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
Discover every AI model, agent and vendor across the enterprise
Govern AI policies mapped to NIST AI RMF, EU AI Act and ISO 42001
Prove compliance with real-time AI Cards and audit-ready attestation
AI Bill of Materials (AI-BOM) for complete system inventory
Third-party vendor AI assessment and continuous verification
SOC 2 Type 2 compliant and ISO 27001 certified
Continuous AI discovery and exposure mapping
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
One platform for the entire AI lifecycle instead of seven tools and seven dashboards
Independent vendor with no model to sell and no sides in the AI ecosystem
Trusted by Fortune 10 companies, global carriers and banks
Born from KPMG Studio with decades of combined AI and cybersecurity expertise
Continuous loop that automatically rediscovers and re-proves AI systems as they change
Cranium