HyperLake

HyperLake is an innovative platform designed to meet the demands of organizations where AI agents are the primary consumers of infrastructure. Unlike traditional enterprise infrastructure, which caters to human interaction through dashboards and scheduled tasks, HyperLake provides a seamless environment for AI agents to query data, trigger workflows, and generate artifacts continuously. The core offering is the Agentic Data Cloud Infrastructure, which deploys open-stack data, analytics, and workflow systems within a customer's own VPC, private cloud, or on-premises setup. This solution enables enterprises to harness the full potential of AI, ensuring that they can govern every interaction, audit actions, and scale new AI use cases without needing to overhaul their operating layers. HyperLake's vision extends beyond a single stack, accommodating multiple infrastructure layers, thus enabling organizations to choose what best fits their needs while maintaining control and security.

Unified Governance & Access

HyperLake's global policy layer evaluates every request—whether from a human or an AI agent—against dynamic governance rules in real time. This ensures that access is consistently enforced across various data sources and queries, maintaining a high standard of security and compliance.

The Traceability Loop

Every action taken by AI agents—from inferences and queries to training runs—is meticulously recorded through immutable provenance logs. This feature allows organizations to trace any AI decision back to its source data, ensuring complete auditability and compliance with regulatory standards.

Data Sovereignty by Design

HyperLake empowers organizations to operate on sensitive data without transferring it outside secure environments. This sovereign deployment and confidential compute pattern keep sensitive information under full control of the data owner, enhancing privacy and security.

Human-Agent Symbiosis

HyperLake facilitates collaboration between humans and AI agents by allowing both to operate on the same governed data platform. This shared context and standardized memory layers enable meaningful interactions and insights, maximizing the potential of human intelligence alongside machine learning.

Autonomous AI Operations

Organizations can leverage HyperLake to enable AI agents to autonomously explore data, conduct real-time context retrieval, and iterate on hypotheses without human intervention, thus accelerating innovation and decision-making processes.

Real-Time Analytics and Reporting

HyperLake provides the necessary infrastructure for generating real-time analytics and reports, allowing businesses to derive insights from their data instantly. This capability empowers teams to make data-driven decisions quickly.

Data-as-a-Service API Deployment

With HyperLake, companies can easily deploy Data-as-a-Service APIs, enabling seamless access to curated data while ensuring compliance with governance policies. This fosters a more agile data environment and enhances service delivery.

Enhanced Security and Compliance

HyperLake’s robust governance features ensure that all interactions with data—by both human users and AI agents—are secure and auditable. Organizations can confidently manage compliance requirements while focusing on leveraging their data strategically.

What makes HyperLake different from traditional data platforms?

HyperLake is designed specifically for AI agents, providing a framework that supports continuous data retrieval and autonomous operations, unlike traditional platforms that focus on human-centric interactions.

How does HyperLake ensure data security?

HyperLake employs a unified governance framework that enforces access policies across all interactions, ensuring that sensitive data remains secure while enabling real-time access for AI agents and human users.

Can HyperLake integrate with existing cloud services?

Yes, HyperLake is designed to manage various infrastructure stacks, including customer-owned cloud services and popular platforms like AWS, GCP, and Azure, ensuring a flexible integration approach.

What is the cost model for using HyperLake?

HyperLake offers a unique pricing model with $0 compute markup, allowing organizations to pay only for their cloud provider's resources without incurring unexpected charges from misconfigured agents or high-volume queries.