Raw Signals
IMU, GNSS, FOG, Optical, Magnetometer
Engineering the Foundation
of Physical AI.
Precision sensing, intelligent navigation and real-time state awareness for machines operating in the physical world.
02
Seven Core
Technologies.
From materials and algorithms to system engineering, our technologies build the foundation for reliable autonomy.
Explore all technologies 01 Foundation Technology MEMS and atomic-level precision manufacturing for high-stability sensing. 02 Algorithm Technology Calibration models, drift suppression and state estimation for reliable machine motion. 03 Signal Technology Filtering, amplification and interference rejection across real sensor inputs. 04 Environment Technology Temperature, shock, vibration and field-condition validation for harsh deployment. 05 System Technology Integrated hardware, firmware and navigation stacks for deployable platforms. 06 Fusion Technology Multi-source sensor fusion for robust position, attitude, velocity and heading. 07 Application Technology Domain adaptation for autonomous mobility, robotics, marine and mission-critical systems.
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From Sensor
Signals to
Embodied State.
A complete data chain from raw signals to real-time, reliable state awareness.
Signal Conditioning
Filtering, amplification and interference rejection
Calibration
Temperature, bias,scale factor and nonlinearity
Sensor Fusion
Multi-source data fusion for robust states
State Estimation
Position, attitude, velocity and heading
Embodied State Interface
Reliable machine state foundation for Physical AI.
04
Validated by
Engineering,
Not by Claims.
Every system is proven in real-world conditions before delivery and deployment.
View validation details
Navigation Validation
RTK positioning: up to < 2 cm FOG bias stability: 0.001 deg/h GNSS-denied continuity.
Environment Validation
Operating temp. -55 C to +125 C IP-rated configurations available Shock & vibration; MIL-STD-810H.
System Validation
Calibration & testing: full 6-DOF Integration support Lifecycle service.
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Precision. Reliability. Confidence.
The foundation technologies powering the future of autonomous systems.