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.

In the fight against the second wave, the RBI Governor proposed a holistic strategy to alleviate the constraints that financial institutions and their customers face, in his latest statement on the 5th of May, 2021.

Are you tired of getting bad data because someone misspells a name? We are too! Our Name Match API leverages accurate explainable AI to accurately verify the names of people and organizations against vast databases to ensure your data is correct.

Why high-quality single image liveness is the way forward for modern, fraud-resistant, customer-centric onboarding solutions.

Our team at HyperVerge, Inc ranked 4th at the DocVQA challenge hosted at CVPR 2020’s Workshop on Text and Documents in the Deep Learning Era.

AI driven feature extraction and change detection can automate analytics on aerial imagery. By comparing images from two different time periods, land parcels where there are changes, can be flagged.

“While we don’t have a model for the post-Corona world, at least we have a path to the answer for that”