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rApp Studio
Build Smarter rApps Faster.
Zinkworks rApp Studio provides a no-code, Open RAN-native environment that enables network operations teams to build and operationalize AI enabled rApps directly within multiple SMO environments. By combining rApps with contextual network data, the platform supports more intelligent, closed-loop operational workflows as network operators continue their journey toward greater network autonomy. Zinkworks rApp Studio also includes pre-built rApp templates, models and Policy Actions designed to address common network operations use cases, helping teams accelerate adoption while maintaining operational control.
Your KPIs. Your intelligence. Your network impact.
rApp Studio turns RAN expertise into production-grade rApps, delivered in days, not months.
rApp Studio combines:
- Integrated machine learning model training and validation.
- Policy configuration and lifecycle management in one environment.
- Governance controls for compliant, production-ready rApps.
- Accelerated deployment to operational RAN environments.
01
Design Use Case
Automate network behaviour with a visual drag-anddrop canvas, no-code or data science required.
02
Configure ML Model
Automate network behaviour with a visual drag-anddrop canvas, no-code or data science required.
03
Define Policies
Set up policy gates, validation rules, and governance controls to guide model behaviour.
04
Deploy and Monitor
Package, deploy, and continuously monitor your rApp in the target environment.
Proven in Production
Vodafone’s Fast Track to AI-Driven RAN Automation
From idea to deployed rApp in under a week.
Vodafone’sNetwork Innovation team set a challenge to create and deploy multiple rApps to their network. Fast deployment of rApps and quick time-to-value was required. Using rApp studio, they defined workflows, trained a model and packaged a deployable rApp. What normally required multiple specialists and handoffs was compressed into an efficient, repeatable process.
Value to Vodafone:
- In-House rApp Development: Vodafone can now build their own rApps internally, putting control of their automation roadmap back in their own hands.
- Multi-SMO Abstraction: A single development environment across multiple SMO vendors, eliminating the complexity of varying R1 implementations and deployment requirements.
We are working to simplify and accelerate the deployment of AI-powered applications that directly improve the customer experience. This platform allows us to focus on delivering a stronger, more reliable signal and greater network capacity while meeting our sustainability goals.
We built rApp Studio to solve a complex delivery problem in the RAN space. Teams were spending months co-ordinating data, models and deployment just to get a first rApp into a sandbox environment. This studio gives them a repeatable path, clear governance and evidence they can trust. It shortens time to value for each rApp by at least a 10x order of magnitude. Additionally, lifecycle management is intentionally simple, if model accuracy drifts or the network changes, rebuilding and retraining can be done in minutes.
The Business Impact
Speed
From idea to deployed rApp in under 24 hours, compress what used to take months into a single working day.
Control
Track, reconfigure, and retrain every rApp from one platform as your network evolves.
Optimise
One RAN engineer can build and manage an rApp portfolio that once required a full cross-functional team.
Scale
Build once, deploy across multiple SMO environments without rework or duplication of effort.FAQs
01 What is rApp Studio?
rApp Studio is an rApp builder to create, train and deploy rApps to your network with a repeatable workflow.
