Manufacturing quality control
Detect surface defects, dimensional anomalies, and assembly errors at line speed with sub-second inference.
Computer Vision
Custom vision pipelines for quality control, document understanding, and real-time detection.
By the numbers
99%+
Detection accuracy
30ms
Edge inference
2–5w
POC delivery
Use cases
Document intelligence
Extract structured data from invoices, forms, IDs, and contracts with high accuracy.
Object detection and tracking
Count, classify, and track objects in video feeds for retail analytics, security, or logistics.
Medical imaging analysis
Assist clinical review with anomaly detection and region-of-interest highlighting — HIPAA-aware.
Our approach
1. Data and task scoping
Define the visual task, collect or audit training data, and set accuracy and latency targets.
2. Model selection and training
Choose architecture (YOLO, ViT, custom CNN, etc.), fine-tune on your data, and benchmark against baselines.
3. Deployment
Ship to cloud inference, edge devices, or embedded hardware with optimisation for your latency requirements.
- ONNX, TensorRT, CoreML
- Jetson, Raspberry Pi, x86 edge
4. Monitor and retrain
Track accuracy drift, collect hard negatives, and retrain on a cadence.
Expected outcomes
Production-ready vision
Robust, monitored pipelines tested against your real-world data distribution.
Edge-ready
Optimised models that run on your hardware constraints — not just in the cloud.