Downtown.AI disrupts the way mobility services and authorities operate and plan transportation.
Our Human Movements Predictive Analytics platform leverages machine learning and granular mobile location data to analyze, map and accurately predict human movements in cities, including all modes of urban transportation (cars, public transit, micro mobility and pedestrians).
We generate visualized analytics and forecasts of commuters’ concentrations and traffic patterns by aggregating the location of millions of anonymized mobile devices every day.
We correlate this data with weather, events, census data, road infrastructure and other data sources and use proprietary machine learning algorithms to identify patterns and generate predictions.
By analyzing real world commute data, Downtown.AI enables Mobility Services to forecast customer demand, to identify the most promising service launch or expansion opportunities, to maximize revenue per vehicle and to reduce operation costs.
We help Transportation Authorities to improve planning of new projects (lines, stations, intersections...), to optimize scheduling of buses and trains, to evaluate the impact of past investments and to manage daily traffic.
We assist Car OEMs to enable Autonomous Cars to identify crowd's hot spots (e.g. for Ridesharing services) and to improve navigation in cities crowded by pedestrians.
Downtown.AI is based in Vancouver, BC and Palo Alto, California.