At Cloud Vault, we are dedicated to delivering cutting-edge, scalable, and highly secure cloud-native solutions tailored exclusively for banks. Our mission is to simplify the complex, enabling seamless creation and management of end-to-end pipelines, rigorously monitored around the clock to detect and prevent fraudulent transactions.
Our innovative platform addresses core banking needs, offering a comprehensive transaction monitoring dashboard, streamlined credit and debit card sign-up processes, and robust loan approval processes built upon reliable vetting mechanisms. With Cloud Vault, banking security and efficiency converge for an unparalleled banking experience.
Our products are backed with state-of-the-art AI algorithms that cater to the dynamic guidelines of the clients.
We have used timed OTP along with google-authenticator to make sure there is least possibility of the identity faking along with password also as input.
Login Page
Time-based OTP Authentication
Dashboard View
We provide end to end support for credit card launch , underwrites user based on the data given by the financial institutes , we make the model automatically by deep learning and based on that model we figure out if a applicant is appropriate candidate for the credit card or not.
If yes we generate all credit card required details , card numbers , VCC and also provide a virtual card initially for users to use along with their physical card.
Inherent security feature for anomaly detection and follow up steps for the same as well are well planned in the system.
We provide credit card form with solution so the credit card seeker can just fill form and this will make the entire process seamless for managing , underwriting and recollection of credit. As every data will be synthesized on one single dashboard.
Credit Card Applications Page
Through our credit/debit card sign-up endpoint, the process of narrowing down eligible loyalty programs becomes remarkably streamlined by simply uploading a database.
Our simple, yet sophisticated model engages in the processing of a curated customer data repository, assembled by financial experts. Leveraging an novel conditional aggregator featuring self-attention, we discern implicit correlations within the data, crafting an optimal model that outperforms conventional approaches.