“No Magic. Just Genius” – Meet with MicroEJ at CES 2026!

Las Vegas, USA

January 6th – 9th, 2026

No Magic. Just Genius.

January 6-9, 2026 – Las Vegas
Venetian Expo, Halls A-D – Booth #53029

Extraordinary devices do not rely on magic.
They win through velocity, agility, and vision.

At MicroEJ, we make complexity feel simple – so manufacturers can build without constraints, innovate faster with fewer resources, and deliver products that keep improving long after they ship.

This year at CES, discover how MicroEJ enables software-defined devices across three focus areas: Wearables, Energy, and Edge AI.

 

WEARABLES: Brand-First Wearables, Without Tech-Giant Lock-In

Unveiled at CES: the new Reebok Kinetic smartwatch powered by VitalOS

At our booth, experience:

  • A fast, intuitive user experience designed for real consumer products
  • Strong brand identity on-device, allowing brands to fully express their own look, feel, and interaction model
  • A ready-to-use app ecosystem, including the Facer smartwatch engine, giving access to over 500,000 watch faces on any watch
  • Up to 3x battery life compared to typical alternatives, without compromising user experience

From now on, brands no longer need to rely on tech giants. They can express their own identity on any model, delight users, and scale across product lines.

 

ENERGY: Smart Meters That Evolve Like Software

Latest news: Kimbal teams up with MicroEJ to power next-generation smart meters and accelerate global expansion

At CES, explore how MicroEJ enables energy leaders to:

  • Transform standard meters into software-defined platforms
  • Deploy new edge capabilities faster, without redesigning hardware
  • Future-proof devices with a continuous innovation model

Also on display:

  • Live demos from collaborations with Landis+Gyr and Sensus (a Xylem brand)
  • AI integrations for smarter, more adaptive energy devices

 

Edge AI that Works in the Real World

MicroEJ’s Edge AI Services bring intelligence directly onto devices – where latency, power, and memory really matter.

PicoAI: Unsupervised Edge AI for anomaly detection

  • Learns normal behavior locally
  • Detects anomalies in real time
  • No datasets, no labeling, no training pipeline
  • Runs on MCUs with extremely small memory footprints

MicroAI: Lightweight neural network inference

  • Local decision-making on low-power chips
  • Fast response, no cloud dependency
  • Designed for ultra-small silicon constraints

Qualcomm + MicroEJ: Gen AI services for next-generation audio devices

  • “AI is the new UI” for Snapdragon-powered audio
  • Downloadable apps combined with cloud intelligence
  • Personalized, adaptive sound experiences

 

We look forward to meeting you at MicroEJ exhibit booth 53029, Halls A-D, at the Venetian Expo in Las Vegas.

Book a meeting with one of our experts to discuss your next IoT project by clicking the link below.