The Software Brain for Autonomous Systems
QAIR develops the software intelligence behind humanoids, robots, drones, and autonomous fleets. Physical robotics hardware can be supported through partner networks where required.
From sensor signal to autonomous decision.
We focus on the cognitive and orchestration layers of robotics: perception, world modelling, planning, control, and the operational fabric that makes autonomy safe, observable, and improvable.
Sensing the world with sub-millisecond fidelity.
Fused vision, LiDAR, and inertial perception stacks tuned for industrial reliability and edge-grade latency.
Robotics Intelligence Stack
Humanoid & Robotics OS
Behaviour stacks, skill graphs, and operating layers for humanoid platforms.
Perception, Planning & Control
Vision, sensor fusion, motion and task planning, and closed-loop control.
ROS 2 & Middleware
Robotics architecture, drivers, hardware integration, and DDS networking.
Fleet & Multi-Agent Orchestration
Dispatch, coordination, and policy across distributed autonomous units.
Teleoperations
Remote operator consoles, shared autonomy, and safety workflows.
Simulation & Digital Twins
Scenario generation, regression environments, and synthetic data pipelines.
Autonomy Assurance
Verification, validation, and operational safety case engineering.
From single unit to coordinated, observable fleet.
Dispatch, teleop, digital-twin testing, and safety case engineering — one operating layer.
Cognition Across Platforms
QAIR focuses on the software intelligence layer.
Where physical platforms, actuators, or sensors are required, we partner with established hardware providers and integrators. This keeps QAIR focused on the cognition, autonomy, and operational layers where defensible value is created.