Christian Davila
Founder & CEO
PhD Mechanical Engineering, University of Arizona. Founder across solar energy, aerospace hardware, and food processing.
Software-Defined
Intelligence for
Satellite Downlinks
Adaptive space-to-ground communication solution to recover more usable data for every satellite pass.
Mission
We're building the intelligent software layer
for satellite-to-ground communications.
LEO satellites are generating more data than today's static links can handle. The downlink is constrained at both ends — fixed waveforms on the spacecraft, hardware-bound receivers on the ground. DeepBro puts cognitive, adaptive software on both sides of the link, maximising usable downlink as conditions change in real time.
The DeepBro solution
From signal to usable data, in real time.
DeepBro adds an AI software layer across the satellite-to-ground link, running onboard the satellite and at the ground station — adapting continuously to changing conditions during each pass, so you recover more data without replacing hardware on either side.
Real-time adaptation
Optimizes mid-pass as signal conditions change.
Hardware-agnostic
Works with existing satellites, antennas, SDRs, and GSaaS platforms.
Edge + Cloud
Low-latency AI in orbit and at the antenna, managed through cloud SaaS.
Platform capabilities
AI-defined radio for the satellite-to-ground link.
DeepBro's platform starts with a cognitive radio engine that runs onboard the satellite and at the ground station, letting both sides adapt to changing signal conditions in real time. Built on the same AI-defined software foundation, the platform expands toward antenna aggregation — a breakthrough approach to scaling capacity without the cost and complexity of traditional hardware-heavy systems.
Current MVP
Cognitive Radio Engine
Software-defined signal intelligence that runs onboard the satellite and at the ground station, letting both sides adapt to changing link conditions in real time — improving signal usability and reception during every pass.
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Automatic Modulation Recognition
Identifies modulation from raw IQ data in real time.
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AI Denoising
Improves usable signal quality under noisy or degraded conditions.
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Interference Detection
Detects signal anomalies and unwanted RF interference.
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Anti-Jamming / RF Resilience
Supports adaptive operation in unstable or contested RF environments.
Validated on live satellite signalsDeployed with pilot customerShared inference engine — onboard and on the ground
Breakthrough R&D
AI Antenna Aggregation
A software-first approach to coordinating distributed low-cost antennas so they can work together like a higher-performance ground system — creating a path beyond expensive, hardware-heavy infrastructure.
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Distributed antenna coordination
AI coordinates multiple low-cost antennas as a unified system.
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Software-first scaling
Expand ground capability without depending only on larger or more expensive hardware.
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Commercial scalability
A more scalable path than traditional hardware-heavy array approaches.
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Breakthrough potential
If proven, this could redefine how commercial ground infrastructure is built.
Traditional approaches rely on expensive hardware and are difficult to scale commercially. DeepBro is exploring whether AI and software can unlock similar gains in a more scalable way.
Our team
Researchers. Builders. Operators.
Academic depth in signal processing and edge AI, paired with the engineering and operational discipline to ship it on real ground stations.
Rashmi Wilson
Chief Product Officer
MBA + MS MIS, University of Arizona. Product, data infrastructure, and AI platform expertise.
Eduardo Morales
Lead AI Research Scientist
PhD CS (INAOE), SNI researcher. Embedded vision and edge AI for aerospace, agriculture, and biomedical imaging.
Jose Carlos Barreras
Associate AI Engineer
PhD candidate, UNAM. Real-time signal processing — from neural recordings to RF satellite data.
Get in touch
Let's talk about your satellite-to-ground link.
Whether you operate ground stations, build satellite constellations, or invest in space infrastructure — we'd like to hear from you.