Bloom

Bloom

Decentralized credit scoring powered by Ethereum and IPFS

11 followers

Bloom is the future of credit. Bloom does not provide loans. Bloom is a platform to migrate all lenders to the Blockchain. From mortgage providers to local credit unions, lenders across the globe will be able to tap into a far more comprehensive credit database with improved global scoring.
Bloom gallery image
Bloom gallery image
Bloom gallery image
Launch tags:
TechWeb3
Launch Team

What do you think? …

Rory O'Reilly
This is something I personally need - is the Bloom Slack channel open for outside community involvement? I think the PHers will want to get involved :)
Jesse Leimgruber
@rorybro Yes, we actually just launched it yesterday! Here is the link https://join.slack.com/t/hellobl...
P.J. Leimgruber

Typically, trust and anonymity are at odds. By being on the blockchain, Bloom enables people to trust properties about one another without any centralized authority. The explicit goal is to help lenders pull up people who are good credit risks who the current system deems to be bad credit risks. This allows people who need credit to receive it and for lenders to potentially increase their target markets.

Pros:

Bloom is created a open, and decentralized protocol for lending. IF this works - it will change credit globally.

Cons:

There is a HUGE barrier to mass adoption.

Ben Tossell
From The Whitepaper Bloom addresses these existing limitations in lending by moving credit scoring and risk assessment to the blockchain. Bloom is a standardized, programmable ecosystem to facilitate on-demand, secure, and global access to credit services. Bloom presents a novel approach to credit risk assessment allowing both traditional fiat lenders and digital asset lenders to issue compliant loans on the blockchain while increasing competition to lower fees and improve borrower experience at every layer of the credit issuance process. The Bloom protocol presents solutions to the following problems: 1. Cross-Border Credit Scoring: Credit histories are not portable across countries, forcing individuals to re-establish their credit track records from scratch when they relocate. 2. Backward-Looking Creditworthiness Assessment: Credit systems rely on historical debt repayment information and therefore cannot easily accommodate users who are new to credit. This is especially prevalent among minorities, the underbanked, and the youth. 3. Lenders Have Limited Ability to Expand and Offer Loans Globally: Borrowers in markets with less developed financial and regulatory infrastructure struggle to access credit as lenders have limited identity and scoring data to base credit decisions. 4. High Risk of Identity Theft: Borrowers must expose all of their personal information when applying for a loan - the same info an attacker can use to open new lines of credit. 5. Uncompetitive Credit Scoring Ecosystem: Credit data is centralized. In most markets, a single provider scores credit, resulting in an uncompetitive ecosystem for evaluating credit risk. FICO was checked on 90% of all U.S. Loans.