Mavryx AgentOS is a runtime for AI employees — a company defines each AI worker's role, the permissions it holds and the responsibilities it owns, then tracks how it performs, the way you would manage a real team.
Companies are starting to put AI to work, but with no place to manage it — no clear role, no limit on what each one may touch, no record of what it did. Mavryx AgentOS is that place: it treats every AI worker as a position you define, permission and review. Every AI employee acts only within the permissions you grant it, and every action is logged.
Name the AI employee, write its job description, and pick the model behind it. Every worker starts as a clear role, not a loose prompt.
Give it the data it may read, the tools it may use and the actions it may take — and nothing outside that grant. The permission is the fence.
Hand it the tasks it owns, and set how it hands off to other AI employees and to human teammates — a chain of responsibility, not a black box.
Every action is logged. See what each AI employee did, how well, and where it needs correcting — a running performance record you can act on.
Create the AI employee: a role, a job description, and the model that powers it.
Grant the exact data, tools and actions it may use; it cannot step outside the grant.
Give it the responsibilities it owns and the hand-offs to other AI and human teammates.
Log every action and keep a performance record you can review and correct.
Most AI work today is a prompt here, a script there — nobody owns it, nothing limits it, no one can say later what it did. Mavryx AgentOS puts a control plane around it: each AI employee has a role, a permission boundary it cannot cross, and an audit log of every action it takes.
Each AI employee is a named position with a job description — not an anonymous agent firing off tasks.
It can only read the data, use the tools and take the actions you granted. Outside the fence, it simply cannot act.
Every action is recorded — who did what, when, and how it turned out — so performance is something you can actually review.
Mavryx AgentOS is being built on standard cloud infrastructure. A single model call is cheap; a company running dozens of specialised AI employees at once — each its own fine-tuned model answering in real time — is a genuine GPU workload, so the roadmap moves that heavy work onto NVIDIA.
The runtime, the permission model and the audit log run on standard cloud infrastructure; each AI employee is powered through cloud model APIs. No NVIDIA hardware is in use yet.
As more AI employees run at once: per-role models fine-tuned with NVIDIA NeMo; each AI employee served as a low-latency inference microservice with NVIDIA NIM; and NVIDIA TensorRT-LLM to keep many agents responsive as the workforce grows.
Standard cloud today, no NVIDIA in use yet; NVIDIA NeMo, NVIDIA NIM and NVIDIA TensorRT-LLM are the next step.
Mavryx is an independent software company building Mavryx AgentOS. Privately held, in development, and based in Nigeria.
| Legal entity | MAVRYX · Nigeria |
| Product | Mavryx AgentOS — a runtime for AI employees |
| Stage | In development |
| Location | Osun State, Nigeria |
| Incorporated | Nigeria, 2026 |
| Status | Privately held · no outside funding |
| Contact | abdulazeez@mavryxai.com |
Designs, builds and runs Mavryx AgentOS: the runtime, the permission model, and the performance record behind every AI employee.
Mavryx AgentOS is built by MAVRYX, Nigeria.
Request early access and we'll invite you to define your first AI employee, grant its permissions and watch it work — on the record.