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Revolutionizing Earth Observation with Edge Intelligence

Delivering near real-time, actionable insights with cutting-edge machine learning deployed at the edge—on satellites and ground stations.

Orbital Edge computing using Machine Learning

The Problem

Current Earth Observation systems face delays in data downlink, limited bandwidth, and intensive post-processing, limiting real-time decision-making for critical applications.

Aviary's Solution

Onboard ML-driven data reduction and edge processing deliver only high-value insights. Our low-latency platform enables critical applications like wildfire detection and disaster management, maximizing data impact.

Pilot Case-Anomaly Detection:
Wildfire Detection and Reporting Under 10 mins

Our innovative ML solutions and advanced computer vision algorithms provide highly accurate feature detection for anomaly detection. Aviary is launching its first wildfire anomaly detection system in collaboration with partner satellites, enabling near-instantaneous identification of fire hotspots in vulnerable regions.

The Results

Enabling time-critical operations like wildfire detection, disaster response, and security monitoring

Real-Time Insights

Transmitting high-value data instead raw data, hence efficient Use of limited bandwidth

Optimized Bandwidth

Decreases need for cloud storage, operations, and post-processing infrastructure

Reduced ground Processing Expeneses

Earth with Data Connections

Upcoming Launch in Fall 2025.

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Created by a Team of Space and AI Industry Professionals

Our collective expertise from organizations such as NASA, ESA, Capella Space, Google, and Caltech. Unique strengths in space systems, edge computing, and machine learning integration.

Image by NASA

© 2025 Aviary, All Rights Reserved.

Contact Info.

info@aviaryai.space
 

Address:

NASA Ames Research Park,

PO 24, Moffett Field, CA, 94035

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