Dilip Mali

Dilip Mali is a Co-Founder at Eigenlytics Data Solutions, specializing in the development of DocEye, a SaaS-based Intelligent Document Processing solution that enhances data extraction from various document types. Previously, Dilip served as a Senior Group Engagement Manager at C2L BIZ Solutions Pvt Ltd, leading a cross-functional team to drive digital transformation for insurers in the Asia Pacific region, resulting in significant reductions in time to market and operational costs. Additional experience includes consulting roles at Simplyhealth and Atos Consulting, where strategic IT solutions were proposed, and an IT Consultant position at Mastek Ltd, coordinating teams for software delivery. Dilip holds an MBA from Cranfield School of Management and a Bachelor of Engineering in Information Technology from the University of Mumbai.

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Eigenlytics Data Solutions

A B2B / B2G data solution company solving problem of data extraction, with it's offerings focused on enabling automated document processing. Our cutting-edge platform-based offering, riding on general purpose artificial intelligence and deep learning, provides unified capability to extract and process all data formats viz. text, documents, images, audio and videos. It is uniquely designed for high user configuration, which makes it widely adaptable for range of use cases in domains like BFSI, Civic Governance, Logistics etc. Through our product, we are able to take out the manual intervention of data entry either from scanned images or physical documents, which results in massive reduction in man power needed for data entry and thus in turn brings down the TAT and cost of business operations. We help organization not only to deal with legacy data, which is often a herculean challenge, but also helps them design and innovate ways to capture new business datasets in manner that helps improve overall data ecosystem hygiene. On the front of micro-finance or micro-insurance, which is struggling to be a self-sustainable business model, in various geographies, we will have a great value add to offer, in terms of dealing with un-digitized data, poor quality data and non-English or vernacular language issues. The company is founded by 4 co-founders. Our team is uniquely qualified to solve the problem on account of firsthand experience of the real-life challenges accompanied by requisite techno-functional skills to build the necessary solution stack on our own. Moreover, with mindset to keep experimenting and questioning the status-quo, we have been able to achieve breakthrough. R&D let innovative mindset has ensured that we are self-sufficient for building our own tech stack.


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11-50

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