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What is DIMO

DIMO (pronounced "Dee-Moe") stands for Digital Infrastructure for Moving Objects
Vehicle owners use DIMO to get more out of their cars. DIMO apps allow them to collect, use and monetize the data from their vehicles. Developers & Data Consumers can access this data to build apps and services on a stable, open platform — reducing the cost of delivering better products and services for users.
DIMO is built in the open with open source components. This approach will unlock levels of transparency, privacy, composability, and reliability in IoT networks - increasing user and developer trust in connected devices and services.
DIMO uses the Ethereum Virtual Machine (aka blockchain), cryptography, open source software, real-world hardware, and an ecosystem of applications built on top of it to:
  • Establish a blockchain based identity for users, vehicles, trips, and more using NFTs and other types of smart contracts;
  • Use licensed hardware devices (e.g., the DIMO Data Miner) and approved software APIs (e.g., the Tesla API) to cryptographically attach telemetry data to vehicles and trips;
  • Allow companies such as Digital Infrastructure Inc., Geico, Tesla, Ford, Autozone, and more to issue verifiable credentials or other blockchain-based identity primitives to user, vehicle, or trip as a means to make a secure claim (e.g., user 0xABC... is licensed, vehicle 0xXYZ... is registered and had its oil changed on August, 1st 2022);
  • Allow users to self-custody their data and to choose which bits of data they want to share with who on a case by case basis; and
  • Give app developers and data consumers the ability to acquire a license and advance new technologies (e.g., ADAS and EV battery systems), build better versions of existing businesses (e.g., cheaper insurance, more efficient car marketplaces, cheaper auto loans, better maintenance prevention and diagnostics), and build entirely new app categories (e.g., vehicle sensors communicating/transacting with one another, online communities gated by real-world data).