HyperLake

HyperLake is a pioneering solution designed for organizations on the verge of a transformative shift in their data infrastructure, where AI agents become the primary consumers of resources. Traditional enterprise infrastructures were centered around human interaction, relying on dashboards and scheduled applications. In contrast, HyperLake acknowledges that AI agents operate differently—they continually query data, trigger workflows, and generate artifacts, demanding seamless access to governed compute, data, and services. HyperLake serves as a command center for deploying, managing, running, securing, and governing this new agentic infrastructure. With its Agentic Data Cloud Infrastructure, organizations can deploy an open-stack solution within their own VPC or private cloud, allowing them to manage diverse stacks of infrastructure that can include HyperLake-native components and other cloud services. The overarching aim is to create an end-to-end agentic infrastructure that is not only usable and secure but also scalable, enabling enterprises to innovate freely without the burden of rebuilding their operating layers for each new AI use case.

Unified Governance & Access

HyperLake's unified governance framework ensures that all requests—whether from humans or AI agents—are evaluated against dynamic governance rules. This real-time assessment guarantees consistent access control across various data sources and queries, maintaining a robust security posture.

The Traceability Loop

Every action taken by AI agents is meticulously recorded through immutable provenance logs. This feature provides a level of transparency and accountability that allows organizations to trace any AI decision back to its source data, ensuring complete auditability and compliance.

Data Sovereignty by Design

HyperLake empowers organizations to utilize their data without compromising security. Agents can operate within their secure environments, allowing sensitive information to remain under the organization's control, thanks to sovereign deployments and confidential computing patterns.

Human-Agent Symbiosis

HyperLake fosters collaboration between humans and AI agents by creating a shared governed data platform. This unique feature allows both parties to access the same datasets, facilitating a seamless exchange of insights and enabling innovative solutions that harness the strengths of both human intelligence and machine learning.

Autonomous Data Processing

HyperLake allows organizations to automate data processing tasks, enabling AI agents to continuously explore and analyze data without human intervention. This leads to faster insights and improved decision-making processes.

Real-Time Analytics

With HyperLake, companies can leverage the capabilities of AI agents for real-time analytics. The platform enables agents to query vast datasets instantaneously, providing timely insights that can drive operational efficiency and strategic planning.

Enhanced Data Security

Organizations can utilize HyperLake to enhance their data security measures. The platform's built-in governance and access controls ensure that sensitive data remains protected, while still allowing AI agents to perform necessary operations.

Collaborative Research and Development

HyperLake creates an environment where human researchers and AI agents can work together seamlessly. This collaboration enhances research and development efforts, leading to innovative solutions and products that leverage both human creativity and machine efficiency.

What makes HyperLake different from traditional data platforms?

HyperLake is specifically designed for the needs of AI agents, providing a governance framework and infrastructure that accommodates continuous data retrieval and exploration, unlike traditional platforms that focus on human-centric operations.

How does HyperLake ensure data security?

HyperLake employs a unified governance system that evaluates every access request in real-time, ensuring that sensitive data is protected and that all interactions, whether by humans or AI agents, are auditable.

Can HyperLake integrate with existing cloud services?

Yes, HyperLake is designed to seamlessly manage various stacks of infrastructure, including customer-owned cloud services and components from major cloud providers like AWS, GCP, and Azure.

What are the cost implications of using HyperLake?

HyperLake operates on a $0 compute markup model, meaning organizations only pay for the resources they use from their cloud providers, eliminating the fear of unexpected costs associated with traditional data platforms.