HyperLake
Verified

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...

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What is 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.

Key Features

Federated Data Runtime

Connect and query data across databases, cloud storage, vector systems, and enterprise services without moving data.

AI Agent Governance

Govern how AI agents access data, tools, workflows, and infrastructure using centralized policies and controls.

Sovereign Deployment

Deploy entirely inside your own VPC, private cloud, or on-prem environment for full infrastructure ownership.

AI Audit Trails

Track and audit every AI agent action, workflow execution, and infrastructure interaction with immutable logs.

Tool Information

Category

Productivity

Pricing

From $/mo

Platforms

Web

Last Updated

25 May 2026

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