As the U.S. and Europe bake in abnormal summer heat, the climate continues to climb up the world’s agenda. With everyone now talking about energy, how commodities are traded is also becoming a talking point.
Creating a “nutrition label” so that it would be possible to track the provenance of a commodity — be it coal or pork bellies — is considered by many to be the holy grail of that sector, and — these days — especially if CO2 emissions are factored in. We covered how the Watr Foundation, a Swiss-registered foundation created by experience commodities founders, plans to do this via the use of blockchains, incorporating the technology into commodities trading.
It’s now collaborating with Parity Technologies, creators of the now globally famous Polkadot (a protocol that connects blockchains) and Kusama, a network of specialized blockchains built on code similar to Polkadot.
Watr will now serve as the public blockchain protocol and decentralized app ecosystem for what it calls “ethical commodities,” alongside their financing and trade. Intended for both retail and enterprise uses, Watr’s plan is to deploy widely in Africa.
Led by Gavin Wood, co-creator of Ethereum and its founding CTO, Parity’s partnership with Watr is designed to co-develop the Watr protocol and key applications, and execute joint R&D on the functionality required to make the platform perform for the $17 trillion dollar commodities industry.
Watr is Substrate-based, EVM-compatible and will use the Polkadot ecosystem and security as a parachain. This means developers will be wooed to work on the DevNet, connecting to Rococo by early September.
Omar Elassar, global head of Ecosystem Growth & Business Development at Parity Technologies, said in a statement:
Watr Foundation Council President Maryam Ayati added:
Because there has been a capital shortfall of some $1.5 trillion for commodities, partly due to ESG concerns, the timing might be right for WATR’s aspirations, since the market is now looking for tools for suppliers — and consumers — to differentiate between “good” and “bad” in the pricing of commodities.