Main Services
- AI strategy and 24-month roadmap
- Data architecture, governance, and cloud or hybrid platforms
- Model development and MLOpsModelOpsOperational management of the AI model lifecycle for production
- AI integration into business processes (ERP, CRM, BI)
- AI securityAI SafetyDiscipline focused on ensuring that AI is safe, compliance, and ethics
- Model risk management and audits
- Training and business enablement
Use Cases by Industry
- Manufacturing: predictive maintenance, quality control, and line productivity
- Retail and consumer: real-time personalization, inventory optimization
- Finance: fraud detection, credit scoring, and compliance automation
- Healthcare: clinical analytics, operational efficiency, decision support
- Energy and services: demand optimization and network operations
Our Approach
At NAiOS, we combine data science, data engineering, and governance to turn models into sustainable business outcomes.
1) Business-oriented discovery 2) Data preparation and governance 3) Model design and validation 4) Deployment, monitoring, and MLOps 5) Governance, security, and ethics in AI
Why NAiOS
- Multidisciplinary team with experience in large-scale implementation
- Modern and secure stack: Python, PyTorch, TensorFlow, MLflow, Kubeflow, Docker/Kubernetes
- Results-oriented approach and business metrics
- Ability to operate AI end-to-end in hybrid and multicloud environments
How to Get Started
Ready to take the leap? Request a free initial consultation and receive a 90-day roadmap.
- Contact email: info@naios.net
