Solutions
Open RAN Toolkit
Bringing the power of MLOps & Automation to ORAN.

Are you already planning to deploy Open RAN software?
While vendor-specific network equipment and software solutions can work well for certain use cases, they may also come with some limitations and drawbacks, such as vendor lock-in, lack of flexibility, higher costs, limited innovation, and security risks.

Have you started to explore the potential of developing r-Apps for non-RT RIC?
In the absence of r-Apps, operators may encounter suboptimal network performance, heightened congestion, or elevated costs, among others. Consequently, this can limit to fully leverage of the advantages associated with network slicing, load balancing, congestion management, and network optimization.
- Suboptimal network performance
- Increased congestion
Are you getting the most out of your SMO/RIC investment?
- Customer needs are not being promptly addressed
- Weak market position and network inefficiencies

Tupl's Open RAN Toolkit represents an rApp development environment that enables Domain experts to deploy their knowledge as digital assets
What benefits can you expect from Open RAN Toolkit solution?
Less
r-App LOE
Faster
r-App development
Higher
Compatibility with SMO/RIC
Transform RAN Domain Experts into r-Apps developers with a low-code, UI-based framework that speeds up time-to-market
Based on TuplOS, our MLOps platform for Hyperautomation
- O1 client, A1 functions, and r-App service exposure functions added for R1 interface to fulfil Service Management and Orchestration and non-real time RAN Intelligent Controller functionality
- Feature engineering and Machine Learning model definition and training allows RAN domain experts to create and deploy their own r-Apps
- Python-based development toolkit for creating and deploying cloud r-Apps, controlled and managed by Tupl's solution
Leverages machine learning for efficient incident resolution
- Continuous monitoring of KPIs and prediction of causes of incidents using a trained machine learning model.
- Creation of tickets with recommended actions, such as O1 CM changes or A1 policies.
Machine learning training for optimized troubleshooting and analysis
- Define KPIs to aggregate ORAN interface data counters.
- Define ML features based on RAN SME experience and observations.
- Create and train ML model with Tupl MLTK, capturing expert knowledge during training.
- Generate dataset with Tupl Synthetic Data Generator or label real data samples for training.
Get a demo of Open RAN Toolkit software today
Get started and request a demo to learn how Open RAN Toolkit can help you.
Frequently Asked Questions
Below you will find answers to the most common questions about OPEN RAN.
How does Tupl Open RAN Toolkit software work?
What type of actions does Tupl Open RAN Toolkit address?
Tupl Open RAN Toolkit provides recommendations for network optimization, such as troubleshooting, adjusting configurations, resource allocation, implementing power saving policies… It automates various network processes, such as service provisioning, network monitoring, fault detection, NOC operations… reducing manual intervention in many fronts. Operators can also leverage Tupl Open RAN’s r-App development environment to create and deploy customized applications that address specific network challenges. Having the possibility to face new challenges is key to be ready for the future networks.
How do r-Apps work?
SMO and its non-RIC deliver value through Radio Access Network (RAN) automation applications (rApps). rApps enable service providers to automatically and quickly manage service policies, flexibly adapt to the always-evolving customer needs, seamlessly apply RAN transformations as well as keep control of the network optimization and availability. Most importantly, rApps will prepare you for future networks!