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Rockfish DataFuel rApp

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Rockfish Data is an AI-powered rApp that generates privacy-safe synthetic telecom data for testing, simulation, and validation of analytics and automation rApps. It enables operators and developers to validate AI workflows, optimize network scenarios, and accelerate rApp development without relying on production data.

OUR KEY BENEFITS

Privacy-Safe rApp Testing at Scale

Rockfish Data enables rApp developers and network operators to test analytics, automation, and AI workflows using high-fidelity synthetic data that mirrors real network behavior without exposing sensitive production data. By simulating realistic network scenarios, edge cases, and rare events, Rockfish accelerates rApp validation, improves test coverage, and reduces dependency on live network access. This results in faster development cycles, safer experimentation, and higher confidence in rApp performance across diverse network conditions.

Scenario-Driven Network Simulation

Rockfish allows teams to generate targeted synthetic scenarios such as congestion events, performance degradation, traffic spikes, or configuration changes. These scenarios can be aligned to specific services, regions, or KPIs, enabling rApps to be tested against realistic and hypothetical network conditions before deployment in live environments.

Accelerated rApp Development

By removing the need for production data access, Rockfish shortens onboarding time for rApp teams, supports parallel development across vendors, and simplifies CI/CD testing workflows within the Ericsson Intelligent Automation Platform ecosystem.

rApp features Contact us Company Info

Product information

  • Ready for Trial
    Yes
  • AI Enabled
    Yes
  • Closed loop
    No

Company

  • Rockfish Data

Category

  • Automation Enablers

Technology

  • 4G
  • 5G

Vendors Supported

  • Ericsson

Rockfish Data provides an enterprise-grade synthetic data platform designed to power AI and automation workflows in telecom networks. Built on foundational research from Carnegie Mellon University, Rockfish enables operators and rApp developers to generate high-fidelity, privacy-safe telecom time-series and event data for testing, simulation, and validation. By removing dependency on sensitive production data, Rockfish accelerates rApp development, improves test coverage, and enables reliable deployment of AI-driven network automation within the Ericsson Intelligent Automation Platform ecosystem.

https://www.rockfish.ai/

https://www.rockfish.ai/use-cases