Running experiments is no longer the hardest part of AI research. Keeping up with thousands of runs, millions of metrics, and constant switching between tools and teammates is. CoreWeave ARIA is an AI research agent that learns from your experiments to improve model and agent performance, and it keeps working while you're away.
What you'll see
- Results worth your attention. ARIA flags the most interesting experiment results and recommends what to try next.
- Run-to-run comparison that explains why. ARIA compares evaluations, traces, prompts, configs, datasets, and metrics across runs. It shows the differences that matter, explains trade-offs, and uncovers hidden patterns behind why a run succeeded or failed.
- A workspace that organizes itself. ARIA builds dashboards, sets filters, and generates visualizations, so your research stays structured as experiments scale.
- Autonomous iteration. While you're away, ARIA generates hypotheses, modifies configurations, launches evaluations, and compares outcomes. It keeps what improves performance and drops what doesn't.
- Answers when you return. You come back to a clear view of what improved, what regressed, and what's most worth investigating next.
Why it matters:
ARIA analyzes thousands of runs and tens of thousands of metrics in minutes, connecting analysis to action. Your team spends less time on manual work and more time moving research forward.
