A digital population for every big decision

🏛️ Central government How would different minimum wage options affect employment and demand?

Test policies, products, and services on behaviourally realistic virtual populations before rollout.

Test policies and products on virtual populations before rollout.

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Agent Profile

Age -

Occupation -

Income -

Current Activity -

Behavioural Profile

Loss Aversion -

Discount Factor -

Risk Tolerance -

Every person, household, and firm

Our simulations represent millions of unique agents, each with their own behavioural traits, circumstances, and decision-making patterns.

Where Simtropy helps

Housing & Local Development

Housing mix, affordability policies, regeneration schemes, and neighbourhood impacts.

"What happens if we change housing allocations or add affordable units in specific areas?"

Public Health & Social Care

Behaviour change, service access, and capacity planning.

"Which interventions improve uptake?"

Economic & Social Policy

Tax, welfare, and labour market interventions.

"How do benefit designs affect households?"

Retail & Customer Behaviour

Pricing, loyalty schemes, and product mix.

"How do changes affect retention and spend?"

Financial Services & Inclusion

Credit policies and support for financial stress.

"How do fee changes impact customer groups?"

Infrastructure & Mobility

Low-emission zones and new transit options.

"How do changes affect travel patterns?"

A virtual test lab for decisions

Behaviourally realistic simulations

We model how real people and firms make decisions, including habits, biases, and social influences, not idealised rational agents.

Dynamic, system-level outcomes

See how impacts evolve over time, with feedback loops and interactions across services, sectors, or whole regions.

Practical for real decisions

Outputs feed directly into options appraisal, business cases, evaluations, and stakeholder communication.

Set up your decision

In Simtropy, you're guided through a few steps to capture the decision you're considering: what you want to change, who it applies to, and the outcomes that matter – for example affordability, uptake, or congestion.

Design scenarios

Combine data and key assumptions to create a small set of realistic options, alongside a "do nothing" baseline for comparison.

Simulate behaviour over time

The simulation engine models how individuals, households, and firms respond under each option, including feedback loops and knock-on effects.

Measure impacts and trade-offs

Compare outcomes across places and groups, then use the results directly in business cases, evaluations, and strategic decisions.