Computer vision experts
Computer vision platforms that interpret imagery and video to automate inspection, safety and customer experiences.
We combine data strategy, model development and deployment so vision solutions operate reliably in production environments.
What is computer vision
Computer vision uses machine learning to extract meaning from images and video, enabling automation and analytics.
Advances in deep learning allow accurate detection, segmentation and recognition in real time.
We deliver computer vision systems with robust data pipelines, labelling workflows and monitoring.
Collection, labelling and augmentation pipelines to prepare training data.
CNNs, transformers and custom architectures tuned to your environment.
Optimised models for cameras, mobile devices and embedded hardware.
Drift detection, accuracy dashboards and feedback loops.
Why computer vision
- Automates manual inspection and monitoring
- Improves safety and compliance
- Unlocks new data for decision making
- Supports predictive maintenance and quality control
Computer vision projects
Industry examples of the solutions we deliver.
Real time defect detection on production lines and packaging.
Footfall analysis, planogram compliance and queue monitoring.
Assisted diagnostics using CT, MRI and microscopy imagery.
Driver monitoring, occupancy detection and hazard alerts.
Traffic optimisation, environmental monitoring and public safety.
OCR and visual document parsing for finance and logistics.
When computer vision is the right choice
- You have visual workflows that require consistent, scalable decisions
- Manual inspection is time consuming or prone to error
- Safety, compliance or customer experience relies on visual insight
- Edge deployment can reduce latency or connectivity requirements
When to consider alternatives
- Simple counting tasks may be solved with sensors or traditional analytics.
- If labelled data is limited, start with data collection and governance.
- Regulation may require human review alongside automation.
- For textual tasks, natural language processing might be more appropriate.
Cloud vision APIs vs custom models
| Criterion | Cloud APIManaged | Custom modelTailored |
|---|---|---|
| Speed | Fast to integrate for common use cases | Requires data preparation and training |
| Accuracy | Limited by provider training data | Optimised for your specific environment |
| Cost | Usage based pricing | Higher upfront but lower variable costs at scale |
| Data control | Images processed by provider | Data remains under your governance |
| Differentiation | Great for standard tasks | Enables bespoke capabilities |
We advise on managed APIs or custom computer vision models based on accuracy, compliance and ROI goals.
Deliver dependable vision systems
We offer discovery, data pipelines, model development and deployment for computer vision initiatives.
No obligation. We keep imagery secure and delete it on request.