Memory layer for AI agents that saves tokens, improves itself, and enforces access control
Stage
Not given
Startup
Founded
Not given
2024
Based in
US
US
Pricing model
Paid
Freemium
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.
Self-hosted: Free for commercial use. GoodMem Cloud: From $15/mo with usage-based pricing, 14-day free trial. Enterprise: Custom pricing.
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
Automated retrieval stack optimization
Multimodal document processing with page images
Granular access control and permissions
Hybrid search with dense and sparse embedders
Support for multiple LLM providers
Multi-language SDKs and APIs
Flexible deployment options
ISO/IEC 27001 certified security
SLSA Build L3 provenance
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
Achieves frontier model quality at 1/35 of the cost using small self-hosted models
Automatically optimizes retrieval stack for your data on real queries
GoodMem