HyperLake

About HyperLake

HyperLake provides infrastructure for enterprises and AI providers that need to deploy AI applications, data services, models, and agents within customer-controlled environments. Its platform is built around a hardened, container-based infrastructure layer that runs inside the organization’s own cloud account or infrastructure.

The platform is designed to make identity, network isolation, policy enforcement, secrets, access controls, auditability, and data lineage part of the underlying environment rather than rebuilding these components for each AI workload.

Platform & Solutions

HyperLake provides a sovereign infrastructure substrate with optional solution packs and programmatic management interfaces.

Core capabilities include:

• Customer-controlled Kubernetes infrastructure
• Deployment within AWS, Azure, Google Cloud, private cloud, or on-premise environments
• Role-based and attribute-based data access
• Policy-as-code enforcement
• Workload identity and network isolation
• Audit trails and data lineage
• Data and execution infrastructure including PostgreSQL, Trino, and Iceberg options
• CLI and MCP-compatible infrastructure management
• Infrastructure for AI agents, models, applications, and data workloads

Best Fit Customers

HyperLake is designed for teams moving enterprise AI systems into controlled production environments.

Strong-fit customers include:

• Enterprises implementing AI transformation programs
• AI-native software companies deploying into customer environments
• Forward-deployed engineering teams
• AI and technology service providers
• Managed service providers building repeatable AI infrastructure
• Organizations requiring customer-controlled cloud or on-premise deployment

Regions Served

Not explicitly stated as a geographic service territory. HyperLake describes its deployment architecture as cloud-agnostic across AWS, Azure, Google Cloud, OVH, private cloud, on-premise, and air-gapped environments.