CoreWeave Forge aims to speed up the AI improvement loop
Enterprises racing to put agents into production are learning that the AI improvement loop never really ends. Agents must be run, observed, evaluated and improved continuously. CoreWeave Inc. has been assembling a full-stack platform aimed at agentic AI. Its Forge offering is intended to give business units and machine learning teams a shared workflow, according […] The post CoreWeave Forge aims…
CoreWeave Inc. has developed a full-stack platform called Forge to streamline the AI improvement loop for businesses. The AI improvement loop consists of five stages: run, observe, curate, improve, evaluate, and repeat. The objective is to accelerate the transition from the initial agent to the best possible agent. Susanne Seitinger, CoreWeave's vice president of product marketing, explained that Forge consolidates disparate elements so that various teams can communicate more effectively.
The platform's key features include Agent Lens, which enables teams to observe agents' behavior, Registry models for checkpoints and agent configurations, RL Rollouts and model distillation for improvement, and CoreWeave's AI Research and Iteration Agent, ARIA, which aids users in identifying patterns. The company is also introducing a partner network consisting of tested, co-engineered integrations to offer more recipes, playbooks, use cases, and solutions to help businesses achieve value faster.
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