Xtremis.ai builds distributed, AI-driven situational awareness and control systems that virtualize the RF spectrum to enable dynamic, on-demand wireless access. Its spectrumOS platform leverages a massive heterogeneous sensor network spanning 10 MHz to 30+ GHz, converting raw data into normalized sets and APIs for real-time mission applications. Subscriptions are currently restricted to U.S. Government agencies and qualifying partners, with commercial licenses in development.
Funding
Funding not disclosed
Founders
Product
Problem
The proliferation of wireless devices has intensified demand for RF spectrum access, yet the current allocation model permanently assigns frequency bands to licensed users regardless of actual usage. This static approach creates inefficiency, scarcity, bottlenecks for deployment, and intense competition for finite spectrum resources.
Solution
Xtremis provides spectrumOS, a massively distributed information system that virtualizes the spectrum and enables dynamic, scalable access for RF and wireless assets at machine speed. The platform integrates advanced AI, data science, and automation to optimize spectrum utilization across the most demanding electromagnetic environments. It leverages a massively distributed, heterogeneous sensor network that collects high-resolution RF data, then normalizes these data sets for parallel, real-time use by multiple applications. Interfaces expose hardware and data services through APIs, allowing mission-specific applications to operate with real-time spectrum awareness and control.
Target Audience
Primary customers are U.S. Government agencies and qualifying U.S. Government partners seeking advanced spectrum situational awareness and control for defense and other critical missions, with future commercial and civilian market applications planned.
Features
- Massively distributed, heterogeneous RF sensor network collecting high-resolution data from 10 MHz to 30+ GHz
- Normalized data sets and low-level data services provisioned for parallel, real-time users and applications
- AI-driven analytics, data science, and automation for improved spectrum utilization and dynamic access control
- APIs that expose hardware and data services to mission-specific applications, enabling RF in-the-loop DevOps
- Cloud-native platform designed for scalability and machine-speed response in spectrum-dense environments