Support Software-based r-Apps (via R1 interface).
Extensive coding requirements
Siloed RAN expertise
RAN Intelligent Control
Future-proof application
90%
Less LOE r-App
100%
Consistency
100%
SMO/RIC compatible
0
Code maintenance
Open RAN standard interfaces O1, A1, R1; FCAPS (DataOps mediation) and External Data Enrichment capabilities
UI & Python-based r-App development toolkit to create and deploy code-based rApp
ML Explainability with Tupl’s Contextual Situation Analysis
Get started and request a demo to learn how ORAN SMO/RIC Toolkit can help you.
Below you will find answers to the most common questions about ORAN.
ORAN is designed to fit within an operator organization’s daily workflow on network performance and troubleshooting processes.
ORAN connects to relevant data sources, key ones being configuration, topology and network counters and KPIs.
The AI Engine correlates data from multiple sources to automate the detection, troubleshooting and action recommendations for network performance issues
ORAN SaaS is delivered in cloud service (e.g. AWS, Azure, etc.) and can also be deployed on-premises, in your private cloud or data center.
It is easy and quick to get started, fit for a faster procurement process, with a functional solution in operation within a week.
Monthly subscription. No strings attached. Stop at any time.
One key design principle of the system is flexibility, so as long as the proper data sources are integrated, and enough training samples are provided, any root cause that is relevant to you can be addressed.
It typically depends on a combination of targeted number of root causes, number of features required to model them and the number of available samples to train the system. Some of the models created by ORAN have reached over 90% accuracy.
Not at all. ORAN leverages unsupervised clustering techniques to detect group issues with similar patterns and helps you analyze as many problems as required to train your model in the most efficient way.
ORAN works in conjunction with other systems within your company, such as Ticketing, SON, CM, or Work Order management systems. Just as any engineer would do.
No coding skills or database modeling are required, only general concepts from data science are advisable to make the most of the system. ORAN relies upon TuplOS, Tupl's AI engine, which is a set of utilities designed to synthesize and digitize the complex knowledge base from your engineers and free them to focus on putting their expertise to work.
Tupl can guide you through the process via a coaching and training program from our services team.
Get started and request a demo to learn how ORAN SMO/RIC Toolkit can help you.
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