HyperLake

HyperLake is an advanced infrastructure solution specifically designed for organizations transitioning into an era where AI agents serve as primary infrastructure consumers. Unlike traditional enterprise infrastructures that cater to human users through dashboards and scheduled pipelines, HyperLake recognizes the unique behavioral patterns of AI agents. These agents continuously query data, trigger workflows, and generate artifacts, necessitating uninterrupted access to governed compute, data, policies, and services. HyperLake acts as the command center for deploying, managing, and securing agentic infrastructure, providing a comprehensive platform that integrates Agentic Data Cloud Infrastructure within the customer’s own VPC, private cloud, or on-premises environment. The innovative design allows organizations to manage diverse stacks, including HyperLake-native stacks and customer-owned cloud services, ensuring flexibility and scalability in deploying new AI use cases without the need for constant infrastructure overhauls.

Unified Governance & Access

HyperLake's unified governance framework evaluates every request—whether from humans or AI agents—against dynamic governance rules in real-time. This ensures consistent access control across all data sources, queries, and context retrieval operations.

The Traceability Loop

Every action performed by an AI agent, including queries and training runs, is meticulously recorded through immutable provenance logs. This comprehensive audit trail enables organizations to trace any AI decision back to its source data, ensuring accountability and transparency.

Data Sovereignty by Design

HyperLake empowers agents to operate on data without transferring it outside secure environments. This feature guarantees that sensitive information remains under full ownership control, utilizing sovereign deployment and confidential computing patterns.

Human-Agent Symbiosis

HyperLake fosters a collaborative environment where humans and AI agents can operate seamlessly on the same governed data platform. By providing standardized memory layers and shared context, it allows for enhanced cooperation between human insights and machine intelligence on shared datasets.

Autonomous Data Exploration

With HyperLake, AI agents can autonomously explore vast datasets, retrieving relevant context in real-time. This enables organizations to derive insights and make data-driven decisions with unprecedented speed and accuracy, revolutionizing their operational capabilities.

Real-Time Analytics

HyperLake facilitates real-time analytics, allowing organizations to generate immediate insights through AI-driven queries. This capability transforms the way businesses respond to market changes and operational challenges, ensuring they remain competitive.

Enhanced Data Governance

Organizations can leverage HyperLake's robust governance features to ensure compliance with regulations and internal policies. By maintaining strict control over data access and usage, businesses can protect sensitive information while maximizing its value.

Scalable AI Workflows

HyperLake supports the deployment of scalable AI workflows that can adapt to varying workloads and demands. This flexibility allows organizations to experiment and innovate without the fear of incurring excessive costs, ultimately driving AI adoption across all areas of the enterprise.

What types of organizations can benefit from HyperLake?

HyperLake is designed for organizations where AI agents are integral to the infrastructure, enabling businesses to leverage advanced AI capabilities while maintaining control and governance.

How does HyperLake ensure data security?

HyperLake employs a comprehensive governance framework that includes role-based access control, column masking, row-level security, and immutable audit trails to protect sensitive data and ensure compliance.

Can HyperLake integrate with existing cloud services?

Yes, HyperLake is built to manage multiple agentic infrastructure stacks, including customer-owned cloud services and native components from major cloud providers like AWS, GCP, and Azure.

What is meant by "zero compute markup" in HyperLake?

HyperLake operates on a model where organizations only pay their cloud provider for compute usage without additional markup. This eliminates unexpected costs associated with AI operations, enabling experimentation and innovation without financial fear.