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AstraQua Solutions

Specialized intelligence. Coordinated autonomy.

Help your autonomous systems respond when conditions, capability or mission priorities change. Our modular architecture is being developed to connect perception, navigation, reasoning, system health and coordination. Start with the capability your operation needs most.

AQFM™: our shared intelligence foundation, in development.

Four entry points. One architecture.

From awareness to coordinated action

These are connected capabilities, not sequential stages. Perception interprets the surroundings; mission planning turns objectives into proposed actions; fleet coordination distributes work. AstraSense contributes internal condition and remaining capability throughout planning, execution and recovery. Specialized agents can support one machine or a coordinated fleet.

Understand the surroundings

Perception & Navigation

What is around my machine, and where can it go?

Interpret visual and sensor data for detection, tracking, localization and navigation. Supply observations and confidence to the mission-planning workflow.

  • Detection and tracking
  • Localization and navigation context
  • Observations and confidence

Wildfire response · Search and rescue · Offshore operations

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Plan and direct the mission

Mission Planning & Control

How does my objective become an executable mission?

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

  • Objectives and mission plans
  • Human authorization and oversight
  • Replanning and recovery decisions

Search and rescue · Mining · Lunar and space operations

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Coordinate the fleet

Fleet Coordination

How should machines divide and reassign work?

Support coordinated tasking across autonomous assets as priorities, availability, and operating conditions change.

  • Multi-asset coordination
  • Task allocation and reassignment
  • Shared execution and progress

Mining · Smart construction · Offshore operations

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Maintain self-awareness

Operational Self-Awareness

What can my machine still do as its condition changes?

AstraSense™ is the specialized health-intelligence agent in development within this architecture. Its role is to keep diagnosis, prognosis and uncertainty connected to remaining capability and mission decisions as conditions change.

  • Real-time machine self-awareness
  • Actionable diagnosis and prognosis
  • Planning, replanning and return or recovery

Aircraft · Spacecraft · Humanoids · Mobile robots

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How it connects

Connected capabilities. Continuous self-awareness.

ENVIRONMENTPerception & Navigation

Interpret surroundings, position and change to inform navigation and mission planning.

MISSIONMission Planning & Control

Turn objectives and constraints into proposed plans, with defined authority.

FLEETFleet Coordination

Allocate responsibilities and coordinate execution across assets.

CONTINUOUSOperational Self-Awareness

Use AstraSense condition and remaining-capability context throughout planning, execution and recovery.

A health change should change the mission decision.

A rising temperature matters when it changes which task, route or recovery option remains feasible. Our development focus connects health evidence with perception, mission demand and fleet availability—so reasoning can propose reduced demand, reassignment or recovery, with an explanation and defined authority.

The AQFM connection

AQFM: the shared intelligence foundation

AQFM—the Adaptive Quorum Foundation Model—is our shared intelligence foundation in development. Deployment is scoped across onboard compute, local operations and cloud. Start with one capability and evaluate how shared context reduces the work of reconciling separate outputs.

Building safe AI for autonomous systems

Our development approach brings aerospace, space and automotive safety-engineering experience to robotics.

  • Defined operating boundaries and deterministic safety controls where applicable
  • Traceable requirements, verification and validation
  • Simulation and hardware testing, with deliberately engineered fault responses

Discuss the capabilities available for your program, the integration approach and the evidence relevant to your application with our team.

Use cases

Explore the mission context

Explore seven Mission Lab simulations combining observations, mission reasoning, coordination and AstraSense health context. Scenarios use synthetic signals and rules; they illustrate the architecture direction, not live AQFM inference or field performance.

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Integration

How we integrate

Start with one system, one capability and a clear engineering goal.

  1. Define the scope. Agree on the platform, data inputs, operating boundaries, operator authority and acceptance criteria.
  2. Connect the software. Select an edge, local network or cloud deployment and document interfaces with your existing system.
  3. Validate the behavior. Evaluate nominal, degraded and fault conditions against agreed requirements before expanding the integration.

Start with your operational challenge

What does your system need to do next?

Tell us what your system needs to achieve and what is holding it back. We’ll help define a focused evaluation around your mission, available data and success criteria.