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.

Image: CoreWeave