CoreWeave launches ARIA agent to automate AI research and accelerate model development

CoreWeave debuts ARIA agent to automate AI research in Weights & Biases

CoreWeave debuts ARIA agent to automate AI research in Weights & Biases Artificial intelligence cloud operator CoreWeave Inc. today launched ARIA, an AI research agent built into the Weights & Biases platform. The agent reads experiment data and surfaces insights researchers might miss, then recommends ways to improve their models and agents. Short for AI Research and Iteration Agent, ARIA can work through thousands of experiment runs and tens of thousands of metrics in minutes. That is work researchers normally do by hand, building dashboards and writing one-off analysis notebooks before they ever get to the insight. The agent was built using W&B Weave, CoreWeave's agent development platform, whose agent-building capabilities reach general availability today alongside the launch. ARIA functions as a coding agent that joins a project the moment a researcher opens it in Weights & Biases. It reads runs, maps project structure and builds live visualizations to support its analysis. When it finds something, the agent does not return a block of text. Instead, it creates W&B workspaces, panels and reports, including heat maps for parameter sweeps, parallel coordinates plots for hyperparameter interactions and bar charts comparing configurations. Those dashboards update as new runs come in and are visible to the full team. The company is positioning ARIA around autonomous operation. It can run the research cycle on its own, forming hypotheses, launching experiments, evaluating results and recommending next steps around the clock. The agent also carries full project context into every conversation and can reach across projects and into teammates' experiments, surfacing patterns across hundreds of thousands of logged metrics. It is available in the W&B mobile app for monitoring runs on the go. CoreWeave is grounding the product in its operational history, powering large-scale AI training, which it says gave it visibility into how frontier labs and enterprise teams train and iterate. "Researchers are making rapid progress in model development, but their management tools have not kept pace," said Chen Goldberg, executive vice president of product and engineering at CoreWeave. "ARIA is how we close that gap. It's an always-on research collaborator that turns the experiment data teams are already generating into continuous, compounding improvement." The launch builds on CoreWeave's push to combine training, inference and observability through W&B Weave. The company acquired Weights & Biases in a deal that closed in May 2025 for about $1.4 billion, folding the experiment-tracking platform into a cloud business built around graphics processing unit capacity for AI workloads. Founded in 2017, CoreWeave completed its Nasdaq listing in March 2025. Nick Patience, vice president and practice lead for AI platforms at Futurum Group, said the bottleneck in AI development has shifted, with compute more accessible than ever while extracting actionable insight from experiment data at speed remains a persistent challenge. Tools that can autonomously analyze data and drive continuous improvement are becoming a more important part of how competitive AI teams operate, he said, adding that ARIA "reflects where the industry is heading." ARIA is available now in public preview, with CoreWeave pointing to deeper autonomous research capabilities on its roadmap.

CoreWeave Launches CoreWeave ARIA As An AI Research And Iteration Agent

CoreWeave announced the launch of CoreWeave ARIA (AI Research & Iteration Agent), an AI research agent built directly into Weights & Biases (W&B) by CoreWeave that reads experiment data, uncovers hidden insights, and drives continuous model and agent improvement. ARIA was built using W&B Weave, CoreWeave's agent development platform. W&B Weave's agent development capabilities also enter general availability. ARIA accelerates the AI research loop by closing the gap between analysis and action, turning the data teams already generate into a compounding engine for better models and more reliable agents. It analyzes thousands of runs and tens of thousands of metrics in minutes. ARIA is grounded in CoreWeave's deep operational history, with years of powering AI training at a scale that encompasses some of the largest and most complex models ever developed. CoreWeave's visibility into how frontier teams train, iterate, and optimize through nearly one billion runs and trillions of metrics tracked in Weights & Biases is what made ARIA possible and continues to fuel its development. The next frontier in AI development is moving beyond faster compute and now depends on faster iteration. Tools that can autonomously analyze, surface insights, and drive continuous improvement aren't a nice-to-have, they're becoming table stakes for any team serious about staying competitive. ARIA is designed to address this direction. ARIA is a coding agent that collaborates with researchers from the moment they launch a W&B project. It reads runs, understands project structure, and builds live visualizations to back up its analysis. The result: a dynamic visualization researchers need for analysis on the fly ? making it easier to take action and back up research findings. ARIA delivers the following core capabilities: Built for continuous improvement: ARIA powers the full research cycle, forming hypotheses, launching experiments, evaluating results, and recommending next steps. Models and agents keep improving as a result, so researchers spend their time on the problems only they can solve. Live dashboards: When ARIA surfaces an insight, it doesn't reply with a wall of text. It creates W&B workspaces, panels, and reports to back up its findings ? such as heat maps for two-dimensional parameter sweeps, parallel coordinates plots for hyperparameter interactions, and bar charts for comparing discrete configurations. These are live W&B dashboards that update as new runs come in, are visible to the full team, and are as configurable as anything built by hand. Full experiment context, already loaded: ARIA enters every conversation with the project already loaded. It can reach across projects and into teammates' experiments, surfacing patterns across hundreds of thousands of logged metrics that would be impossible to spot manually. Available on the go: ARIA is available in the W&B mobile app. Researchers can monitor runs, investigate results, and interact with it from anywhere. ARIA expands on CoreWeave's unified agentic AI capabilities, which connect training, inference, and observability through W&B Weave, by adding a research agent that surfaces patterns across large-scale experiment data in real time and turns analysis into continuous improvement. ARIA enters public preview, with a roadmap focused on deeper autonomous research capabilities. Open any project in Weights & Biases, click the agent icon in the sidebar, and get started. CoreWeave consistently delivers industry-leading performance, demonstrated by record-breaking MLPerf benchmark results in inference and training, its position as the only AI cloud to earn the top Platinum ranking in both SemiAnalysis ClusterMAX 1.0 and 2.0, and its #1 ranking for inference speed and price-performance for Moonshot AI?s Kimi K2.6 and Kimi K2.7 Code in independent inference benchmarking conducted by Artificial Analysis.