Build
Turn images, scans and paperwork into structured, usable data.
Visual inspection, object detection, OCR and intelligent document processing that read the world as reliably as your best people, at scale.
Overview
Computer Vision & Document Intelligence
Invoices, contracts, claims, medical forms, product photos, production-line footage: much of the information businesses depend on is visual or unstructured.
We build vision and document AI that extracts what matters, flags what is unusual, and integrates the results directly into your systems.
Problems we solve
- Manual data entry from PDFs, scans and photographs
- Inconsistent visual quality inspection across shifts
- Slow, error-prone review of contracts and claims
- Valuable archives of documents that cannot be searched
What’s included
A complete engagement, end to end.
Document extraction
Field-level extraction from structured and free-form documents.
Classification & routing
Automatic sorting of mixed document batches by type and priority.
Visual inspection
Defect detection and measurement models for production lines.
Edge deployment
Optimised models running on cameras and on-site hardware.
Review interface
A clean workspace for people to verify low-confidence results.
Continuous learning
Corrections feed back into regular model improvement cycles.
Process
How the work unfolds.
Phase 1
Sample
Collect representative documents or images, including edge cases.
Phase 2
Label
Efficient annotation with your subject-matter experts.
Phase 3
Train
Fine-tune and benchmark models against accuracy targets.
Phase 4
Integrate
Connect outputs to downstream systems with a human review step.
Technology
Tools we use, chosen on merit
Vision
- PyTorch
- OpenCV
- YOLO-family detectors
- Segmentation models
Documents
- OCR engines
- Layout models
- Vision-language models
Deployment
- ONNX Runtime
- TensorRT
- Edge devices
Sample outcomes
What clients typically see
- 97%
- Field-level extraction accuracy on invoices
- 8×
- Throughput increase in claims intake
- −45%
- Defects reaching customers after visual QA
Illustrative results from past engagements. Outcomes vary by context.
FAQ
Common questions
How many sample documents do you need?
Often a few hundred representative examples are enough to start, thanks to modern pre-trained models.
Can it handle handwriting and poor scans?
Yes, within limits. We measure accuracy on your worst real-world samples and set confidence thresholds accordingly.
Can processing stay on-premises?
Yes. Models can run entirely within your network for sensitive documents.
What formats are supported?
PDF, TIFF, JPEG, PNG, email attachments and live video streams.
Let’s discuss your project.
Tell us what you want to achieve with computer vision & document intelligence. A senior consultant will reply within one business day.