Undoubtedly, the Fintech industry has fundamentally changed the lending landscape, and machine learning in this industry has been shown to be a game-changing technology. Using our Voyance ML, we help businesses in this industry make better predictions faster: from making smart underwriting decisions and reducing friction between lenders and consumers to identifying new customers and reducing the churn of existing customer bases.

With this product targeted at Banks and Fintechs, it can be used to monitor real-time progress of loan applications, gather information about a customer seeking for a loan and present a forecast of the probability of that customer being able to pay back the loan.

Relational databases handle workloads differently. Businesses that use the two relational database management system face the challenge of moving data across both platforms. Voyance solves this problem by providing a fully managed cloud platform for modern data warehouses. It enables faster performance - no matter how much data.

A state of the art data pipeline, Voyance Pipelines has proven ease of movability as it moves billions of rows of data at scale, at low latency speed. It does this by employing a hugely parallel processing data warehouse architecture and a columnar data store that can aggregate and analyze large amounts of data.

By assessing the product and how it is being used by customers, Voyance Analytics can evaluate the rate at which a company is losing customers. Popularly employed by telecoms, Saas, Game designers and many more, these businesses can predict the cancellation of subscription before they happen and know the best way to reduce/stop it from happening.

To have an efficient supply chain, businesses need to have access to analytics reports that will help stakeholders make decisions. With the timely information, organization of data from different sources, all these will reduce the communication gap that seemingly exists between suppliers and manufacturers.