Efficient Deep Learning

in Automotive and IoT

Our Mission

We help customers build extraordinary
Deep Learning based products.


improved Product margins

Better Product Specifications

Value Added Partnership



Our award winning Deep Learning Optimization Engine optimizes your Deep Learning model for deployment (inference) to meet your requirements of:

  • Execution Time (Latency)
  • Throughput
  • Runtime Memory Usage
  • Power Consumption

EmbeDL 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 and Xilinx.

We are happy to answer any questions and/or demonstrate EmbeDL on your Deep Learning model(s)!  

Want to learn more?



By using state-of-the-art methods for optimizing Deep Neural Networks, we can achieve a significant decrease in execution time and help you reach your real time requirements. 


The EmbeDL Optimization Engine automatically reduces the number of weights , and thus size of the model, to make it suitable to be deployed to resource constraint environments such as embedded systems


The tools are fully automatic, which reduces the need for time consuming experimentation and thus shorter time-to-market. It also frees up your data scientists to focus on their core problems.


Energy is a scarce resource in embedded systems and our optimizer can achieve an order of magnitude reduction in energy consumption for the Deep Learning model execution.


By optimizing the Deep Learning model, cheaper hardware can be sourced that still meets your system requirements leading to improved product margins.


Optimizing and deploying our customers’ Deep Learning models to embedded systems is what we do. By outsourcing this to us, your team can then focus on your core problems. 

Partners and customers

(Volvo Cars)


Chalmers University

Bielefeld University

Technion – Israel Institute  of Technology


Christmann Informationstechnik

Barcelona Supercomputing Center

Osnabrück University

Research Institutes of Sweden


Maxeler Technologies

Gothenburg University

Neuchatel University

Technisch Universität Dresden


We are humbled to have been accepted into the following networks bringing together industry, academia and startups.


The EmbeDL Optimization Engine has received several awards for its technology and implementation.


We are always flattered when our technology finds itself into media. To reach out with experience from our experimentation, we regularly post findings in our blog. Sign up for our newsletter below to not miss out!

Latest News

Science meetup with Butterfly Ventures and Horisont

Science meetup with Butterfly Ventures and Horisont

Join us for this session tomorrow with focus on the innovations of today's industries. You will meet Tanya Marvin-Horowtiz, Partner at Butterfly Ventures, Sandor Albrecht, Senior Project Manager at RISE and EmbeDL CEO and co-founder Hans Salomonsson.  More info and...

Latest Blog

AI & IoT – The coming revolution

AI & IoT – The coming revolution

This is the wonderful coming world of the Artificial-Intelligence-of-Things (AIoT) …  with a slight glitch at the end! The Internet of Things has arrived! It is a revolution in technology that will impact us all - both in our professional as well as personal life. The...

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 780681.