Prime Intellect

The compute and infrastructure platform for you to train, evaluate, and deploy your own agentic models

Prime Intellect gives researchers and startups the compute and infrastructure to train, evaluate, and deploy their own agentic models. The company calls its offering an open superintelligence stack: an integrated set of compute, training, inference, and sandbox services that you access through a CLI installed with pip.

Three pieces are laid out on the site. RL Environments let you turn any task into a reinforcement learning environment, built on the open-source Verifiers library, with one loop to init, develop, eval, and push; the Hub holds more than 2,500 community environments. Hosted Evaluations benchmark your models against over 100 open-source models with no infrastructure to set up and a public leaderboard. Hosted Training runs large-scale models optimized for agentic workflows across those same environments. A newer Prime Agent product is also introduced. In this directory it falls under research tools, and its backers listed on the site include Founders Fund and NVIDIA.

The listing describes a free tier with paid plans, while the site itself points to a start-training sign-up and a book-a-call option without a public price list. Teams that want to post-train self-improving agents on their own environments are the intended users; start with the CLI and the environment hub.

Category: Research. Pricing: freemium. Visit website

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