• Artificial Intelligence
  • Machine Learning
  • DataScience
  • Hardware & IOT

Byteflies is a Belgian-American wearable health company.

Our team of medical experts, engineers, and data scientists is passionate about revolutionizing today's healthcare, one vital sign at a time.

Our main office is in Antwerp (Belgium), closely located to major life sciences and clinical research centers. Our second office, located in the San Francisco Bay Area (California), operates in the heart of digital innovation.

With its hardware-software platform, Byteflies offers the necessary tools to make wearable health development lean.




TensorFlow is an open-source software library for dataflow programming across a range of tasks.

It is a symbolic math library, and also used for machine learning applications such as Neural Networks.

TensorFlow was developed by the Google Brain team for internal Google use. It was released under the Apache 2.0 open source license on November 9, 2015

TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them.

The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. 



Github Links:



Element AI

Element AI

Element AI is a Montreal,Canada based AI Startup,Artificial intelligence solutions provider that gives organizations unparalleled access to cutting-edge technology.

Co-founded in 2016 by established entrepreneur Jean-François Gagné and leading AI researcher Yoshua Bengio in the deep learning hub of Montreal,

Pioneering an AI-First world by turning the world’s most important AI research into transformative business applications.

As authorities in artificial intelligence with deep domain expertise and access to cutting-edge technology.

Element AI products and services address all the AI needs of an organization — from strategic roadmapping and ready-to-deploy applications, all the way to implementation of transformative business solutions through our AI as a Service (AIaaS) platform.

With a renowned faculty fellow network, the largest privately-owned Canadian artificial intelligence R&D lab,

As well as a growing network of specialized business partners,the ideal team to take on your organization’s AI challenges.

Element AI Faculty Fellow network includes over 20 world-renowned AI scientists from the best academic labs including the Montreal Institute for Learning Algorithms, McGill University, University of Toronto, the Institute of Data Valorization, the Vector Institute, University of Waterloo and the University of British Columbia.

This network is a unique opportunity for top researchers to debate and work closely with peers from adjacent domains and work on real-world applications


Total funding:102,000,000

No of Funding rounds: 2

ElementAI Founders: Jean-Francois Gagné, Yoshua Bengio




OrCam harnesses the power of Artificial Vision in an intuitive portable device that compensates for lost visual abilities.OrCam MyEye 2.0 is all about using technology to help blind and visually impaired people achieve increased independence.

OrCam’s mission is to harness the power of artificial vision by incorporating pioneering technology into a wearable platform which improves the lives of individuals who are blind, visually impaired, and have reading difficulties.

OrCam was jointly founded in 2010 by Prof. Amnon Shashua and Mr. Ziv Aviram, who are also the co-founders of Mobileye, the collision avoidance system leader and autonomous driving innovator. The original OrCam MyEye device was launched in 2015, and the next generation OrCam MyEye 2.0 was launched in 2017

Co Founder:

Prof. Amnon Shashua holds the Sachs Chair in Computer Science at the Hebrew University of Jerusalem. His field of expertise is computer vision and machine learning. For his academic achievements, he has received the Marr Prize Honorable Mention in 2001, the Kaye Innovation Award in 2004, and the Landau Award in Exact Sciences in 2005.

Mr. Aviram is one of Israel’s most esteemed managers. Before co-founding OrCam, Mr. Aviram co-founded Mobileye, an Israeli technology company that develops vision-based advanced driver-assistance systems (ADAS) providing warnings for collision prevention and mitigation. Today 90% of the world’s leading automobile manufacturers rely on Mobileye technology to make their vehicles safer to drive. 

He is the co-founder of Mobileye, an Israeli technology company that develops vision-based advanced driver-assistance systems (ADAS) providing warnings for collision prevention and mitigation.





OrCam to Launch Next Generation of Artificial Vision


OrCam’s MyEye for the visually impaired: ‘It’s opened up a whole new world



Predible Health

Predible Health

We are an AI startup, building delightful products for cancer radiologists. Looking for beta users for our first product in Liver Cancer!

Predible Health, which runs an artificial intelligence-based cancer radiology platform, has raised an undisclosed amount from impact investor Unitus Seed Fund.

"Unitus’ funding will enable Predible to scale up the development of our cancer AI platform as well as invest in regulatory approvals for our existing products," said Predible Health chief executive Suthirth Vaidya. "Our clinical validation studies are displaying positive results and we are now working to bring our offerings into clinical practice."

The startup says it has processed more than two million images since its inception in 2016, and it is aiming to touch 500 million images by December 2020. It currently has tie-ups with healthcare institutions such as Tata Memorial Hospital in Mumbai, Mahajan Imaging in Delhi and Narayana Health in Bengaluru.

Predible Health facilitates cancer diagnosis through its artificial intelligence powered clinical applications for liver and lung cancers which enable radiologists to interpret images faster and with more accuracy. It has developed algorithms to help physicians characterise diseases as well as plan and deliver personalised treatment.

The company has developed two flagship products, including Predible Liver, which assists surgeons with precise planning for liver transplant and tumour resections through instant analysis and 3D visualisation of liver lesions and hepatic structures. Built on the cloud, the solution can be accessed by hospitals across India with an internet connection

Company details:


Bangalore, Karnataka

Year founded:

Company type:
Privately Held

Company size:
11-50 employees



Farmers Edge is a global leader in decision agriculture servicing over 20 million paid product acres worldwide with precision digital solutions. Integrating field-centric data, easy-to-use software, state-of-the-art processing technology, predictive modelling, and advanced agronomic analytics, we provide growers with scalable solutions to produce more with less. Founded in 2005 in Pilot Mound, Manitoba, the company has grown to a team of over 550 employees, operating in Canada, USA, Australia, Brazil and Russia.

Using innovative digital agronomic tools, Farmers Edge solutions focus on the sustainable production of high-yielding, high-quality crops and are designed to optimize inputs, minimize environmental impact, and protect economic viability of the farm. From seed selection to yield data analytics, Farmers Edge transforms big data into timely and accurate insights to support informed decision making.

With a network of specialists ranging from Solution Sales Specialists, Precision Technology Specialists, Precision Agronomists and Software Developers, we offer diverse roles that require an in-depth understanding of farming operations and advancing farm technologies. We offer in-house training, competitive salaries, health benefits and opportunities for attractive performance bonuses. Farmers Edge is committed to growing and retaining a diversified and passionate team that supports the fast-growing development and success of the company.


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