Hard Problems. Working Answers.

A vision model that recognises leaf diseases from one smartphone photo and suggests what to do next - so growers can act before an outbreak spreads.

A deep-learning model that reviews X-rays and scans, highlights probable conditions with confidence scores and shows clinicians the regions behind each finding.

Webcam-based proctoring that watches for suspicious behaviour as it happens and produces an evidence-backed report for every candidate.

A language platform that reads reviews, social posts and feedback, measures sentiment and emotion for each product aspect, and presents the results as dashboards teams can act on.

A machine-learning model that risk-scores every transaction and raises live alerts - built to perform even when genuine fraud is a tiny fraction of the data.

An intrusion detection model that inspects network traffic, tells ordinary activity apart from hostile behaviour and alerts security teams the moment something is wrong.

An in-cab camera system that tracks a driver's eyes and facial cues and sounds an alert as soon as signs of fatigue appear.