Democratizing Credit Access
Open-source credit scoring platform that leverages UPI transaction data to provide transparent, fair, and accessible credit assessment for 63 million MSMEs and 190 million credit-invisible Indians.
The Credit Access Crisis
Despite India's digital payments revolution with UPI, traditional credit assessment remains opaque, biased, and inaccessible to millions.
Black Box Algorithms
Credit bureaus use proprietary algorithms. Borrowers don't know why they were rejected with no mechanism to challenge or understand scoring.
Limited Credit History
190 million adults are 'credit invisible' with no bureau records. New businesses face a catch-22: need credit to build credit history.
Bias & Discrimination
Geographic, gender, caste, and age-based discrimination documented in studies. Arbitrary decisions by loan officers persist.
Information Asymmetry
Borrowers don't know their credit score before applying. Multiple loan applications due to rejections further damage scores.
The OpenCredit Solution
"Every honest merchant with a UPI QR code deserves transparent access to fair credit."
Transparency
All credit scoring rules are open source and publicly auditable by anyone.
UPI-Based Assessment
Leverage real-time UPI transaction data as primary credit signal.
Privacy First
Data used only with explicit consent, full DPDP Act compliance.
Multi-Lender Marketplace
Competitive lending environment drives down costs for borrowers.
Borrower Empowerment
Credit scores accessible before application with improvement tips.
Mandatory Disclosure
Lenders must disclose proprietary rule weightages to borrowers.
How It Works
Simple, transparent, and fair credit assessment in five steps.
UPI Transaction Data
Merchant consents to share UPI transaction history from last 3-12 months.
Data Analysis
Platform analyzes volume, consistency, growth, payment success rate, and customer diversity.
Transparent Scoring
Open-source algorithm calculates credit score (0-100) with full breakdown visible.
Lender Matching
Multiple lenders compete to offer best terms through transparent marketplace.
Fair Credit Access
Merchant selects best offer with full transparency on terms and conditions.
Open Source Scoring Algorithm
Fully transparent weighted scoring model. All logic publicly visible on GitHub.
Scoring Factors
Credit Score Ranges
Eligibility Thresholds
- • Minimum avg. monthly volume: ₹25,000
- • Minimum transaction count: 20
- • Minimum business tenure: 3 months
- • Maximum payment failure rate: 20%
Mandatory Lender Disclosure
If a lender adds proprietary scoring rules, they must disclose:
Projected Impact
Transformative potential for India's financial ecosystem over 5 years.
Financial Inclusion
Equal approval rates across genders and regions. 60% reduction in loan rejection for marginalized communities. Rural-urban parity in credit access.
Economic Growth
3% increase in MSME GDP contribution. ₹15 trillion cumulative GDP impact. ₹1.5 trillion additional GST collection through formalization.
Social Impact
5 million families lifted above poverty line. 40% increase in credit access for women entrepreneurs. 20 million rural merchants gain access.
Who Benefits
A platform designed for all stakeholders in India's credit ecosystem.
Merchants & MSMEs
Small retailers, street vendors, service providers, and micro-enterprises gain fair credit access.
Consumers
Credit-invisible individuals can build credit history through UPI payment behavior.
NBFCs & Fintechs
Access to verified merchant data reduces customer acquisition costs and risk.
Banks
Expand reach to underserved segments with reliable alternative credit signals.
Cooperative Societies
Credit unions and SHGs can make data-driven lending decisions for members.
Regulators
RBI and SEBI can audit transparent algorithms. Real-time data enables agile policy-making.
Why Open Source?
Open source is not just a technical choice—it's a commitment to transparency, fairness, and community-driven innovation.
Trust Through Transparency
Anyone can review code, algorithms, and scoring logic. Community auditing ensures fairness.
Continuous Improvement
Open collaboration improves algorithms. Bugs and biases quickly identified and fixed.
Ecosystem Development
Lenders, fintechs, and cooperatives can build on and customize the platform.
International Expansion
Model can be replicated in Southeast Asia, Africa, and Latin America.
Contribute to OpenCredit
Join 1000+ contributors building fair credit infrastructure
5-Year Roadmap
Phased implementation strategy from proof of concept to market leadership.
Foundation
- •Launch open-source credit scoring engine on GitHub
- •Onboard 5 million merchants
- •Partner with 10 lenders (NBFCs, fintech, cooperative banks)
- •Facilitate ₹10,000 crore in loans
- •Pilot in 5 cities: Delhi, Mumbai, Bangalore, Hyderabad, Ahmedabad
Scale-Up
- •Expand to 25 million merchants
- •50 lenders including banks and MFIs
- •₹50,000 crore annual loan volume
- •Launch consumer credit scoring (beta)
- •Regional language support (10+ languages)
Maturity
- •50 million merchants, 200 million consumers
- •100+ lender partnerships
- •₹2,00,000 crore annual loans
- •AI/ML credit models
- •International expansion to Southeast Asia, Africa
Join the Movement for Fair Credit
Whether you're a developer, lender, policymaker, or advocate for financial inclusion—there's a place for you in OpenCredit.