Mathematical expertise for complex decisions.
We develop models, algorithms and software for teams working with limited capacity, uncertain information and demanding technical requirements.
Five services, each with a concrete deliverable.
Optimization
Allocate resources, recover schedules and improve routing across complex operations.
- Methods
- Mathematical programming, combinatorial optimization, network models
- Deliverables
- Scheduling and allocation engines, recovery plans and comparisons of cost, capacity and service.
Simulation
Test changes to a process before committing equipment, capital or operating time.
- Methods
- Discrete-event simulation, Monte Carlo, dynamical systems
- Deliverables
- Scenario models that reveal bottlenecks, capacity needs and the effects of disruption.
Mathematical modelling
Translate physical, economic and operational relationships into models that explain system behaviour.
- Methods
- Differential equations, inverse problems, numerical analysis
- Deliverables
- Models for engineering analysis, parameter estimation and the comparison of design alternatives.
Decision intelligence
Connect forecasts and uncertain data to decisions about capacity, investment and operations.
- Methods
- Statistical inference, risk analysis, decision-focused learning
- Deliverables
- Decision tools that compare likely outcomes, expose downside risk and show when a recommendation changes.
Research prototyping
Turn a research question into a working algorithm, numerical experiment or software prototype.
- Methods
- Scientific computing, algorithm development, machine learning
- Deliverables
- Documented prototypes and technical evaluations that support an engineering or investment decision.
A focused engagement for your team.
Commission a technical assessment, a working prototype or a decision tool. We define the scope, deliverables and evaluation criteria together.