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Embedl Model Optimization SDK revolutionizes the world of deep learning deployment by offering a cost-effective solution that not only saves on expensive hardware but also significantly reduces energy consumption. By harnessing the power of Embedl Model Optimization SDK, developers are empowered to accelerate the product development cycle, resulting in faster time-to-market and increased competitiveness.

What we do

Efficient Edge AI

Embedl develops advanced solutions for efficient AI deployment in embedded systems. With nearly a decade of research, we help AI leaders in automotive, defense, and emerging industries build cutting-edge, resource-efficient AI products. Our technology streamlines development, driving innovation and competitive advantage.

Embedl Model Optimization SDK

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Edge AI platform

Stay updated on edge hardware benchmarks to compare models and hardware, ensuring performance needs are met and keeping up with trends for efficient edge AI applications.

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Research
Projects

Research

Embedl is a spin-out from Chalmers University of Technology and research continues to be at the heart of what we do. We are exploring many different areas related to our mission of bringing DL to embedded systems. Topics include deep learning compression, network architecture search, quantization strategies and hardware design.

Learn more about our research projects 

95 %

Up to 95% Reduced Memory Usage

83 %

Up to 83% Reduced Energy Consumption

18 x

Up to 18x Faster DL Inference on Device

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The Grand Prize for Engineering

The Grand Engineering Prize for Rising Star goes to Jonna Matthiesen, a researcher in deep learning at Embedl. The award is given to young engineers who, despite being at the start of their careers, have already demonstrated exceptional potential to make a difference.
 

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Embedl: Optimizing AI Models with “Brain Surgery” Precision

Embedl has been selected to join the prestigious Ny Teknik - 33 List, a recognition reserved for the top innovators making a difference in technology. This honor is a reflection of Embedl’s dedication to driving efficiency and sustainability in the AI world. This moment is not only a celebration of the team’s hard work but a spotlight on the transformative potential of AI model optimization.

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Embedl is Praised for Pioneering AI Technology

By winning IVA's Smart Industry 2024 award, Embedl is being recognized as a leader in driving digital innovation and advancing Sweden's industrial competitiveness. The award highlights the company's contribution to modernizing the industry through intelligent solutions that promote both technological progress and environmental responsibility.

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Our products are used in the automotive , IoT and aerospace industries and can be applied to any field where AI is deployed in a product.

Industries

Automotive

The automotive industry is known for its competitiveness and for being a cost-sensitive environment. Every company that wants to thrive in this market needs to be extremely careful with how they spend their resources. Embedl Model Optimization SDK integrates smoothly with popular automotive development frameworks and tools. Read more...

 

IoT

The Embedl Model Optimization SDK streamlines deep learning models for IoT devices, enhancing performance by addressing memory limits, reducing inference times, and cutting power use. Deploy superior applications in diverse industries and unleash your devices' full potential with Embedl. Read more...

 

Aerospace

Aerospace, represents an industry that places the utmost importance on the quality and performance of its components. Every material and component used in aerospace applications undergoes rigorous testing and certifications to ensure its reliability and safety. Our SDK helps ensure components meet stringent standards while accelerating development cycles. Read more...

What clients are saying

  • A great theme, wonderful design and very easy to customize. Also, their support is incredible - every question got answered fast and with quality solutions. Very recommended!

    Jack Roy Digital Marketing Manager

  • A great theme, wonderful design and very easy to customize. Also, their support is incredible - every question got answered fast and with quality solutions. Very recommended!

    Jack Roy Digital Marketing Manager

  • A great theme, wonderful design and very easy to customize. Also, their support is incredible - every question got answered fast and with quality solutions. Very recommended!

    Jack Roy Digital Marketing Manager

  • A great theme, wonderful design and very easy to customize. Also, their support is incredible - every question got answered fast and with quality solutions. Very recommended!

    Jack Roy Digital Marketing Manager

From our office

Our organization's success and dynamic culture are anchored by our employees. We value them for their unique skills, dedication, and the passion they bring every day!

Open Positions

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

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

Meet us at upcoming events

INCABIN.SENSING SUMMIT
INCABIN.SENSING SUMMIT
6 December, 2024

Join Embedl at INCABIN.SENSING SUMMIT 2024! December 08 – 10, 2024 The Henry, Dearborn, Michigan Don't miss Peter's Keyn...

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Simplify Edge AI Hardware & Model Selection!
Simplify Edge AI Hardware & Model Selection!
3 December, 2024

When building deep learning-based applications for Edge AI, it’s tempting to focus solely on model accuracy. But what ab...

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Elmia Subcontractor
Elmia Subcontractor
31 October, 2024

Embedl will be exhibiting at Elmia Subcontractor from November 12 to 14, 2024. Visit us at Booth D02 to explore our late...

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Don't wait! Let's do it together!

Discover the limitless possibilities of Embedl and experience a whole new level of efficiency, affordability, and innovation in the field of deep learning.

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euro flagThis 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.