Industrial-grade agentic AI platform for enterprise operations
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
US
Pricing model
Paid
Not given
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
Prebuilt skills and workflow patterns for fast deployment
Context-aware AI using operational and system signals
Governed execution with guardrails, approvals, and audit trails
Enterprise-grade security with SOC 2 Type 2, GDPR, and HIPAA compliance
Integration with 65+ applications
Natural language agent creation and monitoring
Event-triggered and schedule-based agent orchestration
LLM adaptation to business data
API and client libraries for custom integrations
Support for multiple industries and use cases
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
Industrial-grade platform built for mission-critical enterprise environments
Context-aware decision-making using operational data across systems
Governed autonomy with guardrails and audit trails for safe scaling
Seamless integration with 65+ enterprise applications
Fast deployment with prebuilt skills and workflow patterns
IFS Loops