HyperLake

HyperLake is an innovative infrastructure solution designed specifically for organizations aiming to thrive in a future where AI agents are the primary users of data systems. Unlike traditional enterprise infrastructures that cater to human users through dashboards and scheduled tasks, HyperLake recognizes that AI agents operate in a fundamentally different manner. They continuously query data, trigger workflows, and generate insights across multiple systems, necessitating a robust and seamless infrastructure that prioritizes real-time access to governed data and services. HyperLake’s core value proposition lies in its ability to provide a unified command center for deploying, managing, securing, and governing agentic infrastructures. With its Agentic Data Cloud Infrastructure, HyperLake allows enterprises to deploy a comprehensive suite of tools within their own VPC, private cloud, or on-premises environments. The platform empowers organizations to manage multiple infrastructure stacks effortlessly, enabling them to scale and innovate without the burden of traditional operating constraints.

Unified Governance & Access

HyperLake features a global policy layer that evaluates every request—whether from humans or AI agents—against dynamic governance rules in real time. This ensures that access is consistently enforced across various data sources, providing a secure and compliant environment for all users.

The Traceability Loop

Every action taken by an AI agent, including inferences, queries, and training runs, is meticulously recorded through immutable provenance logs. This feature allows organizations to trace any AI decision back to its source data, providing complete auditability and enhancing trust in AI operations.

Data Sovereignty by Design

HyperLake enables agents to operate on data without the need to transfer it outside of its secure environment. This means sensitive information remains under the full control of the organization, thanks to sovereign deployments and confidential compute patterns, ensuring compliance with data privacy regulations.

Human-Agent Symbiosis

HyperLake fosters a collaborative environment where humans and AI agents can operate on the same governed data platform. This synergy is achieved through shared context and standardized memory layers, allowing insights from human analysts to complement the intelligence of AI agents on the same datasets.

Autonomous Data Analysis

HyperLake empowers organizations to leverage AI agents for autonomous data analysis. By continuously querying and processing data, agents can identify trends and insights that would otherwise require manual effort, enabling faster decision-making.

Real-Time Context Retrieval

With HyperLake, AI agents can retrieve real-time context from various data sources, facilitating agile responses to dynamic business environments. This capability is essential for organizations looking to stay ahead in competitive markets.

Scalable AI Workflows

HyperLake supports the deployment of scalable AI workflows, allowing organizations to automate complex processes across departments. This automation can lead to increased efficiency and reduced operational costs, freeing up resources for innovation.

Secure Data Integration

HyperLake provides a secure framework for integrating disparate data sources, ensuring that both AI agents and human analysts can access the information they need without compromising data security. This integration is crucial for organizations aiming to create a holistic view of their operations.

What types of organizations can benefit from HyperLake?

HyperLake is designed for organizations that are ready to integrate AI agents as primary users of their data infrastructure, particularly those in industries like finance, healthcare, and technology where data-driven decisions are critical.

How does HyperLake ensure data security?

HyperLake employs a robust governance framework that includes real-time evaluation of access requests, immutable logs for traceability, and sovereign deployments that keep sensitive data within the organization's control, ensuring compliance and security.

Is HyperLake compatible with existing cloud services?

Yes, HyperLake is designed to integrate seamlessly with existing cloud services and infrastructure stacks, including AWS, GCP, and Azure, as well as open-source technologies and customer-owned cloud services.

What is the pricing model for HyperLake?

HyperLake operates on a $0 compute markup model, meaning organizations only pay for the resources consumed from their cloud provider without additional charges for compute usage, making it a cost-effective solution for scaling AI operations.