Hyperlake

HyperLake is built for organizations preparing for a world where AI agents become primary users of infrastructure. Today, most enterprise infrastructure was designed for humans, dashboards, applications, and scheduled pipelines. AI agents behave differently. They query data, call tools, trigger workflows, generate artifacts, operate across systems, and need continuous access to governed compute, data, policies, and services. HyperLake provides the command center to deploy, manage, run, secure, and govern that agentic infrastructure. The first product wedge is Agentic Data Cloud Infrastructure: open-stack data, analytics, semantic, workflow, and agent infrastructure deployed inside the customer’s own VPC, private cloud, or on-prem environment. But the broader vision is larger than one stack. HyperLake is designed to manage many agentic infrastructure stacks: HyperLake-native stacks, customer-owned cloud services, AWS/GCP/Azure-native components, open-source technologies, governed data services, workflow systems, MCP tools, and future production-ready agentic use cases. The goal is to make agentic infrastructure usable, secure, and production-ready end to end. Enterprises should be able to choose the stack, deploy it where their data lives, govern every human and agent interaction, audit every action, and scale new AI use cases without rebuilding the operating layer each time.

HyperLake delivers a hardened, container-based AI infrastructure that runs in your own cloud, ensuring data sovereignty and control. It solves the problem of complex, bespoke infrastructure builds required for AI deployments by providing a self-managing Kubernetes substrate that can be deployed quickly and owned outright by enterprises. The solution is designed to give clients full ownership of their data and deploy applications seamlessly across differing environments. Users deploy the HyperLake infrastructure in their own cloud environment. The hardened Kubernetes substrate serves as the foundation, allowing users to layer on different solution packs or run their applications directly above it. Deployment is straightforward, using one path and controls that ensure consistency regardless of the applications or cloud platform. Actions can also be performed via command line or integrated into existing CI/CD pipelines, ensuring smooth operations and governance. HyperLake is for enterprises aiming to deploy AI solutions in production environments, including AI-native product companies, service providers, and internal teams. It is designed to standardize the infrastructure across different clients while allowing for flexibility in configuration. The platform is particularly beneficial for those needing secure and governed access to data without locking teams into a closed ecosystem.