Prime Intellect

Prime Intellect provides infrastructure for researchers, startups, and enterprises to train, deploy, and improve their own AI models. Its Lab platform supports reinforcement-learning post-training, alongside hosted evaluations, execution sandboxes, and a GPU compute marketplace. Teams can turn tasks into training environments, evaluate agents, and serve customized models through dedicated or serverless inference, including LoRA adapters. Ramp used Lab to train a subagent that finds answers inside spreadsheets.

Co-founded by Vincent Weisser, its CEO, and Johannes Hagemann, Prime Intellect also develops open-source training infrastructure. Its OpenDiLoCo framework implements and scales DeepMind’s low-communication method for distributed training across geographically separated hardware. Its Verifiers library separates task definitions and scoring from agent execution programs and runtimes, allowing compatible agents to share evaluation and training tasks. Together, these contributions address both distributing computation and reusing the environments that guide model improvement.

Customers pay for hosted tools, while the platform offers modular access to individual parts of the stack. In July 2026, the company reported more than 6,000 customers and over $100 million in annualized revenue run rate across its offerings. It also announced a $130 million Series A led by Radical Ventures, bringing total funding above $150 million. Its commercial services use the same infrastructure the company employs to train its own open models.