Applied AI & Computer Vision
Custom computer vision and applied ML models trained on your data, for your specific problem.
When off-the-shelf models aren't enough, we build custom computer vision and applied ML models — defect detection, document/image classification, OCR pipelines, predictive maintenance — trained and validated on your own data.
How we work
Scope the problem and label the data → Train and evaluate candidate models → Optimize for your latency/accuracy tradeoffs → Deploy to edge, cloud, or on-prem as needed.
Benefits & deliverables
- ✓ Models trained and validated on your own data
- ✓ Deployment to edge devices, cloud, or on-prem
- ✓ Accuracy benchmarks you can defend to stakeholders
- ✓ Ongoing retraining as your data evolves
Technology we use
PyTorch
TensorFlow
OpenCV
YOLO
Hugging Face
NVIDIA Triton
Frequently asked questions
Yes, data labeling strategy and tooling is typically the first phase of these engagements.
No — we deploy to whatever fits: cloud, on-prem, or edge devices, depending on latency and privacy needs.