Blockchain and AI platform engineering for digital asset infrastructure
Stage
Not given
Not given
Founded
Not given
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Based in
US
IN
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
Equity tokenization platforms
End-to-end platform development
Security-first engineering with audit readiness
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
Production-ready enterprise-grade infrastructure for digital asset operations
Deep expertise in both blockchain mechanics and business applications
AI-integrated financial platforms with intelligent automation
Specialized focus on fintech, exchanges, and digital asset infrastructure
Security-by-design approach with enterprise compliance focus
Blocsys