Customer onboarding is one of the most important factors for a business’s growth. To know more about its process, strategies & advantages, click here to read now!

Digital IDs are the digitized versions of govt. issued IDs. Paper IDs are govt. issued paper based ID cards. Click here to know more about their key differences!

Document digitization is the process of transforming paper documents into a digital format. Click here for important tips & mistakes to avoid during document digitization.

Discover the advantage of engaging an Aadhaar eSign service provider, and explore how you can employ it to enhance the efficiency of your company.

Learn how to verify a driver’s license and ensure its authenticity using various methods of identity document verification.

Anonymous crypto wallets allow users to sell and trade using their wallets without revealing private information about the users. To know more about its usage, click here!

Want to learn about KYC Forms? Click here to know about what is kyc form, its importance, types of kyc form, documents required, who should apply & how to fill a kyc form.

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!

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.

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.