Press & Media
Announcements, coverage and research.
PRESS COVERAGE · August 19, 2026
everything RF: PhoenixAI combines passive RF sensing, AI and computer vision for accurate counter-drone detection
everything RF covers our research into solving the scale–range ambiguity problem in camera-based drone detection: by treating a 3.6 GHz 5G base station as an illuminator and the drone as a scatterer, a CNN trained on simulated RF power maps estimates drone range with a mean error of ~7 m out to 350 m — independent of drone size.
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ANNOUNCEMENT · July 28, 2026
The sky is getting crowded — and knowing what's really up there shouldn't be a guess
Our multi-sensor fusion engine combines noisy, disagreeing feeds from independent radar, RF and optical sensors in real time into a single, high-confidence master track for every intruder drone — each one tracked individually with a stable identity. A core building block for reliable, real-time airspace awareness.
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ANNOUNCEMENT · March 4, 2026
PhoenixSI partners with Neocean Marine to build next-generation AI-powered defense drone ecosystems
A strategic collaboration combining Neocean Marine Technologies' expertise in advanced marine and defense platforms with PhoenixSI's intelligent systems architecture — accelerating scalable, secure, mission-critical drone ecosystems for modern defense operations.
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ANNOUNCEMENT · February 2, 2026
PhoenixSI & Virginia Tech announce collaboration on software-based anti-jamming for autonomous robotics
Building autonomous robots and drones that sense, learn and adapt in real time under GPS denial, RF interference and adversarial jamming.
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ANNOUNCEMENT · October 12, 2025
PhoenixSI partners with Atriano for global deployment of AI-powered defense solutions
Combining PhoenixSI's multi-sensor fusion with Atriano's global execution network for governments and enterprises worldwide.
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PRESS RELEASE · July 15, 2025
3D drone mapping with edge computing
Launch of AI/ML technology bringing together drones, stereo vision and 3D reconstruction.
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ANNOUNCEMENT · February 22, 2025
5G command & control: redefining drone connectivity
Low-latency, high-bandwidth, fully encrypted 5G C2 for smarter, safer, more autonomous drone missions.
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RESEARCH PAPER · December 15, 2024
Reinforcement learning enabled UAV path planning to optimize cellular connectivity
An RL model that lets BVLOS drones learn from the RF environment to stay connected over 4G/5G networks.
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ANNOUNCEMENT · November 30, 2024
Introducing P-NEXUS — jamming-proof, GPS-denied edge autonomy for 5G airspace
A TAA/NDAA-compliant edge autonomy stack combining Pixhawk flight control, NVIDIA Jetson Nano, 5G modem and global eSIM in a plug-and-play platform.
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RESEARCH PAPER · October 15, 2024
RL based UAV trajectory optimization to avoid jammers and optimize wireless connectivity
A reinforcement learning algorithm that avoids RF and GNSS jammers while keeping connectivity and minimal deviation from the planned route.
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