Built in the real world.
QMDOS is not a theoretical orchestration layer. It is already being used to build and operate a complex technology company.
oQulta
The first company built and operated with QMDOS.
oQulta is a privacy-focused communications and commerce platform combining private messaging, voice and video communications, wallet functionality, payments and commerce infrastructure.
How oQulta uses QMDOS
Engineering and architecture. QMDOS coordinates requirements, architecture decisions, implementation work, code review, testing and release evidence across specialized AI and human contributors.
Infrastructure and operations. QMDOS provides controlled workflows for infrastructure, domains, DNS, deployments, service checks and operational evidence.
AI workforce. Specialized agents have defined roles, work queues, tools, permissions, evidence requirements and escalation paths rather than operating as isolated chat sessions.
Organizational memory. Decisions, assignments, implementation status, evidence and operational context persist in QMDOS so the organization can continue learning across model sessions and machines.
Governed autonomy. QMDOS lets agents execute real work while preserving policy, permissions, review and human authority for consequential decisions.
The proving-ground loop
Customer and product signals flow into QMDOS, where Product, Engineering, Infrastructure and testing work can be coordinated, verified and released. The results then produce new operational evidence and customer feedback.
oQulta and QMDOS remain separate products with a controlled integration boundary: QMDOS can build, test, deploy, observe and repair oQulta, but oQulta's customer data plane does not depend on QMDOS being available.