ReveillAI
AI Specialty Company Protecting Critical Infrastructures
from Unintentional or Malicious RF Interference
AI Specialty Company Protecting Critical Infrastructures
from Unintentional or Malicious RF Interference
We take raw signal data from our clients and transform it through Reveal —
our purpose-built
AI Monitoring Ecosystem for Spectrum Resilience. Reveal detects in near real time and can detect as well as predict anomalies, delivering actionable insights that reduce risk, minimize downtime, and strengthen decision-making. From integration to deployment, we work closely with our clients to ensure the system is fully aligned with their mission, environment, and goals.
Once we finish our initial analysis, we perform multiple quality checks. These tests are included in the price of our various packages. After testing, we deliver the results to our client along with a certification of the process.
Our goal is to deliver critical insights that clients can trust. We pride ourselves on producing highly accurate, decision-ready results when it matters most.
It is ReveillAI's purpose-built AI Monitoring Ecosystem for Spectrum Resilience. Reveal ingests raw RF data and applies operationally advanced anomaly detection and predicting anomaly capability, with upgraded package, to expose interference before it impacts operations. Designed for mission-critical systems, Reveal works autonomously and scales across domains.
We don't just monitor spectrums—we detect, predict, protect, and optimize your operational resilience.
RF Disruptions Cost Time, Money, and Control
From telecom to defense, modern systems rely on clear, reliable spectrum. The RF spectrum is finite. In 2025 there are over 2.5 billion 5G wireless connections and over 27 billion wireless connected IoT devices. Those numbers are still growing. The spectrum is congested, which can cause signals to overlap resulting in interference/disruptions.
Reveal helps you: Detect hidden and intermittent threats, predict anomalies before failure and stay ahead of adversarial disruptions.
Built to Meet the Moment
Reveal supports organizations that depend on uninterrupted RF communication:
Partnership from Integration to Insight
We don't just deliver software. We partner with your team to:
ReveillAI
We excel in making proprietary technology for near real-time use.
We specialize in developing custom solutions that don't use open source on radio frequency data.
We provide our services across the globe with cloud technology.
The Federal Communications Commission (FCC) regulates the RF Spectrum in the U.S. under Title 47 CFR, including Part 15 for unlicensed devices (Wi-Fi, IoT, Drones) and Part 25 for satellite and space-based RF systems. If your RF emissions - even accidentally- disrupt public safety, aviation, satellite , or licensed communication systems, you can be fined, shut down, or publicly cited. It's a federal offense. Yet, the chances of causing an infraction have skyrocketed due to the congested spectrum.
Some RFI is unintentional - caused by adjacent-band overload, faulty devices, poor shielding, or rogue transmitters. But the fines and consequences are still very real.
Nextel (later Sprint) used 800 MHz spectrum adjacent to public safety channels. Their commercial systems caused interference to police, fire, and EMS radio systems - jeopardizing communications. FCC - mandated rebanding of the 800 MHz band. Sixteen years to complete 2004 to 2020. Even large, licensed carriers can cause interference in congested bands. The cost of spectrum conflict resolution can reach billions.
Towerstream operated devices using unlicensed spectrum in the 5 GHz band. These devices caused harmful interference to the Federal Aviation Administration's (FAA) Terminal Doppler Weather Radar systems, which are crucial for detecting wind shear and other dangerous weather conditions near airports.
ReveillAI enables organizations to:
Inference Application Centers
We use our AI capabilities to enable humans to do what we do best - act on intelligence.
Ground Commercial Entities
Telecommunications
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