Runtime compliance infrastructure.
Identity, resource access, policy enforcement, and evidence remain explicit boundaries in the path of execution.
Company
Build the accountability layer enterprise AI needs.
LogionOS develops runtime controls that evaluate AI actions before execution and produce tamper-evident evidence for compliance teams.
Mission
Help enterprises say yes to AI—with enforceable controls.
AI is becoming execution infrastructure. LogionOS makes accountability infrastructure part of the same runtime path.
Control before action
Evaluate identity, resource context, and compliance policy before a supported AI request proceeds.
Evidence after decision
Maintain hash-chained decision records with delivered identifiers, outcomes, and continuity fields.
Deploy to fit the boundary
Support cloud, private cloud or VPC, on-premises, and air-gapped operating models.
Team
AI research, enterprise deployment, and legal strategy.
Chris Ma · Founder & CEO
Five years selling into major Japanese enterprises, with experience in macro research and enterprise market development.
Jun Chen · Co-Founder & CTO
Former Meta AI researcher and creator of the MiniGPT series, focused on multimodal models, alignment, reasoning, and distillation.
Joanna Luo · Co-Founder & CSO
Former TikTok legal counsel for US data privacy and technology compliance; New York Bar admitted and CIPP/US certified.
Zino T. · CMO
Product and go-to-market leader with experience building compliance-first product lines, including KYC, AML, and audit trails.
Louis Lee · Head of Japanese Market
Chinese Attorney and Japanese Administrative Lawyer with experience in AI ethics, venture, and startup law.
Related evaluation work
LogionACE is separate from the runtime platform.
LogionACE operates as an independent, affiliated evaluation brand. It evaluates observed AI-system behavior under a stated methodology; LogionOS provides runtime compliance infrastructure. Commercial platform access does not determine evaluation outcomes.