AUDIO FIRST · ON-DEVICE / FAR-EDGE · MULTIMODAL

oto — ear · cyon — dog

Together, Otocyon names the bat-eared fox: a highly adapted canid that finds what others miss by listening beneath the surrounding noise.

Hear beyond sound.

Audio-first AI systems that uncover meaning across audio, IoT & sensors, video and other physical signals.

FROM SIGNAL TO WORKING SYSTEM

From problem definition and representative data through deployment and operation, we build complete AI systems for complex operating environments. These systems are tailored for low-cost, low-power far-edge deployment. Field data drives continuous system learning.

Sense

Audio, vibration, vision and sensor signals from complex operating environments.

Learn

Data and learning pipelines shaped around the real event, device and environment. That often means learning from limited data.

Operate

Inference on microcontrollers, embedded AI platforms and larger edge devices, with cloud coordination and autonomous learning from field performance.

SPECIALIZATION

Audio first.
Multimodal by design.

We go deepest in real-world audio, while building multimodal AI across IoT & sensors, video and other physical signals, with LLMs used for configuration, supervision and system coordination. Continuous learning is driven by field data.

Acoustic intelligence IoT & sensors Video Condition & degradation monitoring LLM oversight Low-power far-edge inference Real-time Train from limited data Autonomous field learning

REAL-WORLD PILOT COLLABORATIONS

A hard, useful problem is a good place to start.

We are opening a small number of pilot collaborations, with particular interest in commercial and industrial products where audio, vibration, sensor or operating data can create measurable value — through event detection, condition & degradation monitoring, and early identification of emerging failures — in new or existing systems at low incremental cost.

Victoria / Vancouver · Ottawa / Montréal / Toronto

Tell us about the problem