
Olam Labs
Evaluating models for behavior and performance through simulated games
San Francisco , US
Artificial Intelligence
Reinforcement Learning
Gaming
Data Engineering
Evaluating models for social behavior, safety, and performance through multi-agent simulated games. We use popular games like Catan, Risk, or Poker, and make humans come play them against talking AI opponents, but on the backend we're actually running a multi-agent environment used to evaluate the models for skill and behavior over large sample sizes.
You can play in Social Arena and view our preliminary benchmarks today at https://olamlabs.ai/
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Create Your First ProjectFounded2026
Team Size2
LocationUS
Websiteolamlabs.ai
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