Deeplite team

As discussed in our previous blog post, compressing large deep learning models will pave the way for many new AI applications and enable AI to assist our everyday lives. This makes model compression a hot research area, provoking multiple intense online discussions, including many blogs and media...

Right from the start, Deeplite’s mission has been to make AI deep neural networks faster, smaller and more energy-efficient. We want to enable AI for everyday life on any device and in the cloud. tinyML® Foundation is focused on bringing together embedded hardware, software, and machine learning...

Montreal, Canada – September 23, 2020 – Montreal-based AI startup Deeplite, Inc, announced a research partnership with Mila, an academic research institution dedicated to advancing artificial intelligence (AI), with a strong focus on deep learning optimization to enable AI/ML in the cloud and at...

Why Do You Need to Optimize Your DNN Model?

At Deeplite, we believe that AI (Artificial Intelligence) is here to enhance the way we interact with things that we use to create a better life. From a drone inspecting terrain or a camera looking for defects in manufacturing materials to your phone...

Curious to see how Deeplite's AI optimization software helped ARM enable visual inspection at the edge for smart manufacturing? Read ARM and Deeplite's recent blog post about unlocking AI on Arm Microcontrollers with Deep Learning Model optimization.

Today Deeplite was recognized by CB Insights 2020 AI100 List of Most Innovative AI Startups! We are honoured to be on this prestigious list of global companies. A big shout out to our world-class team and partners who are shaping the future of accessible and affordable AI!

We are incredibly excited to team up with BlackBerry QNX, the real-time operating system in over 150 million vehicles, and L-SPARK, Canada’s largest SaaS accelerator!

Andes Technology, a leading Asia-based supplier of high-performance low-power compact 32/64-bit RISC-V CPU cores and a founding Platinum member of the RISC-V Foundation, and Deeplite, Inc. today announced the results of their joint collaboration to deploy highly optimized deep learning models on...

Canadian Innovation Exchange (CIX), Canada's largest curated startup investment conference, has announced their Top 20 Early Stage startup for 2019. Deeplite is beyond proud to be recognized as a top 20 startup, thanks to our tremendous team, partners and collaborators who made this possible! 

Deeplite, Inc. today announced the appointment of successful Canadian technology entrepreneur Nick Romano as President and CEO. After being spun out of TandemLaunch, a company creator and seed fund, the appointment of Mr. Romano is an important step towards the full-scale commercialization of...

Ten young alumni entrepreneurs were selected to discuss what it takes to succeed as an entrepreneur today with two of Concordia’s leading professionals in the field of innovation.

Startup Canada has announced all the regional winners of its annual awards at ceremonies that took place in Whitehorse, Vancouver, Edmonton, Mississauga, Montreal and Fredericton.

Deeplite and PowerArena are two energetic and visionary startups that look forward to maximizing on Deep Learning and Artificial Neural Networks in a broad global market. Both startups exhibited at CompuTEX Taipei 2019.

Garage+, a Taipei-based startup incubator and accelerator with Taiwanese tech companies such as Quanta Computer, Acer, Logitech and MediaTek, announced their 8th cohort of international startups to visit Taipei for the COMPUTEX Conference.

Startups from 17 nations have applied to join the MobilityXlab innovation hub for the autumn period 2019. The aim is to create the future of mobility together with MobilityXlab’s partners CEVT, Ericsson, Veoneer, Volvo Cars, Volvo Group and Zenuity at Lindholmen Science Park in Sweden.

XILINX fosters a quick start program to enable companies to accelerate products and services for FPGAs in the cloud. Target workloads include data analytics, genomics, video processing, machine learning, financial technology, security and storage.

The emergence of deep learning and AI technologies on mobile and embedded devices has created exciting new possibilities for applications such as detecting cancers, self-driving cars and smart homes.

On August 17th the AI developer community descended onto Montreal. This dev camp focused on bringing AI engineers and students together to hear from local speakers, including Deeplite CTO Ehsan Saboori and Intel OpenVino team members.

A conference organized by the Canadian Germany Chamber of Industry and Commerce Inc., this event includes discussion from leading AI companies and researchers. Deeplite joined the panel on AI & Energy-Efficiency, moderated by Dr. Rudiger Rentsch of University of Bremen.

The Emerging Entrepreneurs Contest recognizers and rewards Quebec-based up-and-comers who contribute to the advancement of business by demonstrating remarkable creativity and innovation. The 25 laureates are invited to participate to C2 Montreal 2018, courtesy of the Claudine and Stephen Bronfman...

Autodesk invites researchers, students, professionals, startups and companies who use Deep Learning to share. The event includes a scientific part with posters and a part with talks, including Deeplite’s co-founder and CTO Ehsan Saboori.

In May 2018, nineteen innovative tech startups took the stage at the Fundica Roadshow’s Montreal event to compete for $500,000 in investment prizes and prestige.

The NVIDIA Inception Program nurtures cutting-edge AI startups who are revolutionizing industries. This virtual accelerator offers various GPU and deep learning-oriented support for future leaders of AI industries.

The AI startup Battle recognizes the 5 most innovative and successful AI startups in Canada to present at the Big Data Toronto 2018 conference.

Code_n Finalist Deeplite recognizes the cost and performance limitations of AI processing and created an intelligent optimizer, a solution that satisfies the performance constraints of deep learning systems to make AI faster, smaller and more efficient to run on any device.