Unlock the next level of AI-driven automation
Advanced AI and a higher level of automation are essential to tackling the complexity of today's wireless networks. MantaRay AutoPilot is the industry’s only solution that already reaches level 4 of TM Forum’s autonomous network framework today. This is made possible by its advanced AI capabilities.
MantaRay AutoPilot enables mobile operators to harness autonomous RAN operations for maximized performance, enhanced operational efficiency and a sustainable TCO.
It’s a key component of our comprehensive Service Management and Orchestration (SMO) framework that helps our customers harness the power of AI for RAN optimization.
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What is autonomous network optimization?
Optimize your network faster than ever before
Start your autonomous RAN operations journey today
A comprehensive solution portfolio
Reaches level 4 of TM Forum’s autonomous network framework today
30% higher cell utilization during a period of extremely high traffic load
15,000 autonomous operations per hour
What is autonomous network optimization?
Autonomous network optimization means using AI and machine learning to continuously monitor, analyze and improve network performance without human intervention. Unlike traditional manual processes, autonomous systems work in real time to detect anomalies, predict potential issues and implement corrective actions.
MantaRay AutoPilot makes autonomous optimization a reality. It leverages cognitive AI algorithms and intent-based automation, enabling you to increase operational efficiency significantly and reduce costs while maximizing performance.
Optimize your network faster than ever before
MantaRay AutoPilot represents a giant step in automation. It can handle routine operations significantly faster and produce better quality than previous network optimization tools and methods.
MantaRay AutoPilot enables next-level AI efficiency in RAN optimization. Its extensive AI and automation capabilities are already proven in commercial networks, delivering tangible benefits to our customers.
In addition to ensuring trusted performance, AutoPilot helps maximize service availability and quality of service.
Start your autonomous RAN operations journey today
In the transforming business environment marked by growing complexity, you need an autonomous network operations solution that works behind the scenes without interruptions and is truly integral to the network.
MantaRay AutoPilot enables you to optimize your network within minutes based on the performance objective you have defined. It autonomously detects any degradation in performance compared to the intent and takes corrective action. This enables you to ensure outstanding quality of service with minimal human intervention.
AutoPilot is available with pre-defined intents based on typical use cases. These intents allow you to automate the optimization based on target KPIs without the need to touch deeper configuration levels and perform time-consuming procedures manually.
A comprehensive solution portfolio
MantaRay AutoPilot is a key component of our comprehensive MantaRay SMO solution that leverages advanced AI capabilities and enables zero-touch automation. SMO manages multi-supplier networks and supports new standardized interfaces.
MantaRay AutoPilot is part of our Advanced 5G solutions, which help our customers differentiate user experiences, drive additional revenue growth and optimize the total cost of ownership (TCO) for their radio networks.
AI-RAN is the engine for future innovation, leveraging the synergies of AI and RAN to unlock more business opportunities and enhanced efficiencies. MantaRay AutoPilot is part of the AI for RAN dimension, which means that we apply AI to augment RAN capabilities.
MantaRay AutoPilot field-proven in customer networks
Read our case studies to learn how our advanced AI and automation solutions support our customers.
100% accuracy in detecting network incidents
99% effort saved per day with autonomous contextualization
10,000 autonomous corrective actions per hour
30% higher cell utilization
10 percent average enhancement in downlink throughput
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