Discover 5 Top Machine Learning Startups impacting Cities

Curious about new technological advancements impacting smart cities? Explore our analysis of 206 global machine learning startups advancing cities and learn how their solutions impact your business!

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into smart cities. This time, you get to discover five hand-picked machine learning startups impacting cities.

Out of 206, the Global Startup Heat Map highlights 5 Top Machine Learning Startups impacting Cities

The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.

The Global Startup Heat Map below reveals the distribution of the 206 exemplary startups & scaleups we analyzed for this research. Further, it highlights five machine learning startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these five startups & scaleups in this report. For insights on the other 201 machine learning solutions for cities, get in touch with us.

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Wintics provides City Traffic Analytics

Founding Year: 2017
Location: Paris, France
Funding: USD 1,1 M
Use this solution for Parking Slot Monitoring

Wintics is a French startup that uses deep learning algorithms to analyze urban video streams and generate city-wide mobility insights. Its software, Cityvision, utilizes video generated from AI cameras installed on streets and intersections. Cityvision differentiates between pedestrians and vehicles as well as tracks the path of individual entities and determines where they are heading. It also recognizes parking slot availability and detects if a vehicle is parked in an unauthorized spot. Insights generated by Wintics’ solution enable city officials to better manage congestion by understanding traffic flow in real-time and also identify rule-breakers, creating a safer city environment.

Deckard Technologies facilitates Property Regulation Compliance

Founding Year: 2018
Location: San Diego, US
Funding: USD 8,6 M
Partner with the startup for Unauthorized Construction Detection

US-based startup Deckard Technologies combines data analytics and machine learning to monitor real estate and provide compliance insights to local governments. Its platform, Propertyscape, analyzes properties and detects unauthorized construction or renovations that are non-compliant with local laws. This not only allows authorities to ensure proper safety standards at properties around the city but Propertyscape also enables them to identify any uncollected penalties. The startup’s solutions thus allow city authorities to improve compliance and increase revenue collection.

Hawa Dawa simplifies City Air Quality Monitoring

Founding Year: 2016
Location: Munich, Germany
Funding: USD 2,3 M
Collaborate for Urban Planning & City Management

Hawa Dawa is a German startup that develops air quality monitoring solutions for cities. The startup’s platform crowdsources and measures city air pollution data in real-time and identifies the direct sources of emission using machine learning. This data enables local authorities, city air quality managers, and modelers to curb pollution and optimize city projects as well as allows citizens to avoid high pollution areas.

eParkomat offers Smart Parking

Founding Year: 2016
Location: Prague, Czech Republic
Funding: USD 220 000
Work with eParkomat for Parking Availability Prediction

Czech startup eParkomat offers a data-driven solution to reduce parking-related issues in the city. The startup’s platform uses big data and machine learning to analyze the network data of telecom companies and predict the real-time availability of parking spots. It requires no cameras or sensors to find empty parking areas and users can see these spots using the startup’s mobile application. This reduces carbon emissions from vehicles and traffic congestion as drivers require less time to find parking.

SewerAI enables Automated Sewer Assessments

Founding Year: 2019
Location: Walnut Creek, US
Funding: USD 3,5 M
Work with SewerAI for Sewer Maintainance Planning

US-based startup SewerAI provides a software solution to optimize sewer pipe inspection. Its software, Autocode, assists contractors and engineers by automatically analyzing the sewer feed and identifying multiple defects. This enables sewer maintenance staff to add an additional layer of quality assurance to their work and plan the rehabilitation of city sewer systems more efficiently.

Discover more Smart City Startups

Smart city startups such as the examples highlighted in this report focus on traffic management, air quality monitoring, data-driven city and property management, as well as assisted maintenance. While all of these technologies play a major role in advancing smart cities, they only represent the tip of the iceberg. To explore smart city technologies in more detail, let us look into your areas of interest. For a more general overview, download one of our free Industry Innovation Reports to save your time and improve strategic decision-making.

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