AI-Native Solutions

AI is redefining shared and unlicensed spectrum systems, delivering step-function improvements in power levels, efficiency, and protection for incumbents. An AI-native approach enhances every part of the Federated Wireless life cycle product suite—from planning and optimization to operational speed and scale. Our strategy focuses on the use of Physical AI, leveraging massive real-world data sets and GPU acceleration to drive smarter, faster, and more scalable spectrum services.

We’re building a future-proof architecture, starting with machine learning in the cloud and evolving to LLM-based AI agents deployed at customer edge clusters. The outcome is shared spectrum becomes more affordable, reliable, and high-performance—surpassing the predictability of exclusive 5G spectrum.

Speed & Scale

AI-powered tools reduce response times from hours to seconds across SAS, AFC, and planning applications.

Automated Planning

AI-driven automation of site selection and channel assignment slashes network design time from weeks to minutes.

Smarter Spectrum Allocation

Real-time adjustments, with AI operating directly at the RF layer, optimize performance to deliver higher power, more throughput, and less congestion.

Continuous Learning

AI self-improves with each deployment using field data and OEM feedback—driving long-term gains in accuracy and efficiency.

Edge AI Enablement

Future deployments will leverage edge GPU clusters for customer-specific inference, enhancing performance and reducing latency.

Unmatched Data Scale

400,000+ active CBRS radios, 700+ customers, 6+ years of operational data.

Live Network Insight

Proprietary access to real-time SAS and ESC data for superior AI model training.

Precision RF Modeling

Integration of LiDAR-derived 3D terrain and building meshes plus land-use, water and vegetation layers curated from multiple sources.

OEM Feedback Integration

Deep partnerships with OEMs enabling continuous learning and optimization based on real-world results.

Business Data Integration

Integrated business and competitive data with actionable Intelligence to plan, deploy and optimize networks.

Cloud-Native on AWS

Purpose-built for elastic scalability, secure multi-tenancy, and real-time data processing.

GPU-Accelerated Computing

Powering complex simulations, ray-tracing, and RF optimization at scale with site-specific computation.

Evolving AI Models

From ML models, continuously calibrated with production network telemetry, to full LLM-based autonomous agents for planning and operations.

Enterprise Security

Robust access controls, encryption, and auditability ensure trust and compliance.

Edge-Ready Architecture

Designed to integrate AI agents directly on customer edge GPU clusters for autonomous decision-making.

AI models unlock efficiency with GPU-powered AI that dramatically improves spectrum allocation, interference management, and power control.

Real-time learning systems in AI resolve interference dynamically, enabling more flexible and efficient use of shared spectrum.

Sensors have evolved into integrated, agentic AI sensors within RAN environments—driving continuous adaptation and automation.

Let’s Talk About AI-Native Solutions for You