Perception & Navigation
Interpret visual and sensor data to understand surroundings and inform where a machine can go.
Explore perceptionPhysical AI with defined boundaries
System awareness for safer missions. We’re developing AI that connects surroundings, machine health and capability limits to help systems continue, adapt, slow down or stop.

AQFM overview
AQFM—the Adaptive Quorum Foundation Model—is our shared intelligence foundation in development. It connects perception, reasoning, system health and coordination around operating limits. AstraSense contributes health awareness so mission decisions reflect changing capability.

One architecture. Connected capabilities.
Changing conditions demand more than a fixed plan. Our modular architecture connects the environment, the mission and the capability of each machine.
Interpret visual and sensor data to understand surroundings and inform where a machine can go.
Explore perceptionConnect objectives, constraints and current capability with proposed plans and authorized decisions.
Explore mission planningAllocate and reassign work as priorities, operating conditions and available assets change.
Explore coordinationAcross every decision
What can this machine still do? Connect health and remaining capability to planning, execution and recovery.
Explore AstraSenseAQFM™ Our shared intelligence foundation, in development. Integration and operating boundaries are defined with each program.
Recorded demonstration · 59 seconds
Watch AstraQua’s visual perception demonstration, then explore the technical context behind detection and tracking.
A recorded demonstration of specific capabilities; it does not establish performance across every operating environment.
Explore the demonstration Watch on YouTubeTry the Mission Lab
Launch a mission. Introduce a fault. See how health evidence can inform reduced demand, reassignment or recovery.
Seven simulations use synthetic signals and rules—not live AQFM inference or field-performance evidence.
A machine’s condition changes during the mission.
Connect health evidence with remaining capability.
Explore a revised plan, reassignment or recovery.
Our engineering approach
Our approach starts with clear requirements, operating limits and testable behavior. Mission Lab fault scenarios and regression checks verify illustrated responses; deployed systems need separate validation.
Meet the team“Engineering is as much about solving human problems as it is about solving technical ones.”
Research and startup programs
National Science Foundation
NASA
NVIDIA Inception
MathWorks
MicrosoftStart with your operational challenge
Tell us about your platform, operating constraints and the decision you need to improve.