R&D — “DOC Element Identifier” — IN-D’s Core Invention bringing a paradigm shift in “Intelligent Document Processing ” Space
This Core invention gives us the ability to deliver “Highest Day One Accuracy” at “Breakthrough speed”, which is unheard of previously.
IN-D Document Fraud Detection – Our Approach
Verifying the identity of any individual whether a customer, partner or an employee has always been a prerequisite for all businesses.
Document to Data Newsletter – January 2022
Improved IN-D Core Doc Element Identifier (DEI) V1.1, Liveness check and anti-spoof capabilities on mobile without internet and much more
Document to Data Newsletter – October 2021
Improvements in Document Recognition/Classification to fast track Client Onboarding and identity verification and much more
Bridging AI gap in the onboarding process for a leading Portfolio Management Platform
To speed up and reduce errors during onboarding, the whole solution needs to be completed in Minutes with minimum manual intervention and very high levels of accuracy.
How one of India’s largest online auto classifieds platforms reduced the customer onboarding turn-around time by 90%
Automating the customer onboarding process is so much more than just processing and verifying identity documents
Document to Data Newsletter – August 2021
Doc Element Identifier – Reduce Training Time and Cost by
80%, Contract Review and Reconciliation, and much more
Expand the Digital Envelope with Power Automate & IN-D’s Cognitive Components
As you automate your business workflows using Power Automate and other low code platforms or RPA solutions, there is always that missing piece that disrupts the digital journey.
Document to Data Newsletter – July 2021
Doc Element Identifier – Reduce Training Time and Cost by
80%, Contract Review and Reconciliation, and much more
Document to Data Newsletter – June 2021
Reading Covid-19 Test Reports and Online Check-In, $900M Error at Citi and Reimagining Process Controls with AI, Self-Learning Model for KYC Checks on New IDs, and much more