2025 Edge AI and Vision Product of the Year Award: Entry Form Logo

  • The 2026 AI Innovation Awards

  • The AI Innovation Award recognizes innovative and impactful end products that incorporate edge AI and vision technologies. Winning companies receive recognition for their product leadership and innovation, along with year-round promotion by the Edge AI and Vision Alliance.


    Previous winning products have included AI-enabled glasses for consumers, humanoid robots, smart agricultural equipment, drones, augmented reality headsets for enterprises, and more. For more information about previous winners, please visit our website: https://www.edge-ai-vision.com/awards/end-products/

     

    Guide to Completing Your Nomination Form

    Nominations are free and open to the public, and evaluated by a panel of independent industry experts. To nominate a product, please complete the online nomination form below.


    To be eligible, a product must meet the following criteria:

    • It must be an end product, i.e., a finished product ready for use, and not a component of other products.
    • It must implement AI or vision algorithms at the edge, meaning on-device, on-premises, or at the network edge.
    • It must have been first available for public trial or general availability in 2025.
    • It must have been developed by the nominated company.

  • 2026 AI Innovation Award Nomination Form

    * Required

  • Your Contact Details

  • Nominated Product Details

  • Contact at Nominated Company (if available)

  • Additional Details

    Your responses to the following questions are optional, but providing this additional information will assist the judges in scoring your nomination and increase your chances of winning an award.

  • This year, we are inviting nominations for end products that utilize large multimodal models (LMMs). These advanced deep learning algorithms can process, understand, and generate content across various data types, including text, images, audio, and/or video. LMMs enable applications that were previously challenging or impossible to achieve with language-only or image-only models.

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  • Please provide up to four URLs for additional information to support your nomination, such as example demos, media coverage, or technical descriptions.

  • Submission

  • You may save this form and return to it to complete any edits or revisions before submitting.


    Once the nomination form is submitted, it cannot be edited.

    After you submit, you will receive a copy of your submission via email.


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