EdotEnv
EdotEnv is a YC Summer 2026 (S26) company. Based in San Francisco, CA, USA. Team of 2.
About EdotEnv
Summary
EdotEnv builds reinforcement learning environments from financial market data to train agents toward recursive self-improvement. The company uses markets as a self-scaling research ground: as agents discover useful strategies, competition raises the difficulty, forcing continuous improvement. Its environments support hypothesis formation, experiment design, and iterative verification, replacing hand-crafted AI evaluation setups with a dynamic, self-escalating benchmark.
Go-to-market
Frontier AI labs and academic research groups are the primary customers, engaging EdotEnv to supply research harnesses, evaluation benchmarks, and post-training environments for their agent development work.
From the Y Combinator listing
A Quant Neolab building self-improving agents from quant trading
A Quant Neolab building toward RSI by leveraging markets as self-improving research environments. They work with frontier AI labs and academic groups building research harnesses, evaluation benchmarks, and post-training environments.
Facts
- B2B / B2B
- San Francisco, CA, USA
- 2
- Active
- Early
Founders (1)
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