NEUTON AI

The vision behind Neuton.AI is to democratize access to machine learning, enabling businesses of all sizes to benefit from AI without needing specialized knowledge or hardware. The platform was created to address a gap in the industry—most AI solutions require significant computational resources and expertise, which are often out of reach for smaller organizations or for deployment on constrained devices like IoT sensors. Neuton’s founders recognized the need for an ML platform that could work within these limitations while maintaining high performance and accuracy.

The platform draws inspiration from the challenges faced by industries that require real-time AI processing on devices with minimal resources. For example, Neuton.AI models can run on low-power microcontrollers, making it possible to bring AI-driven capabilities to devices such as smart watches, medical wearables, and industrial monitoring sensors. This inspiration is evident in the platform’s capacity to deliver 33 times faster inference and models that are 14 times smaller than other frameworks, all without compromising on accuracy. More details on these benchmarks can be found at Neuton.AI.

Furthermore, Neuton’s commitment to scalability and accessibility extends to its focus on creating models that do not rely on techniques like quantization or pruning. By ensuring that models maintain their original size and functionality, Neuton avoids common pitfalls like reduced accuracy, making the platform suitable for mission-critical applications. The entire development journey was fueled by the goal of bringing AI innovation to the edge without barriers, as highlighted on their official page.

Neuton.AI is led by a group of highly experienced professionals in the fields of machine learning and TinyML. At the forefront is Andrey Korobitsyn, who serves as the Chief Executive Officer (CEO), driving the strategic vision and overseeing the company's development. The Chief Technology Officer (CTO), Blair Newman, brings a wealth of expertise in neural networks and is instrumental in shaping the platform’s innovative approach to automated ML model building.

Other key team members include Andrew Varfolomeev, the Head of Applied Science, and Danil Zherebtsov, the Head of Machine Learning and Analytics. Together, this team ensures that Neuton.AI continues to pioneer solutions that make TinyML accessible to businesses of all sizes.

Neuton.AI has also formed strategic partnerships with major players such as STMicroelectronics and Arm AI, which have helped showcase the platform’s capabilities at prominent industry events, including the tinyML Innovation Forum and Sensors Converge. These collaborations have expanded Neuton's reach in edge computing and sensor integration technologies.

Neuton.AI offers early access to its TinyML platform through free trials and demo opportunities, allowing users to experience the platform’s capabilities firsthand. This enables potential customers and developers to test the efficiency of Neuton's no-code ML models and evaluate their performance across various devices and use cases, particularly in edge computing scenarios. The beta program is an excellent way for early adopters to engage with the technology and provide feedback that could shape future enhancements of the platform.