Flowcast provides an AI platform that utilizes patented machine learning algorithms to create predictive models for assessing credit risk in businesses. By accurately predicting loan repayment ability and delinquency risk, Flowcast enables financial institutions to make informed credit decisions, even for businesses with limited credit histories.
Funding
$14.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
AAPASIFounders
Product
Problem
Traditional credit risk assessment methods often struggle to accurately evaluate businesses with limited or non-existent credit histories. This can result in underserved businesses being denied access to necessary capital, hindering their growth potential. Existing models may also lack the ability to adapt quickly to changing market conditions and supply chain dynamics.
Solution
Flowcast offers an AI-powered platform that leverages patented machine learning algorithms to generate predictive models for assessing credit risk. The platform enables financial institutions to make more informed credit decisions by accurately predicting a business's ability to repay loans and the likelihood of delinquency, even when traditional credit data is scarce. Flowcast's API-based solution actively predicts changes in behavior based on activities within the supply chain ecosystem. The platform's "White Box" machine learning model provides explainable results, enhancing transparency and auditability for credit risk teams.
Target Audience
Flowcast primarily targets financial institutions seeking to improve their credit risk assessment processes, particularly for businesses with limited credit histories.
Features
- Patented machine learning algorithms for creating high-performing predictive models
- API-based solution for seamless integration with existing financial systems
- Ability to predict loan repayment ability, likelihood of dilution, and risk of delinquency
- Active prediction of behavioral changes based on supply chain ecosystem activities
- "White Box" machine learning model providing explainable and auditable results
- Analytics tools for seamless model validation and monitoring
- Models tested over extensive periods and trained on vast amounts of data
- Transfer learning capabilities for rapid analysis of complex datasets