RL infrastructure
for agent training
We believe in a future where agents are lifelike. They will see, hear, and collaborate with us. RL infrastructure is key to unlocking this future.
To start, we have two goals.
A scalable foundation
Building the training grounds for the next generation of AI. Our infrastructure enables massive-scale reinforcement learning environments that mimic the complexity of the real world.
Human-aligned reward models
Ensuring that agents learn from human feedback effectively. We are developing novel algorithms to align agent behavior with human intent through natural interaction.
Try our research preview.