Big Data is one of the most lucrative by-products of the digital revolution, which is made possible by the flood of information from smartphones, cars, clouds and connected devices. Numerous startups have taken advantage of these opportunities, including those that take care of ridesharing and delivery drivers.
Gridwise was founded in 2016 and claims to help drivers earn up to 39% more per hour by merging data from different sources. Real-time alerts are provided to let them know where and when they are displayed should.
For this purpose, Gridwise collects data from traffic services, social media, weather, events and local news and relies on crowdsourcing data from its network of drivers who install a dedicated app on their cell phones. According to Gridwise, 300 million miles have already been traveled by drivers who installed the app, mostly through Uber and Lyft.
Above: Gridwise collects data to tell the hailers where and when to go.
The Pittsburgh This week's startup announced it has completed a $ 3.3 million start-up round of funding led by Mountain State Capital at Switch VC, the 412 Venture Fund, Quaker Capital, the Blue Tree Allied Angels and Reinforced Ventures were involved. The total funding was $ 5.4 million. The company has now unveiled plans to “unlock carpooling and delivery insights” to help communities, mobile service platforms, insurers and other key stakeholders understand how people move around cities.
“The supply and demand data that we collect With services, we can not only create a more powerful user experience for drivers through data network effects, but also improve the way people and goods move around cities by doing aggregated analysis making it available to corporate and community stakeholders, ”said Gridwise co-founder and CEO Ryan Green, told VentureBeat:
Above: How Gridwise could help communities get a bird's eye view of people who move around cities  Mobility Trends
This move is taking a growing trend across the urban mobility spectrum as companies increasingly use big data to unlock deeper insights.
Alphabet's Sidewalk Labs recently launched a new company called Replica that uses "deidentified" location data to find out how people move around cities. This data comes from a number of third-party sources and is then combined with demographic data from public sources such as censuses and public transport data to create a “synthetic population” that is not unlike SimCity. StreetLight Data, based in San Francisco, uses data from weather apps, dating apps, etc. to gain valuable insights into people's movements. Then there's PredictHQ, which recently completed a $ 22 million round of financing for an offer that resembles Gridwise – except that PredictHQ sells its data to companies like Uber to help forecast demand.
It is worth noting that Uber itself has a data exchange program for cities, but Gridwise says that the cross-platform nature of its service is a key selling point. The company works with Uber, Lyft and Via in the United States and is able to track food delivery services (starting with Uber Eats). The company is also aiming to expand to include food and package deliveries that could provide even better insight into the gig economies that shape cities.
"We see that 70% of drivers are on the road for at least two or more gig services and we keep turning them on and off while driving," Green continued. “Gridwise is essentially the layer above the service providers that is able to connect the breadcrumbs between all ridesharing and on-demand delivery services on the street, giving us the most complete view of how people and goods move Services. “
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