Industries
Nine sectors, one standard of proof.
Deep technical expertise applied to the constraints of a particular industry. What changes between them is the regulatory bar, the data and the workflow. What does not change is how we validate.
Financial services
Risk, fraud and decisioning systems under audit, and the platforms that carry them.
Healthcare
Clinical and diagnostic systems, built to an intended use and through validation.
Manufacturing
Visual inspection, process optimisation and the instruments on the line.
Gaming
Intelligent behaviour, procedural content and real-time player analytics.
Logistics
Routing, scheduling and resource allocation as optimisation problems rather than dashboards.
Cybersecurity
Detection, response and digital forensics across the estate.
Energy
Weather and climate pipelines, forecasting and asset intelligence.
Retail
Demand, personalisation and the data platforms underneath them.
Insurance
Climate and catastrophe modelling, claims automation and portfolio analytics.
How we engage
The same four stages, whichever sector.
- Discovery
- A short paid engagement ending in a written technical position: what we would build, what we would not, the risks and the cost.
- Build
- Named team, fixed cadence, code and design in your repository from the first commit.
- Transition
- Handover to your team, or continued operation under an agreed service level.
- Team location
- Toronto, Hyderabad, or split. Regulated work is staffed to the residency requirements of the data.
Talk to someone who has built in your sector.
Tell us the constraints. The design follows from those.