Intelligence for a simulated world.
Public data describes populations one column at a time. Cambium AI puts the people back, so any team can ask about who actually exists, not averages or assumptions.
AI models are converging. We measured it.
Frontier models are converging on the same safe answers, and the variety that makes them useful for anything creative is disappearing. We measured the drop. A model asked to imagine people now imagines the same few people. So we stopped asking it to imagine, and gave it real ones instead.
less creative diversity in the newest models than the previous generation
We ran the same 25 questions through 11 frontier models, 34,124 answers in all. Between GPT-4.1 and GPT-5.5 the variety in those answers fell by 71%.
Read the methodologyWe give AI something today’s models don’t have: real populations.
Instead of asking an AI to imagine people, we reconstruct them from public data. We join 200+ public datasets into their real structure, so every synthetic person is built from details that actually occur together.
Millions of realistic individuals your AI can reason with.
Statistically accurate synthetic populations
Millions of realistic people generated from 200+ public datasets.
Population synthesis engine
Rebuilds individuals from aggregates, restoring the links a summary throws away.
AI-ready reasoning layer
Connect statistically accurate populations directly into your AI workflows.
Enterprise deployment
Deploy synthetic populations securely across research, products and decision-making.
The winners of the next decade won’t just move fast. They’ll make the right decisions, faster. That’s why we built Cambium.
About CambiumGet started today
Ready to reason about real people?
Stop asking AI to imagine your audience. Start with populations reconstructed from verified public data.