Parknav

www.parknav.com

PARKNAV has been revolutionizing on-street parking in real-time with a highly accurate and scalable solution since its founding in 2015. Using BIG DATA and AI, our award-winning data science and machine learning team bring the most precise parking availability information for mobility, smart city, transportation, and automotive. We provide both on-street and off-street parking availability, whether free, metered, or permit, as well as curbside restrictions, traffic control data, and data acquisition from city sensors. Parknav is available in over 1000+ cities across North America & Europe and has over 5.5 billion recorded parking events, already paving the future of urban transportation for smarter cities with a faster, safer, and more efficient traffic flow.

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PARKNAV has been revolutionizing on-street parking in real-time with a highly accurate and scalable solution since its founding in 2015. Using BIG DATA and AI, our award-winning data science and machine learning team bring the most precise parking availability information for mobility, smart city, transportation, and automotive. We provide both on-street and off-street parking availability, whether free, metered, or permit, as well as curbside restrictions, traffic control data, and data acquisition from city sensors. Parknav is available in over 1000+ cities across North America & Europe and has over 5.5 billion recorded parking events, already paving the future of urban transportation for smarter cities with a faster, safer, and more efficient traffic flow.

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Country

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State

California

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City (Headquarters)

San Francisco

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Employees

11-50

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Founded

2015

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Estimated Revenue

$1 to $1,000,000

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Potential Decision Makers

  • Chief Executive Officer , Chief Data Scientist and Vice President Machine Learning

    Email ****** @****.com
    Phone (***) ****-****
  • Member of the Board of Advisors

    Email ****** @****.com
    Phone (***) ****-****
  • Director of Ai and Data Science

    Email ****** @****.com
    Phone (***) ****-****
  • Head of Data Factory

    Email ****** @****.com
    Phone (***) ****-****

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