Vishal Garg
CEO
S
ScaleCred
ScaleCred offers an AI-enabled platform that automates credit due diligence by analyzing financial statements and generating credit memos, significantly reducing processing time and costs. The platform enhances risk assessment through over 200 financial indicators and 800 machine learning models, improving decision-making efficiency for over 100 organizations, including major banks.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Financial Technology
- Software Only
Updated 7 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Credit due diligence is a time-consuming and costly process, often relying on manual analysis of financial statements. Traditional methods struggle to efficiently extract granular financial data and identify early warning signs of credit risk, hindering timely and informed decision-making.
Solution
ScaleCred offers an AI-powered platform that automates credit due diligence by extracting and analyzing financial data from borrower financial statements and other documents. The platform uses pixel-based machine learning technology to spread financial statements, identify customer and supplier risks, and determine company health scores. By integrating internal and external data sources, ScaleCred provides a comprehensive view of potential risks and enables users to manage all aspects of credit underwriting on a customized platform. The platform also offers early warning signals, alerts, triggers, text analytics, and social insights to provide a broader perspective about companies.
Target Audience
ScaleCred is designed for banks, financial institutions, and other organizations involved in credit lending and risk management.
Features
- Financial statement spreading using pixel-based machine learning technology
- Customer and supplier risk identification through integrated data sources
- Company health score determination based on financial and non-financial parameters
- Automated underwriting tools to improve loan processing time
- Early warning signals to anticipate adverse events
- Customizable alerts and triggers for critical issues and updates
- Text analytics to extract insights from textual data
- Social insights to uncover trends and sentiments from social channels