WeTrust is a collaborative saving and insurance platform. It is autonomous, frictionless, and decentralized. WeTrust utilizes the Ethereum blockchain to create a full-stack financial system that leverages existing social capital and trust networks, eliminating the need of a “trusted third party”, which allows for lower fees, improved incentive structures, decentralized risks, and a greater amount of capital to reside among the participants. WeTrust’s first product is a Rotating and Saving Credit Association platform, inspired by the ~1 billion people around the world who are using mostly informal organizations to lend/ borrow, and support each other financially within their communities. ROSCAs will bootstrap the community, and WeTrust plans to build future products that include sovereign credit identities, trusted lending, mutual insurance, and more.
Fetch.AI ('the Project') brings together machine learning ('ML'), artificial intelligence ('AI'), multi-agent systems and decentralized ledger technology to create an economic internet — an environment where digital representatives of the economy's moving parts (such as data, hardware, services, people and infrastructure) can get useful work done through effective introductions and predictions These agents can be thought of as digital entities: life-forms that are able to make decisions on their own behalf as well as on behalf of their stakeholders (individuals, private enterprises and governments for example). Fetch.AI's digital world is exposed to agents via its Open Economic Framework (OEF) and is underpinned by unique smart ledger technology to deliver high performance, low cost transactions. The ledger delivers useful proof-of-work that builds market intelligence and trust over time — growing the value of the network as it is used. Fetch.AI can be neatly interfaced to existing systems with minimal effort, allowing it to take advantage of the old economy whilst building the new: plug existing data in to Fetch.AI and watch markets spontaneously form from the bottom up.