What is Origo?
The Privacy Preserving Platform for Decentralized
Applications
Privacy is dying online. Current
blockchains' unprecedented transparency has made this even
worse. All of your data is publicly exposed.
Origo is the cure! Origo is the world first decentralized application platform
that protects your privacy.
Origo Official Video
Privacy Preserving Smart Contract
Origo Protocol: complete privacy preserving solution that supports normal hardware for smart contract input and output, backed by cryptography primitives like zero knowledge proof.
Confidential/Public Transaction
Flexible design for users to choose either public or confidential transaction feature on demand, suitable for various use cases with different privacy needs.
Developer Friendly
Easy-to-use toolchain for utilizing privacy technology, developers pay more attention on their business logic with minimum learning curve on our platform.
Origo unlocks endless possibilities
Financial Exchange
People can exchange assets based on contracts with each other without revealing the identity of the sender, receiver or assets exchanged to the public.
Insurance
Besides keeping details of insurance contracts private, all information required by insurance companies, such as personal info or health status will also be kept private.
Paychecks
Employers can run paychecks based on our contracts with employees - including rates, stocks and benefits - without revealing any of the details.
Supply Chain
Buyers can get goods from suppliers based on the price and amount defined in the contract, while keeping all the details private from others.
Personal Data
Personal health data, internet cookie data, financial status data and more can be shared and processed without exposing any of the data itself.
Fundraising
Companies can raise funds via contract without revealing the conditions, price, shares, investors or any other related information.
IoT
IoT device data can be processed privately, without revealing data details, data owners, etc.
AI
Machine learning models can be trained without revealing the data used.
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