed up front.
- The Deployment Runs on a phone, an edge device or in the cloud.
What's included
- Data collection and annotation plan
- Model training and evaluation
- Deployment to mobile, edge or cloud
- Dashboard or API for results
- Retraining and monitoring
Every package also includes a written scope, structured revisions and a named point of contact.
How it works
- Discover Share your goals, access and assets.
- Plan Agree scope, timeline and structure.
- Build We design and build with regular check-ins.
- Improve Review, launch and refine.
Before we begin
- Sample footage or images
- The decision the model should support
- Where it must run
- How you will judge success
Accuracy depends on data quality. Targets are agreed during the feasibility stage and are not promised in advance.
FAQs
Do I need to collect data first?
Share what you have. The plan covers collection and annotation.
Where can the model run?
On a phone, on an edge device or in the cloud.
What does the package price cover?
The scope listed under What's included. Anything outside it is quoted separately before work starts.
When does the timeline start?
Once access, assets and content are ready. The start date is confirmed during onboarding.
How do revisions work?
Each package includes structured revision rounds on agreed deliverables. Extra rounds are quoted separately.
Do you guarantee results?
No. We commit to the agreed scope and quality, not to a fixed revenue or conversion outcome.
Not sure which package fits? Talk to us.
