Parknav takes the pain out of searching for on-street parking in metropolitan areas. The solution uses data, machine learning and crowd sourcing to help drivers find available street parking faster than ever.

Parknav's B2B solution is already available in 40 US cities and in 200 cities across Europe. The B2C solution is available in 20 US cities and 4 cities in Germany.

Currently we're working together with INRIX on integrating our on-street parking solution into BMW cars in Germany....
Parknav takes the pain out of searching for on-street parking in metropolitan areas. The solution uses data, machine learning and crowd sourcing to help drivers find available street parking faster than ever.

Parknav's B2B solution is already available in 40 US cities and in 200 cities across Europe. The B2C solution is available in 20 US cities and 4 cities in Germany.

Currently we're working together with INRIX on integrating our on-street parking solution into BMW cars in Germany.
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ParkNav has vision and crisp execution. Parking in major cities is painful there are solutions for parking garages, but what about street parking? Not so much.

Over 90% of Android user keep using his app. Leveraging real data feeds, machine learning this solution is an algorithmic gem. Integration with Bing APIs could benefit Bing as well ParkNav.

ParkNav is providing parking solutions for drivers in San Fran, Chicago and cities in Germany today.

Digital work? Think about ParkNav providing parking for fleet management in companies like Cox and Comcast, Siemens and others that send workers all over major cities. Enterprise roles wearables? Clearly a car isn’t a wearable, but the tech is in the car a large portion of the day so think of it as their mobile workstation.

Think about ParkNav working with major car OEMs to put their solution into vehicles and how this could dovetail with IoT and fleet management. I recommend ParkNav for the Microsoft accelerator.