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 during beta: up to 1,000 responses per month
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
Customizable React form components
Spam filtering and response screening
Company enrichment for each response
Multi-step forms that save progress
Send to Slack, email, webhooks or Postgres
Response versioning
Read responses from terminal
Fit scoring for leads
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
Built for coding agents to set up and modify like code files
Open source npm package under MIT license
Forms live in your site's code, not separate tools
Mirio