Cloud computer for every agent, with your tools and team.
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
NO
Pricing model
Paid
Freemium
Pricing
Usage-based pay-as-you-go pricing with hourly compute charges; committed contracts available for volume discounts. Hosted option with Anyscale-managed infrastructure or Bring Your Own Cloud deployment available.
Free: $10 monthly usage credit. Pro: $20/month for $100 monthly usage credit. Max: $100/month for $500 monthly usage credit. Enterprise: custom volume pricing. All plans include 5× usage credit for model calls at provider's API price with no markup. Pay-as-you-go top-ups available.
Key features
Multimodal data curation at scale
Distributed model training with elastic scaling
Batch embedding generation at scale
Multi-cloud deployment and orchestration
Cluster-backed development environments
Workload-specific observability and debugging
Production-grade managed Ray clusters
Access control and governance
GPU budget controls and cost attribution
Post-training with SkyRL and veRL support
Each agent gets its own dedicated computer in the cloud
Agents keep working after you close your laptop
Run many tasks in parallel, each on its own computer
Encrypted vault for credentials and secrets
Connect tools once, all agents can use them
Support for any AI model including your own subscriptions
Multiplayer chats teammates can continue
Scheduled recurring work on a schedule
Approval controls for risky actions
Start tasks from Slack, web app or phone
What makes it different
Built by creators of Ray, the world's most widely adopted AI compute engine
Multi-cloud deployment without code changes
Feels local but runs distributed
Unified GPU pooling across clouds and regions
Open source under Apache 2.0, self-hostable or run on managed cloud
Same harness works for team agents, software development automation, and embedding in your product
No markup on model API costs; credits give 5× value
Agents run real terminal commands, tests and git operations
Teams share one workspace with shared integrations and role-based access
Opengeni