Forward-deployed AI systems, built and run for you
Stage
Not given
Not given
Founded
Not given
2023
Based in
US
Not given
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
Integration with existing enterprise systems
AI-driven insight generation
Automated workflow execution
Policy enforcement and governance
Continuous learning from operational data
Secure deployment within customer environments
Single-tenant deployments on-prem or VPC
Explainable and auditable outputs
SOC 2 Type II and ISO 27001 certified
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
Custom AI systems built for your specific business logic and data, not off-the-shelf software
Creates proprietary competitive advantage your competitors cannot replicate
Enterprise-grade security and governance from day one
Continuous operating accountability after deployment