Simulation & modelling
Agent-based and mechanistic models that make complex systems legible and testable.
Data & modelling consultancy
We work at the technical end of complexity science and health data — simulation, epidemiology, health economics and scientific software. Emergent order from many individual agents, which is both what we study and how we work.
What we do
Eight core capabilities, combined per contract into the exact configuration a problem demands.
Agent-based and mechanistic models that make complex systems legible and testable.
Robust pipelines and infrastructure that turn messy source data into analysis-ready foundations.
Statistical and computational analysis that holds up to scientific and regulatory scrutiny.
Emergence, networks and non-linear dynamics applied to real health and policy questions.
Disease transmission, burden and intervention modelling grounded in the evidence.
Cost-effectiveness and decision-analytic modelling to inform investment and policy.
Privacy-preserving synthetic datasets that unlock development and sharing without exposure.
Performant, well-tested tools — with high-throughput modules where speed matters.
The operating model
Brightly coloured birds moving as one flock have no leader and no central plan — coordinated behaviour emerges from many individuals following simple rules. That emergence is the subject of our science and the shape of our firm.
Rather than carrying a large payroll, we assemble exactly the right specialists for each contract. The result is senior-only teams, no bench to feed, and the flexibility to reconfigure for the next problem.
We compete for government and pharma contracts on the strength of our own track record and technical credibility.
Each contract is delivered through a curated network of expert friends and specialists in health-data analytics and complexity science.
Independent specialists, aligned around a single brief, produce one coherent, accountable body of work.
As the practice scales, trusted collaborators move onto payroll — the network becomes a team.
Who we work with
Public health bodies, agencies and departments needing rigorous, defensible modelling to inform policy and spending decisions.
Life-science organisations requiring epidemiological insight, health-economic evidence and synthetic data at the standard regulators expect.
Start a conversation
A short note is plenty. We'll read it properly and reply ourselves — no intake funnel, no bot.
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