AI product
Spranic is a spatial-memory data layer and app for physical spaces, developed by Jordi Spranger in Munich. It captures a walk through a building with a phone, handheld depth camera, or other depth sensor, turns the capture into a 3D map, and gives recognized objects stable identities across visits. Repeat walks can be aligned over time so the system reports what moved, appeared, or disappeared and links changes to the original observations; the videos describe this representation as a semantic graph of objects and relationships. The app supports browsing the captured space, asking questions in plain language, and generating change reports for workflows such as inspections, maintenance, handovers, robotics, and insurance assessments. The website describes the product as an alpha.
1 use taken from transcripts — each links to the moment in the video.
A spatial memory system for real-world assets: an off-the-shelf sensor captures a walk through a building, objects and relationships are stored as a semantic graph, repeat walks are aligned on a timeline, and changes can be queried with references back to the original capture. Proposed uses include maintenance, interior design, robotics, and hyper-personalized insurance inspections.
1 in the library.