Edge AI & On‑Device ML (TinyML)
Lightweight neural networks on microcontrollers for movement detection and bio-signal processing: real-time inference at the edge, no cloud dependence.
Off-the-shelf boards fail exactly where research gets interesting. We build hardware that survives the edge cases your data depends on.
Designed, built and documented under a single accountable roof.
On milestone completion the files, source, BOM and publication rights are handed back to you.
- What we deliver
Every file and board,
handed back to you. - 01
Edge Impulse and TensorFlow Lite
- 02
On-device, real-time inference
- 03
Movement detection and bio-signal processing
- 04
No cloud round-trip
Want this scoped against your project? Tell us what you have and we will map the path.
Scope this with us
Where it lands
on the path to launch.
Models are trained and quantized once the sensor data is trustworthy, then tuned on device.
- Phase 1
Proof of Concept
Development-board breadboarding, core sensor communication, and logic validation.
Not a focus here - Phase 2
Engineering Validation
Custom PCB layout, miniaturization, 3D enclosure printing, and bare-metal firmware.
This service is active - Phase 3
Design Validation
Fully integrated device delivery, optimized firmware, and diagnostic GUI integration.
This service is active - Phase 4
Launch Readiness
Small-batch fabrication, branding assets, marketplace listing, and compliance readiness.
Not a focus here
Have a device in mind?
We will build it from zero.
Describe the sensor, the form factor and the data you need. We scope the board, firmware and enclosure as one engineering path.