Supersight
Supersight provides a privacy-first AI sensing platform that delivers accurate occupancy and movement analytics for buildings, campuses, and public spaces. The system uses edge-based AI sensors built on recycled smartphones to process data locally, achieving up to 99% accuracy without capturing images or personal data. Customers access real-time dashboards, interactive floorplans, and automated reports through a cloud platform with API integrations.
- Internet of Things
- Data & Analytics
- Artificial Intelligence
- Property Technology
- Hardware
Funding
Founders
Founder details are not available yet.
Product
Problem
Facility and operations managers lack accurate, timely data on how people occupy and move through buildings and public spaces, making it difficult to optimize space utilization, plan capacity, and identify congestion points. Traditional tracking methods raise privacy concerns and fail to deliver the granular, real-time insights needed for data-driven space management decisions.
Solution
Supersight provides a privacy-first AI sensing platform that delivers highly accurate occupancy and movement analytics across buildings, campuses, and public spaces. The system uses edge-based AI sensors to track entry and exit flows, real-time and historical occupancy levels, dwell time, and movement between zones, all without capturing identifiable personal information. Data is processed at the edge on recycled smartphones used as sensors, ensuring 100% privacy preservation while delivering accurate counts and movement patterns. The cloud-based analytics platform offers real-time dashboards, interactive floorplans, historical trend analyses, and automated weekly and monthly reports, enabling users to understand usage patterns and make informed space optimization decisions. Integrations via API allow seamless connectivity with existing building management and operational systems.
Target Audience
Primary customers are facility managers, real estate operators, and operations teams in smart buildings, retail centers, universities, transportation hubs, and industrial environments who need actionable occupancy and people-flow insights to optimize space utilization and sustainability outcomes.
Features
- Edge-based AI sensors built on recycled smartphones, providing privacy-preserving analytics without any camera-based identification
- Real-time and historical tracking of occupancy levels, entry/exit flows, and dwell time across individual rooms, zones, and entire buildings
- Movement analysis between areas and multi-location comparison across different buildings or campuses in a unified platform view
- Interactive floorplan visualizations for intuitive understanding of space usage and congestion patterns
- Automated customized weekly and monthly reports, plus real-time dashboards with alerting on peak times and bottlenecks
- Cloud-based platform with API integrations for extensive data connectivity and workflow automation
- High accuracy in real-world environments, typically up to 99% accuracy even in complex and dynamic settings
- Simple and flexible installation with minimal disruption to existing spaces and operations