Cognitive Planning: AI and automation deliver high-accuracy traffic forecasts, KPI predictions, bottleneck identification and load balancing opportunities across the network lifecycle. AI-based scenario impact analysis enables proactive network planning, based on predictive rather than reactive intelligence, contributing to reduced CAPEX and optimal performance across the network.
Cognitive Design: Through utilization of live radio measurements across the network, including subscriber traffic patterns, service providers can identify where and when to deploy and expand 5G services and fine-tune parameters – ensuring the best possible configuration for each site within designated areas, with greater scale, speed and accuracy than ever before.
Cognitive Tuning: Big data technologies process crowdsourced live traffic data from across the network, delivering a scalable, reliable, and replicable approach to performance analytics. Whether deployed through a network launch or during operations, this creates a world wherein every user becomes a drive test.
Cognitive Optimization: AI-based network diagnostics analyze every network cell to detect and classify cell issues, including hidden patterns. Based on the diagnostics, specific parameter adjustments will be recommended to resolve identified issues, ensuring continuous optimization of the network and a superior user experience.
Our cloud native software products are implemented in Python, use a React-based UI and utilize the newest AI/ML technologies to provide a powerful solution for the network design and optimization engineers.