AI services
Computer vision & multi-modal AI
Computer vision turns images, scanned documents and video into structured data your systems can act on. Newer vision-language models go further: they can read a chart, describe a scene or answer questions about a photo.
Last updated
What's included
- Object detection & segmentation
- Document AI & OCR
- Video analytics
- Vision-language models
What is computer vision?
Computer vision is the field of AI that lets software interpret images and video: recognizing objects, reading text, measuring and tracking movement. Businesses use it to turn photos, scans and camera feeds into structured data, and multi-modal models now combine vision with language to answer questions about what they see.
Where it helps
Common uses for computer vision
We choose the approach for each problem, from detection models trained on your images to general-purpose multi-modal models, based on accuracy, speed and cost.
Document AI and OCR
Invoices, IDs, forms and handwritten notes turned into structured data.
Quality inspection
Spotting defects on production lines from camera images.
Video analytics
Counting, tracking and safety monitoring on live or recorded video.
Visual search and cataloguing
Tagging product images automatically and finding similar items.
How we deliver
From first call to production
- 01
Collect and label
We gather sample images or video and define the labels and edge cases that matter.
- 02
Train or adapt models
We fine-tune detection or segmentation models, or use vision-language models where they fit better.
- 03
Validate in real conditions
We test against real lighting, angles and document quality, not just clean samples.
- 04
Deploy
We run models in the cloud, on-premises or on edge devices, with monitoring.
Technology we use
- PyTorch
- TensorFlow
- Hugging Face
- OpenAI
- Python
- Docker
- AWS
- Azure
FAQ
Questions about computer vision
How many images do we need?
It depends on the task and how varied your images are. Starting from pre-trained models, many projects need hundreds of labelled examples rather than tens of thousands.
Can it run on devices without internet?
Yes. Models can be optimised to run on edge hardware next to the camera, which keeps latency low and footage on site.
Can you read handwriting or poor-quality scans?
Often, yes. We test on your real documents early so you know the expected accuracy before we build the full pipeline.
What about privacy for images of people?
We can blur faces, avoid storing raw footage and process data inside your own environment, depending on your requirements.
Free consultation
Talk to us about computer vision
Book a free 60-minute strategy session. We'll look at your use case, check feasibility and recommend an approach.
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