Technology
Highest Security by Design
Almure aims to build the highest security standards to enable AI adoption in industries handling the most sensitive data in the world. To this end, we are developing next-generation Confidential Computing technology that delivers airtight security on par with strict cryptographic key management, without compromising the execution flexibility required for advanced AI workloads.
What is Confidential Computing?
Confidential Computing is a paradigm that isolates and encrypts workloads at the hardware level, making data inaccessible to cloud operators, system administrators — even to Almure itself. While traditional security protects data "in transit" and "at rest," Confidential Computing extends protection to data "in use." It leverages hardware-backed Trusted Execution Environments (TEEs), such as Confidential VMs and Hardware Enclaves.
However, existing solutions face a critical trade-off: enforcing strict isolation severely restricts the workloads they can run. Our architecture aims to resolve this trade-off at its root.
Our Technology
Design Principles
Security
Isolation on par with cryptographic key management
Our architecture isolates and encrypts every process at the hardware level — making data inaccessible even to infrastructure administrators and privileged software. This enables compliance with the strictest security requirements by design, without relying on perimeter defenses or complex access controls.
Flexibility
Support Any AI Workload
Historically, strong isolation has come at the cost of restricted performance and execution capabilities. Our architecture fundamentally resolves this trade-off. It maintains the highest security standards without restricting complex workloads — including AI agents that autonomously generate and execute code. We are building a versatile AI computing platform with the speed and expressiveness of a standard environment.
We welcome engineers who want to solve this fundamental challenge, and partners interested in exploring what becomes possible.