Our team builds and prototypes with next-generation sensors across the electromagnetic, bioelectric, and kinetic domains:

> Bioimpedance analysis (BIA) for hydration, body composition, and early diagnostics
> ECG (electrocardiogram) waveform capture and filtering for cardiac data extraction
> EEG (electroencephalogram) signal processing for cognitive state monitoring
> Sensor fusion for real-time context-aware feedback across wearables and robotics
> Far-field audio & directional mic design from our broadcast-engineering roots

All projects include signal conditioning, noise reduction, edge processing, and calibration under real-world environmental constraints.

We're exploring the frontiers of digital cognition, cognitive fatigue detection, and embodied AI interaction.

> Closed-loop systems connecting brain signals to feedback engines
> Attention-state recognition for adaptive learning and alertness
> Integration of EEG/ECG/BIA data streams into health-aware interfaces and autonomous agents

We’re in active partnerships with robotics innovators and AI interface developers to power embodied experiences:

> Partnerships in progress with Hanson Robotics, UBTECH, and others
> Prototyping conversational AI overlays for humanoid agents
> Integration of physiological sensing (BIA, EEG, etc.) for robots that can perceive user states
> Autonomous edge reasoning frameworks built on local LLMs, privacy-by-design

Our roots in cryptography and secure communication fuel cutting-edge experiments in:

> Post-quantum cryptographic frameworks
> Bio-signal authentication using biometric entropy + zkProofs
> Privacy-preserving sensor data aggregation
> Embedded systems secured with hardware-based ID and attestation

Radmis Labs supports the intersection of IoT, zero-trust architecture, and sovereign digital identity.