- Website
- cua.ai
About Cua
Cua helps teams scale computer fleets for agent training, evaluation, and data generation across Linux, Windows, macOS, and Android. It targets AI researchers, ML engineers, and ops teams who need parallel workloads and reproducibility at scale.
Key Features
Across multi-OS fleets, you run agent workloads in parallel for training, evaluation, and data generation. Snapshots let you fork experiments and reproduce failures, while warm pools scale resources up and down automatically:
Cross-OS Fleets
Boot Linux, Windows, macOS, and Android machines via local runtimes or Cua Cloud.
Warm Pools & Auto-scaling
Pre-booted machines respond in milliseconds and scale to zero when idle.
Snapshots & Reproducibility
Fork from snapshots to reproduce failures and capture agent activity as training data.
Background Drivers for Computer-Use
Send clicks and keystrokes to a chosen desktop window without moving the system cursor, enabling automated UI tasks.
Summary
Best for MLOps teams, AI research engineers, and QA/automation teams needing scalable agent simulations across multiple OS fleets.
