Olam Labs

ActiveAI-native

Building multi-agent simulations for model evals and training.

What it does

Multi-agent environments let us evaluate and train models in complex, simulated worlds. We work with researchers on both evaluations and training for character and agentic performance typically difficult to assess for using current popular datasets. Play one of our first releases, Multi-Agent Arena (https://olamlabs.ai/arena), where humans come play social strategy games against multiple AI agents. It's currently top 50 on OpenRouter and has thousands of matches played each day. We use Multi-Agent Arena to build datasets on agentic performance and real-world socialization.

Its site says now · captured 2026-08-23

Olam Labs — Multi-Agent Arena

Olam Labs measures social intelligence in AI models for safety, agent performance, and real-world use, through behavioral evaluations in multi-agent simulations where models cooperate, deceive, and negotiate.

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