About Hyperlake.
Hyperlake is the sovereign AI operating platform. It assembles, deploys and governs the data, models, applications and tools behind Physical AI, enterprise agents and AI-native products, in the customer's environment or their clients'.
What Hyperlake does
The problem it solves
Making models and applications work together across real data, security boundaries, compute, and client environments is the hard part of AI in production. Hyperlake replaces repeated platform assembly with reusable deployment patterns, then helps teams manage the environment as workloads and customer needs change.
How it is built
It is built on open technologies and modular capabilities, with no compute markup. Customers keep their data, models, applications, and keys in infrastructure they control.
Who it is for
Enterprise and platform teams
Teams that want to own their AI environment: their infrastructure, data, and governance.
AI product companies and service providers
Teams that deploy into many client environments and need repeatable installs, client ownership, and one operating approach.
Where it runs
Your infrastructure or your clients’
In AWS, Azure, Google Cloud, OVH, private cloud, or on premises. Hyperlake’s foundation uses Kubernetes to keep services portable and manageable across infrastructure, with consistent governance and operations wherever the stack lives.
Talk to the team
Get in touch
Tell the Hyperlake team what you want to deploy, whose environment it must run in, and which data and policies it needs. Use the contact form, or read the FAQ and the use cases first. Existing users can sign in.
Start with a workload. Build the environment around it.
Tell us what you need to deploy, whose environment it must run in, and what it needs to connect to.