Banks and fintechs are spending millions per year on verifying their customer identities.
Try for free
Customers can use utility bills, passports, rent agreements, government issued IDs etc. from various regions to validate their identity. Due to the limitations of legacy technologies and the various documents involved in the process, this is a mostly manual process. As a result, it is slow and error prone, leading to dissatisfaction at the worst moment for customers: new customer onboarding.
Classify the documents in incoming email, faxes or physical mail
Extract relevant data
Identify fraudulently created documents
Pass data to the next system of record via integration libraries
Document hyperautomation: Almost all KYC documents of your company can be processed with no human involvement resulting in an order of magnitude productivity improvement vs current process.
Via well documented REST APIs
Graphical User interface (no code) to deal with complex cases
Models improve as users process documents and correct mistakes
If most of the claims that you receive are not being processed end-to-end by machines, then it is time to free humans from machine work. Let’s talk
Document processing with deep learning.
