| daily vehicle throughput | 0 |
| avg congestion index | 0% |
| peak hour delay | 0 min |
| emission reduction potential | 0% |
| simulation confidence | 0% |
| population | 1,240,000 |
| radius | 8.5 km |
| sector | urban mobility |
| cohort | commuters, 18 - 65 |
| horizon | 6 months |
| agents | 50,000 |
LARP deploys thousands of AI-driven agents — each shaped by 100+ real demographic attributes — to simulate how entire populations respond to your decisions before you make them.
Traditional research is slow, expensive, and plagued by response bias. LARP is faster, cheaper, unbiased, and allows you to test scenarios that don't even exist yet.
Commercial & Consumer Behavior Engine
Public Policy & Regulatory Impact Engine
We use hundreds of real-world data layers to accurately recreate population sentiment, behavior, and decision-making patterns at scale.
Age, income, education, and household composition.
Regional values, trends, and societal norms.
Industry benchmarks, competitor presence, and market saturation.
Historical sales, brand perception, and CRM data.
Geospatial mapping, foot traffic, and urban density.
Personality traits, interests, lifestyles, and opinions.
Currently in early access for Croatia.