HyperLake

HyperLake is an innovative infrastructure solution tailored for organizations transitioning into an era where AI agents are the primary consumers of enterprise infrastructure. Traditional systems were designed for human interactions, managing dashboards, applications, and scheduled tasks. However, HyperLake recognizes that AI agents function differently, requiring continuous access to governed data, tools, and workflows. This product serves as a command center that enables users to deploy, manage, and govern agentic infrastructure seamlessly. The first significant offering is the Agentic Data Cloud Infrastructure, which integrates open-stack data, analytics, and workflow systems within a customer's own environment. HyperLake's vision extends beyond just one stack, aiming to unify numerous agentic infrastructures, including proprietary cloud services and open-source technologies, ensuring that organizations can effortlessly scale AI initiatives without rebuilding the underlying framework.

Unified Governance & Access

HyperLake features a robust global policy layer that dynamically evaluates each access request, whether from humans or AI agents, ensuring consistent governance across various data sources. This real-time evaluation helps maintain a secure environment while allowing for flexible data access.

The Traceability Loop

Every action taken by AI agents is meticulously logged through immutable provenance logs, enabling organizations to trace decisions back to their source data effortlessly. This feature guarantees complete auditability, which is essential for compliance and transparency in data operations.

Data Sovereignty by Design

HyperLake empowers organizations to operate on their data without transferring it outside their secure environments. This attribute is crucial in maintaining control over sensitive information and complies with data sovereignty regulations, utilizing sovereign deployment and confidential compute patterns.

Human-Agent Symbiosis

HyperLake fosters a collaborative environment where humans and AI agents work on the same governed data platform. By enabling shared context and standardized memory layers, it allows for effective collaboration, enhancing insights and decision-making processes across teams.

AI-Driven Analytics

With HyperLake, organizations can leverage AI agents to perform continuous, real-time analytics on vast datasets. This capability allows businesses to derive actionable insights and make informed decisions rapidly, significantly enhancing operational efficiency.

Autonomous Data Pipelines

HyperLake enables the creation of autonomous data pipelines that can operate without human intervention. This use case allows for continuous data ingestion, transformation, and delivery, streamlining workflows and reducing the risk of human error.

Enhanced Data Governance

Organizations can utilize HyperLake to implement advanced data governance practices. With its unified policy layer, businesses can ensure that all data access and usage comply with internal policies and external regulations, promoting a culture of accountability.

Real-Time Context Retrieval

HyperLake facilitates real-time context retrieval for AI agents, allowing them to access and utilize the most relevant data instantly. This feature accelerates the decision-making process, enabling organizations to stay ahead in a fast-paced digital landscape.

What makes HyperLake different from traditional data platforms?

HyperLake is designed specifically for the needs of AI agents, providing continuous access to governed data and tools, unlike traditional platforms that were built for human users and scheduled tasks.

How does HyperLake ensure data governance?

HyperLake employs a global policy layer that evaluates every request against dynamic governance rules in real-time, ensuring consistent and secure access across all data sources and interactions.

Can HyperLake be deployed in different environments?

Yes, HyperLake can be deployed in various environments, including a customer’s own VPC, private cloud, or on-premises, providing flexibility and control over data management.

What is the pricing model for HyperLake?

HyperLake operates on a $0 compute markup model, meaning users only pay for their cloud provider's costs, allowing organizations to scale their AI initiatives without the fear of surprise expenses.