HyperLake

HyperLake is an innovative infrastructure solution designed for organizations that recognize the transformative potential of AI agents as primary users of their data ecosystems. Traditional enterprise infrastructures have primarily catered to human interactions, focusing on dashboards, applications, and scheduled pipelines. However, in an era where AI agents operate continuously, querying data and triggering workflows autonomously, a reimagined approach is necessary. HyperLake provides a command center that allows organizations to deploy, manage, secure, and govern their agent-driven infrastructure efficiently. The core offering, Agentic Data Cloud Infrastructure, is an open-stack solution that can be deployed within a customer's own virtual private cloud (VPC) or on-premises. HyperLake's vision extends beyond a single stack; it aims to manage multiple agentic infrastructure stacks, integrating various technologies while ensuring a seamless and governed experience. The goal is to create an end-to-end, production-ready environment where enterprises can choose their stack, deploy it where data resides, and audit every action taken by both humans and AI agents.

Unified Governance & Access

HyperLake's governance model ensures that every request, whether from a human or an AI agent, is evaluated against dynamic governance rules in real time. This unified approach provides consistent access control across various data sources, making it easier to maintain compliance and security.

The Traceability Loop

Every action taken by AI agents within HyperLake is meticulously logged, creating immutable provenance records. This feature allows organizations to trace any AI decision back to its source data, ensuring complete auditability and accountability in all operations.

Data Sovereignty by Design

With HyperLake, sensitive data remains within its secure environment. The platform enables AI agents to operate on data without the need to transfer it outside, ensuring that organizations maintain full control over their sensitive information through sovereign deployment practices.

Human-Agent Symbiosis

HyperLake facilitates collaboration between humans and AI agents on the same governed data platform. This symbiotic relationship is supported through shared context and standardized memory layers, allowing for enhanced insights and more intelligent decision-making.

Autonomous Data Operations

Organizations can harness HyperLake to enable AI agents to autonomously explore datasets, retrieve context, and run analyses without human intervention. This capability accelerates data-driven decision-making and optimizes operational efficiencies.

Real-Time Analytics

HyperLake allows businesses to perform real-time analytics by enabling AI agents to continuously query and analyze data streams. This results in timely insights that can inform strategic decisions and operational adjustments.

Enhanced Data Security

With built-in governance and traceability, HyperLake supports organizations in achieving enhanced data security. Businesses can rest assured that every action is logged, and sensitive data remains secure while still being accessible to authorized agents.

Scalable AI Experimentation

HyperLake eliminates the fear of unexpected costs associated with AI experimentation. By offering a $0 compute markup model, organizations can freely experiment with AI use cases, iterating and scaling without the financial burden of traditional pricing models.

What makes HyperLake different from traditional data platforms?

HyperLake is specifically designed for the needs of AI agents, allowing for continuous data exploration and retrieval, unlike traditional platforms that are built for human-centric interactions like dashboards and reports.

How does HyperLake ensure data security?

HyperLake employs a unified governance model that enforces access controls consistently across all data sources. It also keeps sensitive data within its secure environment, ensuring that organizations retain full ownership and control.

Can HyperLake integrate with existing cloud services?

Yes, HyperLake is designed to manage many agentic infrastructure stacks, including customer-owned cloud services and components from AWS, GCP, Azure, and open-source technologies, allowing for seamless integration.

What is the pricing model for HyperLake?

HyperLake operates on a $0 compute markup model, meaning organizations only pay for their cloud provider's compute costs without additional overhead, making it cost-effective for extensive AI operations.