Interested in knowing the various eKYC models followed around the world? Check this guide to learn about the different eKYC models followed in India & other countries!

Looking for the best OCR engine for your business? HyperVerge is here for you. Read this guide to know about our on demand OCR engine & how it has supported businesses!

Want an effective OCR solution for your business? Check this article for full information about HyperVerge’s AI-powered OCR technology along with its features & benefits.

Want to learn about the concepts of KYC & AML? These are crucial to curb money laundering & terror funding. Find out differences between AML & KYC in this article!

What KYC documents are required for verification? Click here for a full list of valid KYC documents required to be presented as proofs of address & identification!

How to select the right identity verification solution? Here is a guide to help you choose the best identity verification solution, complete with a checklist for analyzing the solution.

Want to know the challenges of online identity verification? Check out this guide on online identity verification trends, challenges & best ways to resolve them. Read now!

Manual KYC takes a lot of time & effort. Here’s a guide on effective ways in which the customer experience can be enhanced during the KYC process. Click here to read!

With the rise in ease of creating fake identities & companies the risk of fraud has also increased. Click here to find out ways to check a company is registered or not!

Reducing bias would require regularizing an algorithm with an additional parameter that ensures equitable treatment of different classes. Regularizing not only aims to just fit historical data, but also to score well on some measure of fairness.

Although the task of recognizing a face accurately is challenging, advancements in machine learning algorithms, processors and processing speeds, and cameras have made it less challenging in most aspects.

While acknowledging and mitigating hidden biases in the data is critical, algorithms also need to be designed to reduce such risks. HyperVerge’s Research team continuously develops and utilizes research that improves algorithmic accuracy and simultaneously reduces bias.