Computer Vision
Defect detection, OCR, document intelligence and visual analytics — deployed at the edge or in the cloud.
4–8 weeks
Vision systems that run where the work happens. We build inspection and document-understanding models, then deploy them on the factory floor or in your cloud depending on latency and connectivity. The engineering that matters is rarely the model: it is lighting, capture conditions, class imbalance and how the system behaves when it is unsure.
What this solves
- Manual visual inspection that is slow and inconsistent
- Documents being re-keyed by hand into systems
- Defects found after assembly rather than during
- Factory floors without reliable cloud connectivity
What you get
- Data collection and annotation pipeline
- Trained detection, classification or OCR models
- Edge or cloud deployment to match latency needs
- Confidence thresholds with human review for uncertain cases
- Integration into your existing line or document workflow
Technology
PyTorchTensorFlowOpenCVONNXEdge AIAWS SageMaker
Industries
Talk to the engineers who build it
Tell us the problem and we'll tell you whether computer vision is the right answer — and what it would take.