CoreWeave, a cloud infrastructure provider specializing in high-performance computing for AI model training, has agreed to acquire OpenPipe, a two-year-old startup backed by Y Combinator that focuses on helping enterprises build customized AI agents using reinforcement learning. The acquisition was announced on Wednesday. “Reinforcement learning is emerging as a pivotal force to strengthen model performance on agentic and reasoning tasks,” said Brian Venturo, co-founder of CoreWeave, in a statement to TechCrunch. “By combining OpenPipe’s advanced self-learning tools with CoreWeave’s high-performance AI cloud, we’re expanding our platform to give developers at AI labs and beyond an important advantage in building scalable intelligent systems.” The financial terms of the deal were not disclosed. OpenPipe, based in Seattle, raised $6.7 million in a seed round in March 2024, with investors including Costanoa Ventures, Y Combinator, Logan Kilpatrick from Google DeepMind, Tom Preston-Werner, co-founder of GitHub, and Alex Graveley, co-creator of GitHub Copilot. This acquisition is CoreWeave’s latest move to expand its footprint across the AI stack. It follows the company’s March purchase of Weights & Biases, an AI development platform. OpenPipe’s flagship offering is ART (Agent Reinforcement Trainer), an open-source toolkit that enables developers to train AI agents through reinforcement learning—where models are rewarded for correct behaviors and iteratively improved. As AI labs and startups increasingly focus on building specialized agents tailored to specific business needs, the demand for reinforcement learning tools has surged. These systems require substantial computational power, making CoreWeave’s infrastructure a natural fit for powering such workloads. With the acquisition, OpenPipe’s team will join CoreWeave, and existing OpenPipe customers will transition to CoreWeave’s platform. The move strengthens CoreWeave’s position not only as a provider for major AI labs like OpenAI but also as a service provider for smaller enterprises looking to deploy intelligent, task-specific AI agents.