- RF/RAN Engineers: Learn how Atoll and Naos improve accuracy and workflow integration.
- RAN Engineering Managers: Discover how AI-driven automation reduces manual effort.
- Network Executives: Explore the cost efficiency and ROI of Atoll and Naos.
- The challenges MNOs face in RAN planning and optimisation.
- How Atoll and Naos integrate predictive modelling and live network data.
- The benefits of AI-driven automation and O-RAN alignment.
- Use cases demonstrating cost efficiency, accuracy, and scalability.
Webinar Key Takeaways
This webinar explored how Atoll and Naos provide a vendor-neutral, AI-driven solution for RAN planning and optimisation, integrating predictive modelling and live network data for real-time decision-making.

Unified Planning and Optimisation
Atoll and Naos share the same proven algorithms, ensuring consistency between planning and optimisation.
AI-Driven Automation
Naos leverages AI-driven automation to reduce manual effort and improve network performance.

Live Network Data Integration
Real-time data integration enables proactive optimisation and data-driven decision-making.

O-RAN
Compliance
Atoll and Naos support
O-RAN standards, ensuring interoperability and flexibility for future network evolutions.
Traditional RAN planning and optimisation tools often fall short
MNOs face challenges in delivering high-performance networks while reducing operational costs
Trusted by operators worldwide
Why Atoll and Naos?
Atoll and Naos provide a unified, vendor-neutral framework for RAN planning and optimisation, delivering:
- Shared algorithms ensure consistency between planning and optimisation.
- AI-driven propagation models for precise coverage predictions.
- Naos automates optimisation workflows, reducing manual effort.
- Real-time data integration enables proactive decision-making.
- Support for Open RAN standards ensures interoperability and flexibility.
Key Use Cases
- Traffic Modelling: Supports both PRB-based and user-based traffic modelling for LTE and 5G.
- AI-Powered Propagation Models: Accurate coverage predictions for complex environments.
- Real-Time Optimisation: Automated adjustments based on live network data.
Trusted by operators worldwide
A Complete AI-powered RAN Planning
& Optimisation Software Solution for Mobile Operators and Private Networks
Frequently asked Questions
Atoll uses AI-driven propagation models and unified algorithms to ensure accurate coverage predictions and traffic modelling.
Naos leverages AI-driven automation to reduce manual effort, improve accuracy, and enable real-time optimisation based on live network data.
Atoll provides a unified framework for planning 2G, 3G, 4G, and 5G networks, ensuring seamless workflows across technologies.
Yes, Atoll and Naos support O-RAN standards, ensuring interoperability and flexibility.
Atoll and Naos reduce opex and capex by automating workflows and improving network performance, delivering a strong ROI for MNOs.
