Uhana

Uhana is a software provider that delivers AI-based real-time analytics and optimization for mobile networks, targeting operators and enterprises that manage cellular infrastructure.

• AI-driven mobile network analytics and optimization for 4G/5G environments (network analytics)
• Real-time monitoring of subscriber experience and application performance (observability)
• Automation of network tuning and policy decisions using Machine Learning (ML) (network automation)
• Support for deployment in carrier-grade environments and cloud-native infrastructures (cloud infrastructure)
• Tools for operations teams to diagnose Radio Access Network (RAN) and core network issues at scale (operations tooling)

More About Uhana

Uhana focuses on applying ML to mobile network telemetry and control, with a platform that ingests data from radio access networks (RAN), core network elements, and application traffic to produce real-time analytics and automated optimization for 4G and 5G networks (network analytics).

The company’s technology is positioned for Mobile Network Operators (MNOs), digital service providers, and enterprises that depend on cellular connectivity, providing visibility into subscriber experience, application behavior, and network performance across large-scale deployments (observability).

Uhana’s offerings process network data streams such as control-plane events, user-plane traffic, and radio-level metrics, typically using cloud-native microservices and container-based architectures for horizontal scaling (cloud infrastructure).

The platform applies ML models to detect anomalies, identify congestion or coverage issues, and recommend or trigger actions such as parameter changes or policy updates to improve throughput, latency, and reliability (network automation).

In many deployments, Uhana’s software integrates with existing OSS/BSS stacks, network management systems, and orchestration frameworks, interfacing with standard telecom protocols and APIs where exposed, and consuming event data from sources like packet cores, RAN controllers, and probes (systems integration).

Compared with traditional rules-based network monitoring, Uhana’s AI-centric approach focuses on pattern recognition across large data sets in near real time, providing operations teams with tools to drill down to specific cells, devices, or flows and to trace performance issues across RAN and core domains (network analytics).

Enterprises that rely on private Long Term Evolution (LTE) or 5G networks can use the same analytics and optimization stack to monitor service-level objectives for critical applications, such as industrial automation, video, or Internet of Things (IoT) workloads, and to adjust network policies based on learned behavior (private networks).

Within an enterprise IT and telecom directory, Uhana aligns to categories such as mobile network analytics, AI-driven observability for telecom, network performance management, and automation for 4G/5G RAN and core infrastructures.