Reaching Level 4 automation is not about layering on more AI; it is about the data that fuels it, and this quarter reflects that shift in action. RADCOM launched the Analytics Designer Module (ADM), powered by the new Real-Time Adaptive Streaming Engine (RASE), enabling operators to build and adjust KPI/KQIs on demand. RADCOM also announced a new partnership with Infosys, published a white paper on the assurance foundation for Level 4 autonomy, and showcased RADCOM Neura, our purpose-built AI agent suite.
RADCOM Analytics Designer Module (ADM) launched, cutting analytics changes from months-long projects to same-day deployment. The solution aggregates datasets at intervals as short as 10 seconds, powered by RADCOM’s new RASE, and produces live insights into service quality. Operators can build and update any KPI/KQIs from the raw data and aggregate it at the granularity that matters, all from an intuitive user interface (UI).
How Service Assurance Data Powers AI Agents on the Path to Autonomous Networks
Our latest white paper dives into what is holding operators back from Level 4 autonomy, what capabilities an AI-ready assurance foundation should look like and how Tier-1 operators are using assurance to support autonomous, customer-aware operations in live 5G standalone networks.
Learn more about RADCOM Neura, our purpose-built AI Agent suite that delivers end-to-end autonomous diagnostics and incident resolution workflows, while integrating seamlessly across OSS/BSS, service management systems, and third-party vendors.
RADCOM has partnered with Infosys to drive innovation in autonomous networks and proactive, preemptive customer experience powered by agentic AI. Infosys' global expertise in designing, deploying, and managing complex network projects, combined with RADCOM's unique data insights, makes this partnership a powerful value proposition for our customers.
Congratulations! RADCOM is proud to be part of the winning team at the DTW Ignite 2026 Catalyst Awards. "Agent Fabric: A2A-T Runtime – Phase III" was recognized as the Outstanding Catalyst in the AI & Automation category. RADCOM contributed AI-driven assurance agents as well as RADCOM Governance, our framework for governing agent interactions.
AI-RAN Has an AI Problem. It’s Called Data, by Stephen Dillon, Business Development and Support Services, explores the challenges of implementing AI-RAN networks as the industry shifts from predefined rule-based analytics to more autonomous operations with agentic AI systems.
Telecom Data Is the Operator's Most Strategic Currency, so Why is it so Hard to Spend?by Gennady Shenker, Director of Product Management, dives into both the opportunities and challenges of sitting on one of the most valuable data sets in the digital economy, and what operators need to do to move the needle forward.
RADCOM’s team was live on the floor in Copenhagen, connecting with telecom leaders, innovators, partners, and operators, showcasing how AI-native assurance and real-time driven insights with our new RADCOM ADM helps operators transform network data into improved customer experiences.
Rami Amit, CTO of RADCOM, joined a distinguished panel at Network X, Americas, with AT&T, Telus, and Amdocs to discuss AI at the RAN layer. The panel noted the value AI brings at the radio layer, but agreed the surrounding processes still need to evolve to deliver unified data, workflow automation that closes the loop, and governance that earns trust. A dynamic discussion on how new roles are emerging and whether the industry is ready for agentic AI.
“The uncomfortable truth is that if you don’t have clean data, you can’t make good solutions with AI for networks,” commented Raj Parmanand, Director of Customer Solutions Sales of RADCOM at FutureNet World. Raj joined an esteemed panel of experts from Virgin Media, Sunrise, Proximus Global and Caspera Lab, who also noted, “Once you have a network view and a subscriber view, then you can start to define clean data… If you are missing data from one of the elements, you need to accommodate it.”
