Neuton TinyML is a no-code AI platform that enables the creation of highly compact and accurate machine learning models. With its patented neural network framework, it simplifies the model-building process for edge devices.
How Neuton TinyML can help you:
- Automate the development of tiny ML models without requiring coding knowledge.
- Natively embed compact ML models into 8, 16, and 32-bit microcontrollers (MCUs).
- Provide a transparent, highly automated pipeline reducing the need for user intervention.
- Support the creation of models for diverse applications, including gesture control for TVs and smartwatches, handwashing detection, package delivery monitoring, and more.
Why choose Neuton TinyML: Key features
- A unique patented machine learning algorithm that builds neural networks without compromising accuracy.
- Ability to create extremely tiny models ideal for the smallest IoT devices without additional compression.
- A highly automated and user-friendly platform that doesn't require complex actions from the user's side.
- Application in a variety of real-world contexts, from daily human activity recognition to smart home control.
Who should choose Neuton TinyML:
- Developers looking to deploy ML models on edge devices without extensive coding.
- IoT professionals seeking to enhance device intelligence with minimal model size and power consumption.
- Innovators in smart device and wearable technology fields.
- Anyone interested in applying ML for predictive maintenance, gesture recognition, or activity monitoring.
