VerroAI
AI infrastructure · In development
Building sovereign AI infrastructure for deploying and managing AI workloads.
- Role
- Founder & CEO
- Period
- 2025–present
- Tools & focus
- Python · TypeScript · Docker · Kubernetes
The problem
AI deployment brings together model execution, infrastructure, and developer tooling. VerroAI aims to give developers one platform for deploying, scaling, and managing workloads on sovereign AI infrastructure.
The approach
- Building model deployment and execution pipelines for AI workloads.
- Designing API layers and command-line tools for developers working with the platform.
- Developing the infrastructure architecture with Python, TypeScript, Docker, and Kubernetes.
The outcome
Deployment pipelines and API/CLI designs form the platform foundation. Development is ongoing; renewable-powered compute remains a longer-term goal.