The sensing domains behind great AI products

15 years of hands-on engineering across voice, vision and motion — plus the edge-AI expertise to run models on the device.

AI hardware succeeds on the details most teams underestimate: which microphone, which antenna placement, which NPU, which quantization scheme. This is the depth we bring to every project.

Voice & Audio

Acoustic and voice-pipeline engineering from the membrane to the model.

  • Far-field mic-array design (2–6 mics)
  • Acoustic structure & wind-noise design
  • AEC, beamforming & noise suppression
  • ASR / LLM integration — on-device or cloud

Vision & Imaging

From camera module to usable, real-time image intelligence.

  • Camera-module selection & ISP tuning
  • On-device CV pipelines (detection, tracking)
  • NPU acceleration & model conversion
  • Low-light & power-optimized imaging

Motion & Control

Making devices move — smoothly, precisely and quietly.

  • Motor & actuator selection, FOC motor control
  • IMU fusion & motion/gesture recognition
  • Servo & kinematics for compact robots
  • Haptic feedback design

Edge AI

Running real models on real hardware, within real BOM targets.

  • SoC / NPU selection against BOM targets
  • Model optimization: quantize, prune, distill
  • On-device LLM / ASR feasibility & benchmarking
  • Power & thermal co-design

Have an AI hardware product to launch?

Tell us about your project — product type, target market and timeline. We'll come back with a feasibility read and an NRE quote.

Start a Project