DeepBro provides an AI‑defined software‑defined radio platform that dynamically optimizes modulation, demodulation, error correction, and digital coding in real time to boost throughput and resilience of LEO satellite downlinks.
Funding
Funding not disclosed
Founders
Product
Problem
Low Earth Orbit (LEO) satellite constellations generate massive volumes of Earth observation data, but existing ground‑station communication protocols cannot keep up with the high data rates, leading to bottlenecks and loss of valuable information during each overflight.
Solution
DeepBro delivers an AI‑defined software‑defined radio (SDR) platform that dynamically optimizes modulation, demodulation, error correction, and digital coding in real time. Deep‑learning models continuously adapt the radio parameters to the current channel conditions, reducing noise and increasing throughput without requiring hardware changes at the ground station. The system integrates with a distributed edge network of datacenters and connects to customer ground stations via optimized Radio‑over‑IP (RoIP), enabling both live streaming and post‑recorded processing of downlink data. By embedding intelligence directly in the SDR stack, DeepBro provides higher‑speed, more resilient satellite downlinks that can scale with the growing LEO data demand.
Target Audience
Primary customers are operators of LEO satellite constellations and their ground‑station service providers who require higher‑capacity, reliable downlink solutions for Earth observation, remote sensing, and communications data.
Features
- Real‑time AI algorithms that adjust modulation schemes, demodulation pipelines, and forward error correction based on live link quality metrics
- Software‑defined radio architecture that runs on existing ground‑station hardware, eliminating the need for new RF equipment
- Integrated Radio‑over‑IP gateway for seamless, low‑latency transport of raw radio streams to edge datacenters
- Distributed edge processing network that can decode, demodulate, and analyze received signals on‑the‑fly or from recorded recordings
- Adaptive digital coding that maximizes spectral efficiency while maintaining link robustness under varying atmospheric and interference conditions
- End‑to‑end data pipeline that delivers cleaned, decoded payloads to customers with minimal manual intervention