Do you train custom models?

Yes. We train custom models when off-the-shelf solutions don't meet your accuracy requirements. We also fine-tune foundation models (CLIP, SAM, YOLO) for faster development.

Can you deploy to edge devices?

Yes. We optimise models for edge deployment using ONNX, TensorRT, and CoreML for on-device inference on cameras, mobile devices, and embedded hardware.

How much training data do we need?

It depends on the task complexity. For basic classification, a few hundred labelled images may suffice. For detection and segmentation, we typically need 1,000+ annotated samples. We help with data collection and annotation strategy.

How do you handle model accuracy degradation?

We implement continuous monitoring for accuracy drift, automated alerts when performance drops below SLOs, and retraining pipelines that incorporate new data to maintain quality.

Service/Healthcare

Computer Vision Services

See what your data shows — automate visual inspection, recognition, and analysis.

We build computer vision systems for image classification, object detection, OCR, document processing, and visual quality inspection. From model training to edge deployment, we ship production-ready vision pipelines with confidence scoring and human review loops.

Book a Discovery Call See case studies

Key outcomes

Automated visual inspection replacing manual review
Real-time object detection and classification in production
Document digitisation with high-accuracy OCR

Delivery speed

AI-speed delivery

Vision pipeline architecture and data strategyModel training, fine-tuning, or foundation model integrationInference pipeline (cloud or edge deployment)Confidence scoring and human review interfaceMonitoring and drift detection dashboardsVision pipeline architecture and data strategyModel training, fine-tuning, or foundation model integrationInference pipeline (cloud or edge deployment)Confidence scoring and human review interfaceMonitoring and drift detection dashboards

Who it's for

Built for teams that need this now

This service was designed around a specific kind of problem. If any of these sound like your team, you're in the right place.

Manufacturing and QA teams

Needing automated visual inspection and defect detection on production lines

Document processing teams

Requiring OCR, document digitisation, and form extraction at scale

Product teams adding visual AI

Wanting image classification, recognition, or visual search in their applications

Common triggers

Signs you need this

Most teams come to us after one of these moments. Recognise any of them?

Manual visual inspection is slow, inconsistent, and doesn't scale

You need to digitise and extract data from thousands of documents

Your product needs image recognition or visual search capabilities

Quality control relies on human eyes and you're missing defects

You want to automate ID verification, receipt scanning, or document processing

Recognise two or more of these?

Let's talk - no commitment

30+

Products in production

“We treat every computer vision services engagement as a production commitment - not a prototype.”

- Thinkscoop Engineering

How we deliver

4 phases to production

Every engagement follows a structured delivery process with clear artifacts at each stage - so you always know exactly where you are.

Scope01

Vision Task Definition

Use case specification and requirementsData collection and annotation strategyModel architecture selectionHardware and deployment environment assessment

Build02

Model Development

Training pipeline with data augmentationCustom model training or foundation model fine-tuningInference pipeline (cloud or edge)Confidence scoring and rejection criteria

Validate03

Testing & Evaluation

Accuracy metrics (precision, recall, mAP)Edge case and adversarial testingPerformance benchmarks (latency, throughput)Human review comparison study

Deploy04

Production Deployment

Production inference service (API or edge)Real-time monitoring for drift and accuracyHuman review queue for low-confidence resultsRetraining pipeline and data flywheel

Questions

Straight answers

The questions we get asked most often. No marketing spin - just clear answers.

Ask us anything

What you get

Every deliverable, spelled out

Vision pipeline architecture and data strategy

Model training, fine-tuning, or foundation model integration

Inference pipeline (cloud or edge deployment)

Confidence scoring and human review interface

Monitoring and drift detection dashboards

Ready to get started?

Computer Vision Services starts with a 30-minute call.

No sales pitch. We'll scope your project, challenge assumptions, and tell you honestly if this is the right fit - before anything is signed.

Book a Discovery Call See relevant work