Computer vision services.
Cameras that understand what they see.
Vision systems for inspection, counting, safety and identity, on cloud or edge devices.
The problems we solve first.
Real-world conditions
Lighting, angles and motion break lab models.
Edge limits
Factory and store devices have little compute.
Labelled data
Most teams do not have training images ready.
What you get.
Every engagement includes design, engineering, evaluation, security review and handover from one senior team.
Data collection
Image capture and labelling plans.
Model training
Detection, segmentation and classification.
Edge deployment
Models on cameras and devices.
Dashboards
Alerts, counts and trends.
Integration
Results sent to ERP or ops tools.
Retraining
New images improve the model.
Computer vision, by industry.
How we ship AI that holds up.
Evaluation comes before scale. You see it working on your data before you commit to the full build.
Discover
Pick the task, define what “good” means and collect sample data.
Prototype
A working version on your real data, shown to real users.
Evaluate
Automated tests for accuracy, latency, cost and safety.
Productionise
Security, scaling, integrations and admin controls.
Monitor
Quality, drift and spend tracked; prompts and models improved.
Three ways to start.
AI sprint
One use case, prototyped on your data and tested with users.
You leave with · Prototype + go/no-goPilot
A production-grade version for one team, with evals and monitoring.
You leave with · Live pilot + ROI dataAI team
A dedicated squad that ships and improves AI across your products.
You leave with · Roadmap deliveredQuestions, answered.
Most clients start with a two-week AI sprint. Pilots and production builds are priced after the sprint, once we know what works on your data.
Ready to try computer vision? Start with a sprint.
Tell us the task. An AI architect replies within one business day with a sprint plan. NDA on request.