Governance-first security framework for autonomous AI systems
Stage
Not given
Startup
Founded
Not given
2026
Based in
US
Not given
Pricing model
Paid
Open source
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
Constitutional governance charter with 11 articles defining AI autonomy boundaries
ATX-1 threat matrix taxonomy for agentic AI systems
Python runtime implementation of AGP-1 for policy evaluation
TypeScript and Python SDKs for governance integration
Federation protocol for cross-domain AI governance
AEGIS Initiative