DeepQuanty is a Cognitive Digitization and Process Automation Lab. It is not an experimental GENERAL platform. But rather, DeepQuanty creates focused products to solve SPECIFIC problems: 1. Digitizing & Processing of Cheques including Automatic Signature Verification 2. Digitizing & Processing Loan Origination Documents such as Bank Statements, Income Tax Returns, Customer Credit Information, Loan Application Forms and KYC 3. Digitizing & Processing Invoices, including Vendor and Account Payable Management 4. Digitizing & Processing Customer Onboarding Documents such as Application Forms, Bank Statements and KYC 5. Digitizing & Processing Stock Forms for computing Drawing Power in commercial banking sector DeepQuanty believes in the specific products idea since any digitization is context dependent. For e.g., a twelve-digit continuous number in an article originating from India may be anything. But it may most likely be an Aadhar Number in a Change Request Application From. For both Digitization and Process Automation, DeepQuanty uses the latest AI Tech – Computer Vision and Machine Learning. Several Models based on CNN, RNN, Computational Geometry, Graph Theory and Adaptive Learning, work to deliver accuracies never before thought as possible. And all these work on any type of documents: PDFs, Native PDFs, Images, and more. And of course, handwritten documents are a special capability. Process Automation using machine learning is a super-specialty. Several work flows are easily woven or integrated into regular bank processes. For e.g., (1) Digitizing Bank Statement, passbook, ITR, Application Forms, and Customer Credit Information (2) Separating using NLP the text and the credit and debit amounts key factors such as "Number of Bounced Cheques" and "Estimated Income" and (3) Computing Credit Risk Scores using such separated factors, based on SVM - All are achieved with ease and available for further integration into downstream processes.