HyperLake

HyperLake is an innovative platform designed to empower organizations that recognize the need for AI agents as primary users of their infrastructure. Traditional enterprise infrastructures have been tailored for human interaction, featuring dashboards, scheduled pipelines, and static reports. However, the operational dynamics of AI agents are fundamentally different—they require continuous, real-time access to data, tools, and workflows. HyperLake acts as a command center to deploy, manage, and govern agentic infrastructure, ensuring that enterprises can seamlessly integrate AI capabilities into their operations. Its initial offering, the Agentic Data Cloud Infrastructure, delivers a comprehensive stack for data, analytics, and workflows, all within a customer's own virtual private cloud or on-premises environment. Beyond this, HyperLake is built to manage a diverse array of infrastructures, including native and third-party components. This flexibility allows enterprises to scale AI use cases without the burden of redesigning their foundational operations, all while maintaining security, governance, and compliance.

Unified Governance & Access

HyperLake boasts a global policy layer that evaluates every request—whether from humans or AI agents—against dynamic governance rules in real-time. This feature ensures consistent access control across all data sources, queries, and context retrieval, thereby enhancing security and compliance.

The Traceability Loop

This vital feature records every action taken by AI agents, including inferences, queries, and training runs, through immutable provenance logs. Organizations can easily trace any AI decision back to its source data, providing complete auditability and transparency.

Data Sovereignty by Design

HyperLake enables AI agents to operate on sensitive data without moving it outside of secure environments. This feature preserves data sovereignty, allowing organizations to maintain full control over their information while leveraging powerful AI capabilities.

Human-Agent Symbiosis

HyperLake fosters a collaborative environment where humans and AI agents can work together on the same governed data platform. This feature allows for shared context and standardized memory layers, enhancing both human insights and machine intelligence.

Autonomous Analytics

Organizations can utilize HyperLake to enable AI agents to conduct autonomous analytics, continuously exploring and retrieving insights from data without human intervention, thereby maximizing efficiency and data utilization.

Real-Time Data Operations

HyperLake supports real-time data operations where AI agents can autonomously execute queries, manage workflows, and trigger alerts based on the latest data inputs, ensuring timely and informed decision-making.

Enhanced Data Security Compliance

With its robust governance features, HyperLake assists organizations in maintaining compliance with data security regulations by managing access controls and providing comprehensive audit trails for all actions taken on sensitive data.

Scalable AI Deployments

HyperLake simplifies the deployment and scaling of AI use cases across various infrastructures. Organizations can quickly adapt their systems to incorporate new AI-driven initiatives without the need for extensive reconfiguration.

What types of organizations can benefit from HyperLake?

HyperLake is ideally suited for organizations that are ready to integrate AI agents into their infrastructure as primary consumers. This includes businesses in sectors such as finance, healthcare, retail, and technology that require real-time data access and autonomous operations.

How does HyperLake ensure data security and governance?

HyperLake employs a global policy layer that evaluates all access requests against dynamic governance rules. It also features immutable provenance logs and data sovereignty capabilities, ensuring that sensitive data remains secure and compliant with regulations.

Can HyperLake be deployed in existing cloud environments?

Yes, HyperLake can be deployed within a customer's existing virtual private cloud (VPC), private cloud, or on-premises environment. This flexibility allows organizations to leverage their current infrastructure while integrating advanced AI capabilities.

What is the pricing model for HyperLake?

HyperLake operates on a model that charges $0 compute markup, meaning customers only pay for their cloud provider's infrastructure costs. This model is designed to eliminate the financial burden of unexpected bills associated with autonomous AI operations.