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Physical AI with defined boundaries

Collective Intelligence.
Autonomy Anywhere.

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.

Loay Elbasyouni examining illuminated laboratory hardware.
Engineering at AstraQuaFrom the laboratory
Research milestoneNASA SBIR Phase IIRead the selection announcement Recorded demonstrationPerception in motionWatch detection and tracking Interactive Mission LabSeven mission scenariosExplore synthetic simulations

AQFM overview

One foundation. Connected capabilities.

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.

AQFM platform graphic linking drones, satellites, and ground robots
Conceptual architecture · in development.

One architecture. Connected capabilities.

See the world.
Understand what comes next.

Changing conditions demand more than a fixed plan. Our modular architecture connects the environment, the mission and the capability of each machine.

01 / Observe

Perception & Navigation

Interpret visual and sensor data to understand surroundings and inform where a machine can go.

Explore perception
02 / Decide

Mission Planning & Control

Connect objectives, constraints and current capability with proposed plans and authorized decisions.

Explore mission planning
03 / Coordinate

Fleet Coordination

Allocate and reassign work as priorities, operating conditions and available assets change.

Explore coordination

Across every decision

AstraSense™ · Operational self-awareness

What can this machine still do? Connect health and remaining capability to planning, execution and recovery.

Explore AstraSense

AQFM™ Our shared intelligence foundation, in development. Integration and operating boundaries are defined with each program.

Recorded demonstration · 59 seconds

See perception
in motion.

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 YouTube

Try the Mission Lab

When capability changes,
the mission should adapt.

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.

  1. 01
    Observe a change

    A machine’s condition changes during the mission.

  2. 02
    Understand the constraint

    Connect health evidence with remaining capability.

  3. 03
    Adapt the next decision

    Explore a revised plan, reassignment or recovery.

Our engineering approach

Safety shapes
the architecture.

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.”

Loay ElbasyouniFounder & CEO, AstraQua

Research and startup programs

  • National Science Foundation logoNational Science Foundation
  • NASA logoNASA
  • NVIDIA Inception program badgeNVIDIA Inception
  • MATLAB logoMathWorks
  • Microsoft logoMicrosoft

Start with your operational challenge

What does your system
need to do next?

Tell us about your platform, operating constraints and the decision you need to improve.

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