Spranic
Spranic turns any walk through a physical space into a living 3D map using a phone or depth camera, capturing hundreds of thousands of measurements per pass. Every object maintains a stable identity across visits, so users can query the map in plain language and receive change reports showing what appeared, moved, or vanished. The platform processes a capture walk into a finished map in approximately 72 seconds.
- Construction Technology
- Artificial Intelligence
- Software Only
- Logistics & Supply Chain
Funding
Founders
Founder details are not available yet.
Product
Problem
Physical spaces—warehouses, buildings, and construction sites—change constantly, yet their true state lives nowhere. Site visits produce static records that are stale the moment they are saved, and automated systems build private maps that die with each deployment.
Solution
Spranic turns any walk through a physical space into a living 3D map using a phone or depth camera, capturing hundreds of thousands of measurements per pass. Every object maintains a stable identity across visits, so users can query the map in plain language and receive change reports showing what appeared, moved, or vanished. This solution gives people and automated systems a current, queryable record of any site, warehouse, or building without relying on stale site visits. The platform works with existing phone or depth-camera hardware and delivers a finished map in roughly 72 seconds from the end of a capture walk.
Target Audience
Primary customers are operators in construction, logistics, manufacturing, facilities management, service robotics, inspection, agriculture, and retail who need accurate, up-to-date records of physical spaces.
Features
- Object-level persistent identity across visits, enabling queries like "what changed since last Tuesday"
- Plain-language query interface that treats the spatial map as a database
- Automated change reports highlighting what appeared, moved, or vanished between walks
- Phone-based or depth-camera capture without specialized scanning equipment
- Approximately 72-second processing pipeline from walk completion to finished map
- Auto-labeling of recognized objects from real capture data