Fraunhofer Institute for Microelectronic Circuits and Systems
Fraunhofer Institute for Microelectronic Circuits and Systems
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Edge AI Plattform

Easy development and integration of proprietary AI models into embedded systems

Edge AI Plattform

The Edge AI Plattform enables companies to develop their own AI models directly for their products and integrate them seamlessly into embedded systems. AI pipelines can be developed, evaluated, and rolled out via a web-based application—without in-depth expert knowledge in the field of embedded AI.

Work is currently underway on the Edge AI Plattform 3.0, which is based on three interrelated subprojects. Development is thus being driven forward step by step: from model development and optimization of AI pipelines to integration into edge devices.

About the project

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© Fraunhofer IMS
Overview of Edge AI Plattform 3.0

More and more products require integrated AI functions, but traditional development processes are complex, time-consuming, and require specialized expertise. Many manual steps and long development times slow down innovation and delay market launch.

The Edge AI Plattform aims to provide companies with cost-effective access to embedded AI. By developing powerful AI models that can be created and implemented without specialized expert knowledge, development processes are significantly accelerated and time-to-market is significantly reduced. At the same time, the platform enables the rapid and resource-efficient implementation of prototypes and proofs of concept. Product development teams thus gain low-threshold, practice-oriented access to AI technologies, which shortens innovation cycles, reduces development costs, and allows new market potential to be tapped more quickly.

© Fraunhofer IMS
Customer benefits of the Edge AI Plattform 3.0 presented in a compact format.

The Edge AI Plattform automates and accelerates the entire development process—from task description to ready-to-use model. Users define their application and upload data, while the platform handles training, optimization, and deployment.

As a result, they receive optimized software libraries, detailed performance reports, and recommendations for suitable microcontrollers—all via an intuitive user interface.