Quant Neolab building self-improving agents from quant data
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.
What they do:
The platform for building and operating time series applications.
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HQ: New York, NY, United States
What they do:
Platform and marketplace for RL environments and AI data
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HQ: San Francisco, CA, United States
What they do:
Hill-climb any benchmark, for any model, in any domain.
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HQ: San Francisco, CA, United States
What they do:
Reinforcement Learning (RL) for AI Agents
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HQ: San Francisco, CA, United States
What they do:
Reasoning Fine-Tuning
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HQ: San Francisco, CA, United States
What they do:
We turn company data into training data
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HQ: San Francisco, CA, United States
Quant Neolab building self-improving agents from quant data
San Francisco, CA, United States
2 employees, according to the company profile.
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