Autonomous machines need to understand their surroundings, know their own limits and work together. AstraQua is developing a modular intelligence architecture that connects these capabilities—from one machine to a coordinated fleet.
Our mission is to connect what a machine observes, what it can still do and what the team needs next. Operational self-awareness makes changing capability part of the decision.
Limited power, uncertain positioning and interrupted communications change what a system can do. We develop efficient intelligence that helps machines interpret these conditions and supports mission decisions within defined operating limits.
AQFM™: our shared intelligence foundation, in development.
AQFM—the Adaptive Quorum Foundation Model—is our shared intelligence foundation in development. Specialized agents contribute perception, reasoning, system health and coordination. AstraSense adds operational self-awareness: understanding how a machine’s condition changes what it can do next.
AstraQua brings aerospace, space and automotive safety-engineering experience to robotics, developing AI with defined operating boundaries, deterministic safety controls where applicable, and behavior designed for verification and validation.
Interpret visual and sensor data for detection, tracking, localization and navigation context.
Connect objectives and constraints with proposed mission plans, tasks and authorized decisions.
Coordinate task allocation and reassignment across assets as mission priorities and available capability change.
Develop AstraSense health intelligence to inform planning, execution and recovery continuously as a machine’s condition changes.
—Loay Elbasyouni
CEO, AstraQua
