Project use cases

Real problems, solved with production AI systems. Here are some of the projects we're most proud of.

Nuclear fusion

Thermonuclear reactor plasma control

Challenge

Keeping fusion plasma stable and efficient is a high-dimensional control problem with unforgiving physics.

Solution

Reinforcement-learning control strategies trained in simulation and validated against real reactor dynamics.

Outcome

Control policies that improve plasma stability and push toward higher fusion efficiency.

Automotive

Smart-car ADAS & driver scoring

Challenge

A car-sharing fleet needed to identify and assess dangerous driving behaviour, on the edge, in real time.

Solution

On-device computer vision plus a robust driver-scoring model running within the vehicle.

Outcome

82% accuracy driver scoring, improved accountability and reduced accident frequency.

FinCrime

Automated financial investigation system

Challenge

Analysts were drowning in transactions and manual case assembly for suspicious financial activity.

Solution

A graph analytics + LLM pipeline that surfaces suspicious flows and drafts investigator-ready case files.

Outcome

Faster investigations and consistent, auditable case files with a human always in the loop.

Agents

AI employees that speak and act

Challenge

Businesses wanted to automate real workflows, not just answer FAQs.

Solution

Autonomous agents that hold natural conversations and take real actions inside business systems, with guardrails.

Outcome

AI 'employees' that handle end-to-end tasks while staying observable and controllable.

Wearables

Neurofeedback bands for emotional control

Challenge

Helping people read and regulate their emotional state from a comfortable, affordable wearable.

Solution

Dry-electrode EEG + HRV signal pipeline and a quantized on-device emotion model closing a real-time neurofeedback loop.

Outcome

A private, production-grade band with multi-day battery and instant, on-device feedback.

Geo sensing

Geo & remote-sensing intelligence

Challenge

Turning vast streams of satellite and aerial imagery into reliable, up-to-date intelligence about terrain, infrastructure and change.

Solution

Segmentation and change-detection models over multi-spectral and aerial data, with a pipeline that flags what changed and where.

Outcome

Automated monitoring that replaces manual photo-interpretation and surfaces changes analysts would otherwise miss.

Want the full neurofeedback write-up? Read the detailed case study →