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Flowcast is a fintech startup headquartered Silicon Valley and is reinventing supply chain finance. It provides an AI-based solution to funders in financing the supply chain. Flowcast partners with banks and non-bank funders to enable liquidity at any point along the supply chain lifecycle, from a PO to an approved invoice. This helps vendors get the cashflow that they need and yields direct benefits to corporates through a discount or extended payment term. At the heart of this is the machine learning models that can assess performance risks in real-time to automate the underwriting process.
Flowcast is a fintech startup headquartered Silicon Valley and is reinventing supply chain finance. It provides an AI-based solution to funders in financing the supply chain. Flowcast partners with banks and non-bank funders to enable liquidity at any point along the supply chain lifecycle, from a PO to an approved invoice. This helps vendors get the cashflow that they need and yields direct benefits to corporates through a discount or extended payment term. At the heart of this is the machine learning models that can assess performance risks in real-time to automate the underwriting process.
Flowcast leverages its patented machine learning algorithms to create high-performing predictive models that reduce risk and unlock credit to businesses. Our models have demonstrated high accuracy in predicting the ability of a business to repay its loans, the likelihood of dilution, and the risk of delinquency. Our API-based ML model actively predicts the changes in behaviors based on the activities within the supply chain ecosystem. Our models have demonstrated high accuracy in predicting the ability of a business to repay its loans, the likelihood of dilution, and the risk of delinquency.
Service based revenue model
MapR
Our advanced machine learning platform harnesses untapped complex data to automate credit decisioning. Our customers can now have greater visibility to address the underserved market.
NO
1
$2 M
Feb 2016
$2 M
Nov 2016
NO
Received a stipend of $20,000 Singapore Dollars (US$14.4K) from MAS Fintech Hackcelerator and anywhere between $25,000 to $500,000 from Plug and Play Fintech
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Flowcast is a fintech startup headquartered Silicon Valley and is reinventing supply chain finance. It provides an AI-based solution to funders in financing the supply chain. Flowcast partners with banks and non-bank funders to enable liquidity at any point along the supply chain lifecycle, from a PO to an approved invoice. This helps vendors get the cashflow that they need and yields direct benefits to corporates through a discount or extended payment term. At the heart of this is the machine learning models that can assess performance risks in real-time to automate the underwriting process.
Flowcast leverages its patented machine learning algorithms to create high-performing predictive models that reduce risk and unlock credit to businesses. Our models have demonstrated high accuracy in predicting the ability of a business to repay its loans, the likelihood of dilution, and the risk of delinquency. Our API-based ML model actively predicts the changes in behaviors based on the activities within the supply chain ecosystem. Our models have demonstrated high accuracy in predicting the ability of a business to repay its loans, the likelihood of dilution, and the risk of delinquency.
Service based revenue model
Our advanced machine learning platform harnesses untapped complex data to automate credit decisioning. Our customers can now have greater visibility to address the underserved market.
COMMERCIAL LAUNCH
Always Improving Flowcast’s ML platform allows risk professionals to gain the benefits of transfer learnings. It was designed to help rapidly analyze complex datasets to drive more accurate and auditable risk models. Our ML solution allows access to insights that are captured through many iterations and experience working with risk professionals around the world, uncovering intricacies of supplier and buyer behavioral dynamics. Explainable There are regulatory requirements to be able to explain, in human terms, why certain decisions were reached. The ability to explain the predictive output is equally important to the accuracy of the prediction itself. The rise of complex ML models makes explainability a key element in AI. Validated We provide analytics tools to make validation and monitoring seamless. We require our models to perform well in a real-world setting. This means that we carefully assess the out-of-sample and out-of-time sampling in our validation set and compare it against the in-time training set. It is important to have accurate assessments of future performance in production. API First You can invoke an API call in real-time to get predictive results integrated into existing ERP rules engines and workflow tools. The ML platform can be deployed in public or private cloud infrastructures.
Yes, in live production
INITIAL CLIENTS
YES
$2 M
NO