Prescriptive Systems
A decision engine scoped to one decision your operation repeats — its constraints, its objective, the action it returns. Sized to a decision, not to a department.
The Work Behind The Systems
Five lines of work, one engagement. Most begin with a simulation of the operation as it runs today, and end with a system your own team can audit and extend.
Operational Simulation
A working model of the operation, delivered as something your team can run experiments against. Move a constraint, a shift pattern, a maintenance window, and read the cost before committing to it.
Enterprise Integration
The engineering of reaching your systems: connectors, event flows and write paths into the ERP, queues and approval steps already in use — built to your audit requirements rather than around them.
Sovereign Deployment
A single-tenant deployment into your private cloud or onto hardware you own, with provisioning, isolation boundaries and runbooks. Your team can operate it without us in the room.
Applied AI Research
Model R&D against your problem, with the evaluation designed before the model. What survives your data goes to production; what does not is written up and closed.
Research is not a separate department
Applied research sits inside delivery rather than beside it: the methods that reach production are the ones that survived a real operation's constraints, and the ones that do not are why the others work.