A workspace for projects, decisions and money that every agent reads and updates
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Paid
Free
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
Connect coding agents via MCP protocol (Claude Code, Cursor and others)
Centralized project tracking with decisions and money
Audit trail with every change signed and undoable
Approval controls for money, deletions and key access
Learning system that reduces approval requests after 10 similar actions
Team collaboration with email invitations and role-based access
Built-in Slash assistant with 20 questions per month on free plan
1,000 automation runs per month on free plan
Full data export available anytime
Sealed backups every night with secure key storage
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
Works with any agent that speaks MCP protocol, not vendor-locked to one tool
Integrates work tracking and financial management in one place agents automatically read
Full audit trail and undo capability for every change
Learns from agent behavior to reduce approval overhead over time
Free tier includes all features with no credit card required
BrainDog