HyperLake

HyperLake is an innovative platform designed specifically for organizations preparing for a future where AI agents are primary users of infrastructure. Unlike traditional enterprise setups that cater to human interactions through dashboards and scheduled pipelines, HyperLake recognizes that AI agents operate differently. They continuously query data, trigger workflows, and generate artifacts, requiring uninterrupted access to governed compute, data, policies, and services. HyperLake acts as a command center to deploy, manage, and secure this agentic infrastructure. Its initial offering, the Agentic Data Cloud Infrastructure, allows organizations to deploy an open-stack data and analytics framework within their own Virtual Private Cloud (VPC), private cloud, or on-premises environment. The broader vision encompasses managing multiple agentic stacks, including customer-owned services and open-source technologies, aiming to make agentic infrastructure secure, scalable, and production-ready. With HyperLake, enterprises can choose their stack, govern interactions, and scale new AI use cases seamlessly.

Unified Governance & Access

HyperLake offers 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 multiple sources, providing a secure and compliant environment for data operations.

The Traceability Loop

The platform features immutable provenance logs that record every action taken by AI agents, including their inferences, queries, and training runs. This allows organizations to trace any AI decision back to its source data, ensuring complete auditability and accountability in AI operations.

Data Sovereignty by Design

With HyperLake, agents can operate on data without needing to move it outside its secure environment. This feature guarantees that sensitive information remains under the full control of the organization, maintaining data sovereignty through sovereign deployment and confidential compute patterns.

Human-Agent Symbiosis

HyperLake fosters 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 human insights and machine intelligence to work together effectively on the same datasets.

Autonomous Data Analytics

Organizations can leverage HyperLake to enable AI agents to perform continuous data analytics without human intervention. This use case allows for real-time insights and faster decision-making processes, significantly enhancing operational efficiency.

Enhanced Machine Learning Insights

HyperLake facilitates the deployment of machine learning models that can autonomously query data, test hypotheses, and iterate on findings. This leads to the generation of deeper insights and more accurate predictions, driving innovation in various fields.

Real-Time Operational Intelligence

With its robust infrastructure, HyperLake can support real-time operational intelligence applications. AI agents can continuously monitor systems, retrieve context, and respond to changing conditions, ensuring organizations remain agile and responsive.

Data-as-a-Service APIs

HyperLake enables businesses to create governed Data-as-a-Service APIs, allowing both humans and AI agents to access data securely and efficiently. This use case supports diverse applications, from internal tools to external client services, enhancing data accessibility.

What makes HyperLake different from traditional data platforms?

HyperLake is designed specifically for AI agents, offering continuous data access and eliminating the compute tax commonly associated with traditional platforms. This allows organizations to scale AI operations without unexpected costs.

How does HyperLake ensure data security?

HyperLake implements a unified governance layer that enforces access controls and auditing. This ensures that both human and AI interactions with data are governed and compliant with organizational policies.

Can HyperLake be deployed in existing environments?

Yes, HyperLake can be deployed within a customer's own Virtual Private Cloud (VPC), private cloud, or on-premises environment, providing flexibility and control over your infrastructure.

What types of organizations benefit from HyperLake?

HyperLake is ideal for organizations that are integrating AI agents into their operations and require a robust, governed infrastructure. This includes enterprises looking to enhance data analytics, machine learning, and operational intelligence capabilities.