10 Artificial Intelligence (AI) Companies to Watch - Live Assets

10 Artificial Intelligence Companies to Watch

May 7, 2022 -


Artificial Intelligence News in Canada


Artificial Intelligence (AI) has come a long way. Shifting from something out of a sci-fi fantasy, tech giants like Apple, Google and Amazon have brought AI into our homes and daily lives, giving us personal assistants like Alexa or Siri.


The AI industry is growing and expanding every day. In 2020 AI startups raised over $33 billion (USD), and the industry is forecasted to reach 126 billion US dollars by 2025. Moving outside of the tech world, AI has found a home in various industries such as healthcare, agriculture, automotive and many others.


If you’re interested in all things AI, here are ten companies to watch out for.


10 AI Companies to Watch

  1. People.ai
  2. Nvidia
  3. Tempus
  4. DataRobot
  5. Freenome
  6. H20.ai
  7. Nauto
  8. Bue River Technology
  9. Sift
  10. Vicarious




Industry: Software, workplace solutions

What they do: People.ai allows companies with revenue operations and intelligence platforms to take their business activity and turn it into essential insights used for sales, marketing and operations. Using AI automation, People.ai enables companies to make heavy-weight decisions swiftly and efficiently.



Industry: Hardware, Software

Who they are: Nvidia Corporation creates and manufactures graphics processing units and the hardware needed to work for various AI-enabled devices. These devices include everything and anything, such as robots, self-driving cars, or intelligent video analytics.



Industry: Health technology, biotech, bigdata

Who they are: With the assistance of AITempus analyzes mass amounts of medical and clinical data to personalize and optimize medical treatments. Tempus uses AI to make breakthroughs in cancer research and strives to create personalized treatments based on individual health needs.



Industry: Big Data

Who they are: DataRobot is a platform for data scientists to build and deploy machine learning models. By finding the best predictive model for their data, this platform helps companies problem solve and overcome challenges. DataRobot is used in a variety of industries such as healthcare, insurance, manufacturing and even sports analytics.



Industry: Biotech Healthtech

Who they are: Targeting the medical field, Freenome uses AI to perform cancer screenings and diagnostic tests. Through non-invasive blood tests, Freenome’s technology can recognize disease-associated patterns, which can predict cancer earlier, giving better treatment options with better outcomes.



Industry: Big Data, Software

Who they are: H2O.ai is an open-source platform for data science and machine learning offered to thousands of businesses around the globe. Servicing in various industries, H2O.ai gives companies predictive analytic tools to help them overcome critical business obstacles.



Industry: Software, Automotive

Who they are: Working in the automotive industry, Nauto develops software for smarter commercial fleets resulting in safer drivers. Nautos technology can detect distracted driving, alert drivers to oncoming risks, and act as a safety coach.



Industry: Security

Who they are: Previously known as Sift science, the company offers multiple online fraud management services. Sift sorts thousands of data points from around the web to learn and train in detecting fraud patterns. Using machine learning in conjunction with data science, Sift is a proactive solution to fraud.



Industry: Machine Learning, Robotics

Who they are: with backing from tech leaders like Elon Musk, Jeff Bezos and Mark Zuckerberg, Vicarious strives to build a robot brain that thinks like a human. The company claims it will eventually create machine learning that surpasses human intelligence.


Blue River Technology

Industry: Agriculture

Who they are: Blue River Technology uses AI to craft more innovative farming technology.

The company’s notable See and Spray uses machine learning can detect individual plants by applying herbicide only to weeds. This ultimately reduces chemical output by up to 90% compared to traditional methods.





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