Precision that adapts.
Navigation that endures.

The performance gap between expensive, tactical-grade INS systems and low-cost, automotive-grade MEMS IMUs. Automotive OEMs need high-performance dead-reckoning but are constrained by automotive cost targets.

QuGIVE's advanced tight-coupling algorithms bridge this gap, extracting maximum performance from low-cost hardware and delivering reliable navigation in urban canyons and tunnels where others fail.

The critical security vulnerability of millions of deployed GNSS receivers that lack protection against spoofing. The only available solutions typically require a complete hardware replacement.

QuCore offers a low-cost, high-impact firmware-only path to spoofing immunity for existing hardware. Its 1-Hz tracking bandwidth makes it practically immune to spoofing attacks, and its 20-dB processing gain provides a secondary benefit of improved performance in weak signal environments.

QuCore technology brings major improvements to satellite navigation systems by combining GNSS and inertial sensor data in a smarter, deeper way  than traditional methods.

Deep Sensor Fusion

‍Unlike traditional systems that combine GNSS and inertial data after initial signal processing, QuCore blends them much earlier - at the signal-processing level.

The need for the highest level of anti-jamming and anti-spoofing protection in new designs for defense and critical infrastructure. Hardware partners may lack the specialized IP to develop their own CRPA processing solutions.

QuShield provides a modern, software-defined CRPA processing engine that competes head-to-head with the best solutions, offering partners a ready-made, best-in-class resilience solution.

Protecting GNSS signals from jamming and spoofing using 
multi-element antennas and cascaded beam-forming.


• Pre-correlation jamming mitigation
• Post-correlation spoofing mitigation


The dual-layered defense allows QuShield to handle even sophisticated attacks that combine jamming and spoofing, keeping GNSS-based systems accurate, reliable, and secure.

The high cost, long development time, and significant R&D risk associated with integrating new and diverse sensor types (vision, LiDAR, radar, etc.) into a navigation system.

QuBlend acts as a universal sensor abstraction layer. Its object-oriented, "building block" architecture de-risks development for hardware integrators, allowing them to rapidly test and deploy new sensors without redesigning their core fusion software.

QuBlend is a true plug-and-play navigation software that automatically adapts whenever you add or remove sensors – 
no redesigns, no extra coding required.

Why this matters

• You can quickly upgrade to better or cheaper sensors as they become available
• The same software can work across different platforms - cars, drones, and more

• You can easily test how new sensors affect navigation performance during development

The unreliability of raw sensor data in the real world. GNSS signals are corrupted by multipath in cities, and vision systems produce outliers. A fusion engine is only as good as the data it receives.

QuGate is the crucial "garbage filter" that makes sensor fusion robust. Its layered approach of statistical gating and adaptive de-weighting ensures that the fusion engine is fed only high-integrity data, dramatically improving the reliability of the final position output.

QuGate technology enables consistent and reliable sensor-fusion under challenging environments by mitigating measurement outliers.

Example applications

• ‍‍Mitigation of GNSS multipath errors in dense urban environments
• Mitigation of outliers in vision measurements