A private System One Decision AI that runs locally
Stage
Not given
Beta
Founded
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Based in
US
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Pricing model
usage-based
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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.
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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
Non-autoregressive with no free text generation
Multi-question call support in a single forward pass
Bounded output within supplied candidate set
Calibrated probabilities without temperature fitting
Local inference as a Rust binary executable
Deterministic inference with reproducible results
Support for choice, score, and yes-no decision types
CPU, Apple Metal, and CUDA hardware support
Trainable on your own decisions locally
What makes it different
Built by creators of Ray, the world's most widely adopted AI compute engine