IoTec-AI is your partner for building the next-level smart devices.
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Watch this video to get an overview of the main features at a glance.
NEW Support for the latest professional Arduino board: Portenta H7 !
Demo request What is TinyML? How we can help?TinyML is a technique or field of study in machine learning and embedded systems that explores which machine-learning applications (once reduced, optimized and integrated) can be run on devices as small as microcontrollers.
In 2030, ABI Research predicts the shipment of approximately 2.5 billion devices that feature TinyML. And, in just the next five years, Silent Intelligence forecasts that TinyML could "reach more than $70 billion in economic value."
Uses for TinyML are far-ranging and address convenience, communication, knowledge-sharing, matchmaking, entertainment, agriculture, predictive maintenance, and healthcare, to name a few. Today, the most common fields for TinyML application include audio analytics, pattern recognition, and voice human-machine interfaces. Here are just a few of the many compelling ways TinyML can improve processes, reduce costs, and increase the quality of life:
Building an AI-powered device from scratch is a complex and time-consuming task. You need to build a full-featured dataset, create and train the machine learning model, optimize it for the smart device, develop an appropriate application, flash this application to the mobile or edge device and test everything. Here below a typical workflow.
Furthermore, this is a long-running process involving multiple profiles: data scientists, embedded device software engineers but also product designers, testers, project managers, ...
IoTec-AI will help you in providing a collaborative online workbench for prototyping your smart edge device applications rapidly, supporting different dataset types (e.g. motion or environment data, audio, images, video), machine or deep learning algorithms , hardware development platforms, boards or NN accelerators (e.g. STMicroelectronics, Nvidia Jetson, Intel Movidius, Google Coral, Android/iOS, Raspberry pi or Arduino) in various business domains (e.g. Security, Health, Smart cities, Aerospace, IIoT, Automotive)
You'll be eligible to try our Demo release of our workbench for free.