Almure
Category: AI Infrastructure
Almure builds confidential computing security infrastructure that enables enterprise AI agents to process sensitive data in encrypted Trusted Execution Environment (TEE) environments. Almure was founded in 2026. The company is led by Atsuki Momose. Based in Shibuya, Tokyo, Japan. Team size: 1-10. Total funding raised: $1.37M. Latest round: Seed. Key investors include Genesia Ventures, Dual Bridge Capital, NEX-T Tokai Innovation Fund (Prime Partners / Tokai Tokyo Securities).
- Founded
- 2026
- Headquarters
- Shibuya, Tokyo, Japan
- Team size
- 1-10
- Total funding
- $1.37M
Value proposition
Enables enterprises in regulated industries (finance, manufacturing, healthcare, defense) to deploy AI agents on sensitive data while meeting strict security compliance requirements, by providing hardware-level encrypted execution environments that eliminate the need for costly security checklist operations.
Products and solutions
Confidential Computing security infrastructure for enterprise AI agents, purpose-built TEE-based platform enabling secure processing of sensitive data in encrypted execution environments isolated from cloud providers and system administrators
Unique value
Purpose-built top-down architecture that solves the trade-off between strong isolation (encryption-key-level security) and AI workload flexibility — unlike existing confidential computing solutions that sacrifice generality for security.
Target customer
Enterprise organizations in regulated industries (finance, manufacturing, healthcare, defense) that need to process confidential data with AI agents while meeting strict security compliance standards.
Industries served
Finance, Manufacturing, Healthcare, Defense
Technology advantage
Proprietary confidential computing architecture leveraging Trusted Execution Environments (TEE), Confidential VMs, and Hardware Enclaves; top-down design approach from security compliance requirements; CEO's deep research expertise in TEE/distributed cryptography with 5 ACM CCS papers and Intel Labs collaboration.
How they differentiate
Unlike existing confidential computing solutions (Anjuna, Fortanix, Edgeless Systems) that take a bottom-up approach from generic infrastructure layers, Almure uses a top-down "purpose-built" design approach that starts from industry-specific security compliance requirements, enabling both encryption-key-level security and general-purpose AI execution without performance trade-offs.
Main competitors
Anjuna (US), Fortanix (US), Edgeless Systems (Germany)
Key partnerships
Keio University (joint research collaboration announced April 2026), Intel Labs (prior collaboration via CEO's work at Acompany)
Major milestones
Founded January 2026, Raised ¥200M ($1.37M) seed round in April 2026, Announced joint research with Keio University in April 2026
Market positioning
Early-stage Japanese startup in the confidential computing for AI agents space, competing with established global players (Anjuna, Fortanix, Edgeless Systems) by focusing on a purpose-built architecture tailored to enterprise security compliance needs in regulated industries.
Geographic focus
Japan (primary), with potential expansion to global enterprise markets
About Atsuki Momose
Ex-Executive Officer & Chief Research Officer (CRO) at Acompany (privacy-tech startup); Research Scholar & Ph.D. student in Computer Science at University of Illinois Urbana-Champaign (UIUC); Researcher at SECOM IS Lab; Nagoya University graduate. Ethereum Foundation research grant recipient. Tsujii Shigeo Security Paper Award (2022), Illinois Distinguished Fellowship. Program committee member for ACM CCS 2024/2025/2026.
Official website: https://almure.io