Vincent Weisser and Johannes Hagemann
The next frontier of AI isn’t models that ship once, it’s agents that improve continuously through experience. Reinforcement learning is becoming the engine of that progress, yet running the full loop of training, evaluation, deployment, and retraining still requires infrastructure most teams can’t build and only a few closed labs possess.
Prime Intellect is building the open stack for self-improving agents. Its platform integrates distributed compute, RL post-training, environments, evals, and inference into a single system — closing the loop from production data back into training. Where the industry treats frontier-scale training as a privilege of the few, Prime Intellect is turning it into open infrastructure anyone can build on.
