Our cases
- Industry
- Areas of AI
- Capabilities
Interpretable forecasting for major e-commerce checkout solution
Interpretable forecasting for major e-commerce checkout solution
Modulai developed a solution to identify high risk customers and enable proactive measures to reduce credit losses. By decomposing a complex problem into distinct subproblems and addressing each with different modeling approaches, noisy time series can be predicted in a robust and interpretable way. The resulting forecasts enable precise risk assessments which can help mitigate unnecessary risk exposure.
On Device Research: Smarter Operations using AI
On Device Research is a UK-based company that has a platform that allows users to complete online surveys in the exchange for money.
Machine learning has huge potential in making day-to-day business more intelligent. This case highlights how incorporating models in the everyday workflow for On Device Research can improve security and enhance user experience
Predicting a company’s future financial performance
Modulai built a deep learning based system for predicting the values of various fields in a company's annual report - a year in the future.
Currently, there exist ML models to predict different financial KPIs such as debt, profits, revenue, etc. of a company based on their historic values. The values of these fields are related and dependent on each other.
Bayesian hierarchical model for company credit risk
We developed a credit system to assess the credit risk associated with small to medium-sized enterprise (SME) lending.
The client is an American software company that provides solutions to financial institutions. Their offer includes technology for compliance, credit risk, and lending solutions used to manage risk.
Transaction risk model for a major online payment platform
A team from Modulai trained a model to predict risk direct banking transactions. The project included a full specification of the decision engine infrastructure as well as the deployment plan.
This client is a large fintech in the payments space providing an alternative to credit cards. They process many millions of transactions yearly for thousands of e-commerce sites and online service providers. Each transaction might expose the different parties to various risks, and containing these risks are crucial.
