Provides a plug-and-play counter-drone system that detects, classifies, and blocks unauthorized drones using radio frequency fingerprint technology and AI-assisted threat identification. The system prevents drone intrusions by de-synchronizing them from their remote controls, safely returning them to their origin while enabling tracking of malicious operators.
Funding
$2.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.



RVSCFounders
Product
Problem
Unauthorized drone activity poses a growing threat to sensitive locations, creating risks of espionage, terrorism, and disruption. Traditional security measures often struggle to detect and neutralize these aerial intrusions effectively. Current counter-drone solutions may also cause collateral damage or interfere with critical communications.
Solution
ApolloShield offers a comprehensive counter-unmanned aircraft system (cUAS) designed to detect, classify, and mitigate unauthorized drone incursions. Utilizing radio frequency (RF) fingerprinting technology and AI-assisted threat analysis, the system identifies drone communication signals and differentiates between benign and malicious activity. Upon detecting a threat, ApolloShield employs a non-kinetic "de-synchronization" method to safely return the drone to its origin, preventing further intrusion without risking damage or disruption. A vehicle-mounted RF locator system can then track the drone's remote control signal to identify and apprehend the operator.
Target Audience
ApolloShield serves government, military, law enforcement, and commercial organizations seeking to protect critical infrastructure, secure perimeters, and prevent unauthorized drone activity.
Features
- AI-assisted drone threat library that identifies new drone models and communication protocols
- RF sensors that detect drone presence and direction of approach up to 1 mile
- De-synchronization technology that blocks unauthorized drones by disrupting communication with their remote controls
- Vehicle-mounted RF locator system for tracking down drone operators
- Command center software that provides real-time alerts and enables automatic or manual intrusion blocking
- Integration with existing security systems via API
- Available as stationary, mobile, and vehicle-mounted configurations