Bring Cloud-Standard AI to Microcontrollers

Dialogs, security, multimodal triggers — once cloud-only,
now on microcontrollers with our IP

We license AI software modules (SW IP) for microcontrollers that bring real intelligence to embedded devices: they can listen, understand, talk, and see — all offline, ultra-low power.

 

Why OEMs Choose Us

Cloud-standard features, offline.

Voice, security, multimodal AI now run on microcontrollers.

De-risked adoption.

DIY demos, eval kits, and PoCs show value fast.

Platform flexibility.

From ESP32 prototypes to Arm® Ethos™ production.

Proven maturity.

API, metrics, and integration guides already in place.

OEM Benefits

Faster time-to-market

PoCs deliver in weeks, not months.

Lower OPEX

Fewer false alerts, less cloud use, fewer service calls.

Minimal BOM increase

A microphone or trigger logic adds premium features at tiny cost.

New revenue streams

Launch Pro SKUs and expand into new markets.

Privacy & compliance

All logic runs offline, simplifying approvals.

Ride the Waves of Edge AI

Be First with TinyLM on MCU

Lead with Multimodal Edge AI

Win with Private & Secure AI

Solutions Across Industries

Smart Appliances

  • Voice UI for microwaves, AC, washing machines.
  • Not mp3 — real dialogs & dynamic TTS status.

Smart City & Security

  • SoundGuard detects critical sounds offline.
  • VoicePIN adds offline access.
  • Gate — Offline License Plate Recognition Gate Opener.

Toys & EdTech

  • AI Teacher for English & math.
  • TinyStories + TTS: offline storytelling.

Robotics

  • VoxControl Kit demo: offline voice dialog.
  • Multimodal triggers (VWW + SoundWW).

How We Work

01

Evaluate
We provide a demo module, access to prototype projects, and API; you test your scenario on your own setup

02

Pilot
We fine-tune models and parameters together; if needed, you can plug in a custom network via our API

03

License & Integrate
You license the SW IP, embed it into your device, and scale up production

Proof that Builds Trust

Real-world creativity fuels OEM success

It can look like a contradiction: we build embedded AI modules and software IP for OEM integration — yet we actively invest in the DIY / maker ecosystem.

It isn’t a contradiction. It’s our strategy. Here’s why:

  • Proven by real people.
    We ship early to engineers, educators, and makers who push limits, test edge cases, and give blunt feedback. By the time OEMs touch it, the tech is field-tested.
  • Ready-made use cases.
    Public projects (Hackster/Tindie) show practical applications — from voice-driven toys to access control — so OEMs can adapt proven ideas and derisk prototyping.
  • Social proof → trust.
    Partners don’t just see specs — they see results reproduced by independent developers.
  • Two-way innovation.
    We don’t just publish — we listen. The community suggests features, tests betas, and sometimes invents new use cases that make the product better before scale.
  • Community energy, enterprise stability.
    DIY is our sandbox for innovation and ecosystem growth; OEM customers get the benefit as curated, stable, enterprise-ready solutions.
DIY projects are not products — they are trust-building proofs that make OEM adoption faster, safer, and more inspiring.

Ready to Add Voice & AI to Your Devices?

We help OEMs and integrators reduce risks, accelerate development, and add intelligence to their devices.

Fast Proof of Concept

Modules
Ready-to-use HW+SW modules
API
Simple developer interface for OEMs
Prototypes
Real Hackster projects
(gate barrier, wildlife trap, smart toy)

Partners

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Technical Facts (for Engineers)

ASR/TTS

Designed for strict memory/latency constraints; fast cold start

sLM on MCU

Offline multi-intent command handling, text advice, and dialog generation

SoundGuard

Detection of critical sounds

Vision (VWW) + custom models

Load and update model via our API

Arm Ethos-U optimizations

Pipeline tuned for microNPU SoC

API contracts

Stable, with examples (integration in 1–2 days)