Embedl, a MobilityXlab portfolio startup and one of the pioneers of our innovation program, has partnered with Zenseact, helping them to optimize deep learning models and execute efficiently in embedded systems. This interview with Ola Tiverman, CPO of EmbeDL, is an excellent read for anyone interested in startup-corporate collaborations, with tips on tackling PoCs and pilots and acquiring a paying client. “Knowledge sharing is the main benefit of starting the relationship from a close collaboration project instead of a regular sale transaction.”...
Our Mission
We help customers build extraordinary
Deep Learning based products.

Accelerated
Time-to-Market

improved Product margins

Better Product Specifications

Value Added Partnership
SOLUTION
Embedl Model Optimization SDK enables you to deploy deep learning on less expensive hardware, using less energy and shorten the product development cycle.
Embedl interfaces with the commonly used deep learning development frameworks, e.g. Tensorflow and Pytorch. Embedl also have world leading support for hardware targets including CPUs, GPUs, FPGAs and ASICs from vendors like Nvidia, ARM, Intel, STMicroelectronics, Texas Instruments, Qualcomm and Xilinx.









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Less Energy Usage
The demand for energy is ever increasing in today’s society and it will grow even more with the emergence of AI driven solutions. While Deep Learning based solutions have provided ground breaking performance in many different fields, they consume a lot of energy not only during training but also during deployment. This is most crucial...
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 780681, No 957197 and No 190109922.