Research Project

ICAS & Ethoslytics

A Hybrid Credit Scoring Framework for Unbanked Women in Emerging Economies

উদীয়মান অর্থনীতিতে ব্যাংকবিহীন মহিলা ক্ষুদ্র উদ্যোক্তাদের জন্য একটি হাইব্রিড এআই-চালিত ক্রেডিট স্কোরিং ফ্রেমওয়ার্ক

ICAS: Inclusive Credit Assessment & Scoring Framework
Ethoslytics: AI Engine & Platform

Understanding Our Dual-Identity System

We have evolved from a single framework to a sophisticated dual-identity system that separates methodology from implementation.

ICAS

Inclusive Credit Assessment & Scoring Framework

The core theoretical framework—a gender-neutral, scientific logic for credit scoring in the informal sector. ICAS defines the rules, variables, and financial logic (BBA-led) that form the foundation of our credit assessment methodology.

  • • Mathematical weightage system
  • • Alternative data integration
  • • Regulatory compliance framework
  • • Scientific validation methodology

Ethoslytics

AI Engine & Platform

The technical implementation of ICAS. Ethoslytics is the proprietary AI engine that processes Alternative Data to generate real-time credit scores. It transforms the ICAS blueprint into a working system (CSE-led).

  • • Real-time credit score calculation
  • • Interactive dashboard interface
  • • Machine learning algorithms
  • • Data security & privacy protocols
ICAS > Ethoslytics > Financial Inclusion
0B+
Unbanked Globally
বিশ্বব্যাপী ব্যাংকবিহীন
0%
Women Affected
নারী প্রভাবিত
0%
Lack Collateral
জামানতের অভাব
0
Data Pillars
ডেটা স্তম্ভ

The Problem সমস্যা

The existing financial ecosystem suffers from critical bottlenecks that exclude women from formal credit systems.

The Collateral Barrier

Traditional banks require physical assets, which most grassroots women do not own.

Digital Footprint Gap

Many women operate in cash-heavy informal markets, making them "invisible" to digital scoring models.

High Operational Costs

MFIs rely on manual, group-based monitoring, which lacks individualized risk assessment.

The Research Gap: There is no standardized global framework that successfully digitizes "Social Capital" and "Offline Business Logic" into a high-precision AI scoring model specifically for women.

The Solution সমাধান

ICAS framework powered by the Ethoslytics AI Engine uses a hybrid model combining four data pillars to assess creditworthiness:

CS = ω₁Dt + ω₂Sr + ω₃Bc + ω₄Pb
D_t

Digital Transactional

ডিজিটাল লেনদেন

MFS usage, mobile transactions, utility payments

S_r

Social Capital

সামাজিক মূলধন

Community standing, peer references, family support

B_c

Business Consistency

ব্যবসায়িক ধারাবাহিকতা

Supplier relationships, inventory, customer base

P_b

Behavioral Traits

আচরণগত বৈশিষ্ট্য

Financial literacy, resilience, commitment

SDG Impact টেকসই উন্নয়ন লক্ষ্যমাত্রা

This research directly contributes to the United Nations Sustainable Development Goals

SDG 5
Gender Equality
লিঙ্গ সমতা

Providing women independent access to capital

SDG 8
Economic Growth
অর্থনৈতিক প্রবৃদ্ধি

Empowering informal sector to scale

SDG 9
Innovation
উদ্ভাবন

Breakthrough in FinTech infrastructure

Experience the Calculator

Try our interactive simulation dashboard to see how the ICAS framework powered by the Ethoslytics engine evaluates different entrepreneur profiles in real-time.