Maps play a crucial role in sustainable human development. Our goal is to take the world a step forward with the next generation of maps: 3D and near-real-time, aka digital twins.
We are addressing the problem of fragmentation, which refers to the fact that geospatial data is collected by various IoT sensor owners for different purposes, and that no coordination exists between them.
Our approach is to use a decentralized protocol to provide this coordination between IoT sensor owners, as well as algorithms, storage and compute providers. The protocol incentivizes contribution and honesty through economic rewards, with a token linking revenue and rewards to avoid high CapEx.
Keep up to date with our work and progress on the project blog.
The case for a new way to produce and consume near-real-time 3D models of our world. Long before we started building CIRCUM, our team struggled with traditional geospatial data providers. lthough absolute leaders in the field, Google Maps and Open Street Map...
We will explain in detail the subject of computing geospatial data, its challenges, and the way compute over data (COD) can shift the paradigm by using web3-based physical network ecosystem (DePIN/DeREN) to run large-scale use cases.