From autonomous rail monitoring to non-invasive healthcare diagnostics — every engagement ends with a system that works in the real world.
Autonomous magnetic sensing & AI-based anomaly detection for rolling stock and depot operations.
Edge-deployed inference with sub-100 ms latency. Zero false-positive deployments over 14-month field trial.
Multi-sensor data fusion engine providing a unified, real-time operational picture for airborne platforms.
Fusing RF, inertial, optical and radar streams into a single state vector. Designed for SWaP-constrained airframes.
Real-time perimeter anomaly detection combining magnetic sensing with on-device AI classification.
Deployed at energy and water facilities. 99.7% detection rate with <0.01% false-positive rate.
Quantum magnetometry-based perimeter security for forward operating bases and restricted zones.
Zero-trust comms architecture with end-to-end encrypted telemetry. Detects ferromagnetic threats at range.
Multi-sensor fusion stack for BVLOS UAV operations — IMU, RF, optical and environmental channels.
Resilient navigation under GPS-denied conditions. Demonstrated in maritime and urban canyon environments.
Non-invasive physiological sensing using ultra-low-noise magnetic and RF signal acquisition.
Approaching clinical-grade precision without skin contact. Pre-clinical validation ongoing.
Distributed environmental sensing network — atmospheric and radiation monitoring for nuclear and industrial sites.
Mesh-networked sensor nodes with secure cloud aggregation. 13-month continuous uptime.
Zero-trust security framework for constrained IoT and edge sensor nodes.
Firmware signing to encrypted cloud egress. Verified to IEC 62443-3-3. Supports OTA secure updates.
Intelligent depot automation — inertial sensing, computer vision, and predictive AI for maintenance scheduling.
30% reduction in unplanned downtime in year-one. Full handover to client operations team.
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