The startup offers a cloud-based infrastructure platform that utilizes a network of IoT sensors to gather and transmit city-specific data without requiring additional physical installations. This technology enables the development of scalable smart cities by facilitating real-time data communication and integration for urban developers and communities.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Urban developers and communities often lack real-time, comprehensive data on city dynamics, hindering their ability to make informed decisions about resource allocation, infrastructure development, and service optimization. Traditional methods of data collection are often costly, require extensive infrastructure, and provide limited insights into the complex interplay of urban activities.
Solution
Citysense provides a cloud-based platform that leverages a network of IoT sensors, referred to as "urban satellites," to capture and transmit city-specific data without requiring extensive new physical installations. These sensors detect the presence of smartphones and connected devices using GDPR-compliant WIFI technology to provide insights into movement patterns, traffic trends, and store visitation. The platform transforms existing infrastructure, such as gas stations, into open digital platforms, enabling real-time on-site data capture and turning key assets into smart systems. By integrating traffic data with business KPIs, Citysense empowers businesses to optimize pricing strategies, store operations, and resource allocation, contributing to the development of smarter, more responsive cities.
Target Audience
The primary target audience includes urban developers, gas stations and convenience stores, and city planners seeking to optimize operations, improve resource allocation, and enhance the overall urban experience.
Features
- Real-time traffic monitoring using anonymized, GDPR-compliant WIFI detection of smartphones and connected devices.
- Identification of microsegments based on client displacement patterns and shared traffic trends.
- Competitive landscape analysis, including tracking competitor price gaps and their impact on conversion rates.
- Geographic insights presented through heat maps, flow diagrams, and segmentation visualizations.
- Integration of traffic data with key business KPIs to generate insights on conversion rates and variations.
- Identification of potential inconsistencies in pricing strategies across different stores in the city.