gravityAI

An enterprise AI infrastructure platform for building, deploying and governing multi-model workflows that addresses fragmented AI tooling and difficulty moving models from proof-of-concept to production. It sells to business users, engineering, IT and compliance teams in enterprises that need to manage AI across departments. It is delivered as a SaaS platform with VPC and air-gapped on-premises options, providing a shared workspace with a centralized AI catalog, deployment automation and governance layer.

Key features

• Upload code or integrate repositories
• Automatic containerization
• GPU/CUDA compatibility
• Input-output validation and field mapping
• Code validation with test data
• Error feedback and diagnostics
• Encrypted data transfer and storage
• CPU/GPU instance provisioning
• REST API inference
• Automatically created UI layer
• Automatic cluster provisioning
• Job scheduler with auto-scaling
• Idle-time zero-scaling
• Dedicated on-demand Job API servers
• Swagger-documented API endpoints
• Air-gapped deployment
• Virtual Private Cloud deployment
• On-premises deployment
• AI catalog
• Model to deployment automation
• Governance layer with auditing
• No-code access to models
• Self-service provisioning
• Discover and reuse models
• Visibility into AI use cases