HyperLake

HyperLake is an innovative infrastructure platform designed specifically for organizations that are preparing for a future where AI agents become integral users of technological resources. Unlike traditional infrastructure, which is primarily designed for human interaction through dashboards and applications, HyperLake caters to the unique operational needs of AI agents. These agents continuously query data, trigger workflows, and operate autonomously across various systems, necessitating constant access to governed compute, data, policies, and services. HyperLake serves as a command center that enables enterprises to deploy, manage, and govern their agentic infrastructure efficiently. The initial offering, Agentic Data Cloud Infrastructure, allows for open-stack data, analytics, and workflow integration within the customer's own virtual private cloud (VPC), private cloud, or on-premises environment. Beyond this, HyperLake's broader vision encompasses the management of various agentic infrastructure stacks, including HyperLake-native stacks, customer-owned cloud services, and other components. This flexibility empowers enterprises to choose their technology stack, ensure governance of every interaction, and scale new AI use cases seamlessly.

Unified Governance & Access

HyperLake incorporates a global policy layer that evaluates every request—whether from a human or an AI agent—against dynamic governance rules in real time. This ensures that access to data is enforced consistently across all data sources, queries, and context retrieval, enhancing security and compliance.

The Traceability Loop

HyperLake maintains immutable provenance logs that record every action taken by agents, including inferences, queries, and training runs. This feature allows organizations to trace any AI decision back to its source data, ensuring complete auditability and transparency in AI operations.

Data Sovereignty by Design

HyperLake is built to allow agents to operate on data without needing to move it outside of its secure environment. This design preserves sensitive information under full owner control through sovereign deployment and confidential compute patterns, addressing privacy and regulatory concerns.

Human-Agent Symbiosis

HyperLake fosters collaboration between humans and AI agents by providing a unified governed data platform. Shared context and standardized memory layers enable humans and machine intelligence to work on the same datasets, enhancing productivity and decision-making capabilities.

Autonomous Data Analytics

Organizations can leverage HyperLake to enable AI agents to perform continuous data analytics autonomously. This capability allows for real-time insights and decision-making without the delays associated with human intervention.

Enhanced Reporting Automation

HyperLake facilitates the automation of reporting processes through AI agents. By generating real-time reports based on dynamic data queries, organizations can ensure that stakeholders always have access to the most current information.

Scalable Machine Learning Operations

With HyperLake, enterprises can deploy scalable machine learning operations where AI agents autonomously explore datasets, build models, and optimize algorithms, significantly accelerating innovation cycles and reducing time to market.

Data-Driven Decision Support

HyperLake empowers organizations to utilize AI agents as decision support systems. By continuously retrieving and analyzing contextual data, agents provide timely recommendations, enabling businesses to respond swiftly to market changes.

What kind of organizations can benefit from HyperLake?

HyperLake is tailored for organizations that leverage AI agents as primary users of their data infrastructure. This includes industries such as finance, healthcare, and technology that require continuous data access and autonomous operations.

How does HyperLake ensure data security and compliance?

HyperLake incorporates a unified governance framework that enforces access control, data sovereignty, and audit trails, ensuring that every interaction is compliant with regulatory standards and organizational policies.

Is HyperLake suitable for on-premises deployment?

Yes, HyperLake can be deployed within a customer's own virtual private cloud (VPC), private cloud, or on-premises environment, allowing organizations to maintain control over their data and infrastructure.

What is the pricing model for HyperLake?

HyperLake operates on a $0 compute markup model, meaning that organizations only pay for the underlying cloud provider's compute resources without incurring additional charges for usage, making it cost-effective for autonomous AI operations.