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Olam Labs

Olam Labs is a YC Summer 2026 (S26) company. Based in San Francisco, CA, USA. Team of 2.

  • Artificial Intelligence
  • Reinforcement Learning
  • Gaming
  • Data Engineering

About Olam Labs

GPAgent's own fund-neutral profile, written from public information. Updated Oct 4, 2026.

Summary

Olam Labs builds multi-agent simulation environments for evaluating and training AI models on character and agentic behavior, work that current benchmark datasets handle poorly. The company works with frontier AI labs and researchers, running models through complex simulated worlds where social strategy and real-world reasoning can be measured and improved. Its public platform, Multi-Agent Arena, pits humans against multiple AI agents in social strategy games and generates the behavioral datasets that power those evaluations.

Go-to-market

Frontier AI labs and researchers are the buyers, engaged directly through a research and evaluations workflow. Multi-Agent Arena serves as a live data-generation engine and a proof point that draws that technical audience in.

From the Y Combinator listing

How Olam Labs describes itself in Y Combinator's public directory.

Building multi-agent simulations for model evals and training.

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.

Facts

Industry
B2B / B2B
Location
San Francisco, CA, USA
Team size
2
Status
Active
Stage
Early

Founders (2)

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