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AI for Autonomous Systems in the Real World

AstraQua builds intelligence for autonomous systems that need to perceive, reason, coordinate, recover, and learn when GPS, connectivity, or human supervision cannot be guaranteed.

Our Mission

Intelligence for Resilient Autonomous Systems

Our mission is to bring AI into the physical world by building the intelligence layer for resilient autonomous systems.

AstraQua enables machines to perceive their environment, reason onboard, coordinate with other systems, and act reliably in real time whether connected, intermittently connected, or operating without communication.

Most AI is built for the cloud. Real autonomy requires intelligence where decisions happen: onboard machines, across coordinated systems, and within real-world operations spanning air, land, sea, and space.

AstraQua enables autonomous systems from drones and vehicles to robots and satellites to operate safely and intelligently where autonomy matters most.

Autonomy Breaks When Conditions Aren’t Perfect

Autonomous systems are moving into environments where GPS can fail, connectivity is limited, cloud compute is unavailable, battery life is constrained, and human supervision is too slow. To operate safely and extend mission endurance, machines need efficient onboard intelligence systems that can perceive, reason, coordinate, recover, and learn using limited compute and limited power as real-world conditions change.

Low battery and No GPS no communication

Autonomy for Real‑World Operations

Powered by AQFM™, AstraQua’s AI platform for efficient autonomy in real-world environments.

Perception & Awareness

AI-powered perception helps autonomous systems understand their environment, detect change, and maintain real-time awareness using visual, sensor, and system data.

Onboard Reasoning

Local intelligence that enables autonomous systems to reason, plan, and make decisions without relying on continuous cloud connectivity.

Coordination

Multi-agent intelligence that enables autonomous systems to share context, collaborate when possible, and maintain mission continuity when conditions change.

Resilience & Learning

Fault awareness, recovery, and adaptive learning that help autonomous systems operate safely, improve over time, and respond to real-world uncertainty.

Supported by Leading Innovation Partners

AstraQua is supported by NASA, NSF, NVIDIA, MathWorks, Microsoft, and university partners.

Through federal innovation programs, technical startup ecosystems, and university collaborations, AstraQua has strengthened its technology, refined its modeling capabilities, and advanced its work in resilient autonomous systems. These programs connect AstraQua with research, engineering, commercialization, and technical resources that support the development of real-world AI for autonomous systems.

National Science Foundation
National Aeronautics and Space Administration
AstraQua and Nvidia partner via inception program
NVIDIA
MathWorks
Microsoft
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