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Abundant

Agent simulation and RL for researchers

Y CombinatorFall 2024ActiveB2BAIOpsArtificial IntelligenceAPIAI

What they do

Problem

AI labs and enterprises need high-quality simulation environments and datasets to train reinforcement learning systems safely and reliably at scale.

Solution

Abundant builds agent simulation environments and generates RL training datasets using simulation expertise, model training pipelines, and a network of domain experts.

Who it's for

AI researchers, frontier AI labs, and large enterprises training and deploying reinforcement learning models.

Founders

Jesse Hu
Founder

Working towards an abundant future. ex-Waymo ML engineer.

Meji Abidoye
Founder

datum.

Ke Huang
Founder

make shit happen!

Open roles 4

Chief of Staff (Future Founder/VC)
San Francisco · Full-time · $100K - $145K · 0.10% - 0.50%
Apply ↗
Member of Technical Staff, Platform Engineering
San Francisco · Full-time · $135K - $220K · 0.50% - 1.00%
Apply ↗
Member of Technical Staff, Research
San Francisco · Full-time · $135K - $350K · 0.10% - 1.00%
Apply ↗
Research Product Manager (RPM)
San Francisco / Remote (US) · Full-time · $120K - $285K · 0.10% - 1.00%
Apply ↗

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