HyperLake

HyperLake is an innovative platform designed for organizations that are embracing the future where AI agents are primary consumers of infrastructure. Unlike traditional enterprise systems crafted for human users, HyperLake understands that AI agents require a different approach to data interactions. These agents continuously query data, trigger workflows, and generate artifacts, necessitating constant access to governed compute, data, policies, and services. HyperLake serves as a command center that enables organizations to deploy, manage, run, secure, and govern their agentic infrastructure effectively. Its first product offering, the Agentic Data Cloud Infrastructure, is a comprehensive solution that integrates data, analytics, and workflow capabilities within the customer's own cloud environment. More than just a single stack, HyperLake aims to manage various agentic infrastructure stacks, including customer-owned cloud services and open-source technologies. This makes HyperLake a versatile solution, enabling enterprises to scale AI use cases efficiently without the need to rebuild their operational layers.

Unified Governance & Access

HyperLake features a global policy layer that evaluates every request—whether from a human or an AI agent—against dynamic governance rules in real time, ensuring that access to data is consistently enforced across various sources and contexts.

The Traceability Loop

Every action performed by an AI agent, including inferences, queries, and training runs, is meticulously recorded through immutable provenance logs. This allows organizations to trace any AI decision back to its original data source, ensuring complete auditability.

Data Sovereignty by Design

HyperLake is built with data sovereignty in mind. AI agents can operate on sensitive data without needing to move it outside its secure environment, allowing organizations to maintain full control over their information through sovereign deployment and confidential compute patterns.

Human-Agent Symbiosis

HyperLake fosters collaboration between humans and AI agents by allowing both to operate on the same governed data platform. This shared context enables human insights and machine intelligence to work together seamlessly on the same datasets, enhancing productivity.

AI-Driven Analytics

Organizations can leverage HyperLake for comprehensive analytics powered by AI agents that continuously explore and retrieve data, providing real-time insights and enabling more informed decision-making.

Autonomous Workflows

HyperLake allows businesses to automate workflows where AI agents can trigger processes, manage tasks, and handle data retrieval autonomously, streamlining operations and minimizing manual intervention.

Real-Time Data Processing

With HyperLake, enterprises can implement real-time data processing capabilities, enabling AI agents to perform continuous data queries and context retrieval, which is critical for applications requiring up-to-the-minute information.

Enhanced Compliance and Auditing

HyperLake's robust governance features ensure that all actions taken by both humans and agents are recorded and auditable. This is especially beneficial for organizations in regulated industries that need to maintain strict compliance with data handling and access rules.

What types of organizations can benefit from HyperLake?

HyperLake is designed for organizations that are preparing for a future where AI agents play a crucial role in their infrastructure. This includes enterprises across various sectors looking to integrate AI capabilities into their data operations.

How does HyperLake ensure data governance?

HyperLake employs a global policy layer that dynamically evaluates every access request, ensuring that data governance rules are consistently enforced for both human users and AI agents.

Is there a markup on compute usage with HyperLake?

One of HyperLake's standout features is its $0 compute markup policy. Organizations only pay for the actual compute usage from their cloud provider, removing the financial barriers often associated with AI operations.

Can HyperLake integrate with existing data systems?

Yes, HyperLake is built to work seamlessly with various data sources and systems. It can integrate with customer-owned cloud services, open-source technologies, and other platforms, making it a flexible choice for organizations looking to modernize their infrastructure.