Enterprise AI infrastructure for building, deploying, and governing agentic AI in systems teams already use
Stage
Not given
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Founded
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Based in
US
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Pricing model
Paid
Contact for pricing
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.
Not given
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
100+ data and AI connectors
Natural language workflow builder
Integration with Salesforce, Dynamics 365, ServiceNow, Slack
Zero trust authentication and authorization
Role-based access control
Full audit trails and traceability
Real-time analytics and feedback
VPC and on-premises deployment
Intelligent model routing
Data pipeline and model monitoring
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
Enterprise-grade governance with traceability when AI fails
Accelerates time to production with natural language workflow configuration
Purpose-built for regulated and complex environments
AISquared