Close Menu
    What's Hot

    From Dune Drive to Cold Drinks: BLUETTI Brings Outdoor Vehicle and RV Power Solutions to ADIHEX 2026

    August 28, 2026

    VVater Expands Global Presence Through New Partnership in Asia-Pacific and the Middle East

    August 27, 2026

    Iggy Azalea Invests in Shift – The AI Company Behind the Fastest-Growing Platform in the $1.3 Trillion Creator Economy, Fanvue

    August 27, 2026
    Facebook X (Twitter) Instagram
    • Home
    • Contact Us
    Tel Aviv JournalTel Aviv Journal
    • Automotive
    • Business
    • Entertainment
    • Health
    • Lifestyle
    • Luxury
    • News
    • Sports
    • Technology
    • Travel
    Tel Aviv JournalTel Aviv Journal
    Home » Machine learning and computer vision to talk to dogs
    Technology

    Machine learning and computer vision to talk to dogs

    March 4, 2021
    Facebook Twitter Pinterest LinkedIn Tumblr Email

    Companion announces $8M in seed funding to transform how to train, engage and communicate with dogs. The funding comes from leading institutional investors and VCs along with some of the largest pet companies and charities in the world. Participating investors include IA Ventures, Tuesday Capital, frog Design, Companion Fund, backed by Mars Petcare, Michelson Found Animals Foundation, Wheelhouse Partners, PETStock and Central Garden & Pet. The funding will be used to continue rolling out the device and coaching service to early adopters. You can sign up for early access here.

    Machine learning and computer vision to talk to dogs
    Companion makes it easier than ever for pet parents to engage and train their dog at home. The Companion device uses computer vision combined with machine learning to precisely detect and analyze dogs’ movements and behaviors. Using state-of-the-art positive reinforcement techniques, and its proprietary data and algorithms, the Companion rewards your dog for desired behaviors such as sit, down, stay and recall. Given Companion brings infinite patience and consistency to practicing positive behaviors, pet parents have the assurance that their dog will maintain these behaviors over time. Altogether, the dog’s experience with Companion refines trained behaviors into consistent and repeatable actions and serves as a powerful foundation for our integrated coaching service.

    By training basic obedience skills, Companion teaches independence and confidence and offers highly engaging activities for the dog. As pet parents return to work following COVID, they need proven solutions to engage their dog when they’re not at home and feel confident leaving their dogs. The technology has been privately offered in the SF Bay Area since 2018 and will begin shipping to select early adopters throughout 2021.

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email

    Related Posts

    Robo.ai Inc. Reports First Half 2026 Financial Results

    August 24, 2026

    Huasun Secures First Overseas Order of Himalaya PLUS with 100MW Supply Agreement in Pakistan

    August 19, 2026

    DoGo Power Wins EUPD Research’s 2026 Top Innovation Award in Europe

    August 13, 2026

    Japan launches Michibiki No. 7 satellite aboard H3 rocket

    August 12, 2026
    Latest News

    Algeria wildfires leave 12 dead and 54 injured in north

    August 27, 2026

    South Korea inbound tourism rises 20.8% in July

    August 26, 2026

    Air Arabia sets five weekly Sharjah Gdansk flights

    August 26, 2026

    EU expands Ebola response with €2.1 million PCR tests

    August 25, 2026

    Brent crude steadies after 2% drop amid Iran sanctions

    August 25, 2026

    South Korea starts first Arctic container ship trial

    August 24, 2026

    Alibaba raises HK$80 billion for AI and cloud growth

    August 24, 2026

    Gulf nations deport nearly 22,000 Pakistanis in four months

    August 22, 2026

    Australian team finds new way to tackle triple-negative breast cancer

    August 22, 2026
    © 2026 Tel Aviv Journal | All Rights Reserved
    • Home
    • Contact Us

    Type above and press Enter to search. Press Esc to cancel.