Pre orders start period from February 28 to March 28, 2025
How to create AI with only 0.26 Watts, take care of the world...
Coming soon March 28, 2025.
Easy and simple AI for everyone...
Ego One
The first USB with machine learning for smartphones, a simple and
easy way to create, use and innovate artificial intelligence models.
Everything locally from your smartphone. . .
Training and running AI models.
We have created the software and the first USB to run AI models from training to execution all from your smartphone.
Design new models...
Develop your own models in a matter of minutes, as well as practical mobile applications only use 0.26 Watts energy and supports direct extension serial connection with AppInventor.
You don't need to know how to program, use SciBlock...
You don't need to know how to program, use our visual language, just join the blocks with AI functions and in minutes create functional applications in a simple and easy way...
“Imagine a world where AI (Artificial Intelligence) can be used by everyone, and everyone can create it. Design, create and use your own AI models simply and easily way. All locally from your Smartphone."
Guillermo Vidal / Founder at ooEGO.com
We present…
Ego One is the first USB Machine learning for Smartphones, simple and easy to use, plug and play...
Run machine learning models, neural networks and matrix calculations, your creativity is the limit. Its dimensions (centimeter = cm) 6 cm * 2 cm * 1 cm and ready-to-use models make it a practical and easy-to-carry device.
- Only 0.26 Watts of energy (3-3.6V / 80mA).
- ( ≈ 480 MOPS* using dual-core).
- Cryptographic hardware acceleration (AES, RSA, SHA and RNG)
- WiFi Complies with 802.11b/g/n
- Bluetooth LE/v4.2 BR/EDR Class-1, class-2 and class-3 transmitter.
- 4 MB flash.
Supports Windows, Linux, Android and FreeRTOS.
Supports extension serial AppInventor and direct connection to your smartphone.
Arduino IDE and MicroPython development environments.
Taking care of the world is optimizing resources.
- 480 MOPS = 480 Million Operations per Second = 480, 000,000 Operations per Second. (peak calculation, may be lower depending on the model being trained, data type or inference applied.)
