Detection, OCR and visual monitoring for industrial and operational workflows — deployed at the edge or in your cloud.
Computer vision systems for detection, OCR, monitoring and quality control — tuned to your environment and deployed where the cameras live.
Industrial safety and compliance
Production line quality control
Retail and logistics monitoring
Document and form extraction
Live video analytics with alerts
Labelled dataset (or labelling pipeline)
Trained model tuned to your environment
Edge or cloud deployment
Alerting and dashboards
Drift monitoring and retraining plan
Object detection, tracking and counting for operational and industrial workflows.
Structured data extraction from forms, invoices, IDs and scanned documents.
Defect detection on production lines, PPE and compliance checks from existing cameras.
Live video pipelines with alerting, dashboards and integration into your ops tools.
Define the visual task, the accuracy bar and the operational conditions (lighting, angles, throughput).
Choose model family, dataset strategy, deployment target (edge vs cloud) and integration points.
Assemble or label a representative dataset, train and validate against your accuracy bar.
Deploy at the edge or in your cloud, monitor for drift, retrain as conditions change.
Both. We work with existing IP cameras and CCTV feeds wherever possible, and recommend hardware only when the task requires it.
It depends on the task. We often start with a small labelled set, evaluate baseline accuracy, then decide whether to expand labelling or use synthetic / weak supervision.
Yes. We deploy quantized models on edge devices when latency, bandwidth or privacy demands it, and in the cloud when centralized analytics fits better.
We monitor for data drift and set up a retraining cadence, so accuracy holds as lighting, seasons or workflows change.
Book a technical call. We'll review your workflow, data, integrations and constraints, then recommend what is worth prototyping.
