rApps - Zinkworks

Zinkworks is the leader in delivering AI-driven solutions that redefine what’s possible in network operations. We enable operators to achieve high service quality and reduce costs with AI-powered rApps.

With a relentless focus on innovation and a track record of solving the toughest challenges, Zinkworks stands as the trusted partner for operators looking to stay ahead in the race toward autonomous networks. When it comes to AI for OSS and RAN, Zinkworks is where expertise and innovation meet.

Network Challenges

01

Managing Dynamic Traffic Loads

Network Traffic Prediction (NTP) anticipates traffic fluctuations across the network, providing operators with predictive insights to optimize resource allocation. By analyzing data across cells and time, NTP ensures networks are prepared to meet demand peaks while conserving resources during low traffic periods.

02

Ensuring Seamless User Mobility

Network Position Prediction (NPP) tracks and predicts user movement patterns, enabling precise adjustments to network coverage and capacity. This enhances the user experience by maintaining consistent connectivity and service quality, even in highly dynamic environments.

03

Delivering Consistent Quality of Service

Quality of Service Prediction (QoS-P) forecasts service performance under varying network conditions, proactively identifying potential degradations. By enabling dynamic resource adjustments, QoS-P ensures a high-quality experience for end users across diverse applications.

04

Reducing Energy Consumption in Networks

Power Management Controller (PMC) leverages predictive insights to implement energy-saving measures like Dynamic Carrier Activation & Deactivation and Load-Based Sleep Mode. This reduces operational costs and carbon footprints without compromising network performance.

Setting the Benchmark in AI for Network Automation

Zinkworks has developed a robust framework for creating custom rApps, tailored to meet all telecommunications needs on the path to an Autonomous Network. We partner with CSPs to implement this framework, significantly accelerating time-to-market for rApp delivery.

Zinkworks has a suite of rApps that accelerates your journey to achieving Level 4 (High Automation) within TM Forum’s Autonomous Network model. Network Traffic Prediction (NTP), Network Position Prediction (NPP), Quality of Service Prediction (QoS-P), and Power Management Controller (PMC)— enable operators to automate resource management, enhance service quality, and reduce operational overhead, paving the way for fully autonomous network operations with minimal human intervention.

How Zinkworks rApps Deliver Measurable Results

01 Network Traffic Prediction (NTP)

AI Model Accuracy: The NTP AI model achieves up to 92% prediction accuracy, enabling precise forecasts of traffic loads across cells. Impact: Supports resource allocation optimization by providing insights into peak and off-peak traffic patterns.