Hyperbots Inc.
Souparna D. is a Senior AI/ML Research Engineer at Hyperbots Inc. since October 2023 and a founding member involved in developing the AI module for the company. Previously, Souparna served as a Data Scientist at UnitedHealth Group from August 2022 to October 2023, focusing on leveraging large language models (LLMs) to address complex problems using state-of-the-art natural language processing (NLP) techniques. Prior experience includes working as a Data Scientist at Brane Enterprises Pvt Ltd, where transformer-based techniques were utilized to enhance contextual text measures for a web solution, and as a Research and Development Intern at Optum R&D Data Sciences, where Souparna contributed to online topic modeling for short texts through innovative matrix factorization techniques. Souparna holds a Master of Technology in Computer Science from the International Institute of Information Technology Hyderabad, completed in 2020.
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Hyperbots Inc.
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At Hyperbots, we are on a mission to free up humans from mundane and repetitive tasks in finance. Tasks such as invoice processing, 3-way/2-way matching, accruals, capitalization, GL mapping and updates, early payment discount decisions, procurement process intelligence, employee expense management, receivables, collections, collaboration with employees, vendors, and customers, need to be significantly transformed through AI. This requires secure, accurate, and state-of-the-art finance-specific AI innovations in NLP, Vision, Language Models, Recommenders, Intelligent Document Processing, Data Visualizations, and Conversational Technology domains. At Hyperbots, we have rooted our research in the above domains to create significant ROI for AI adoption in finance. We have designed the AI Assistants from the ground up with help from dozens of CFOs of various industries. Our AI Assistants for finance are AI-native with inbuilt flexibility to configure them to suit your specific needs with no financing for a custom IT project. Initial trials have demonstrated an 80% reduction in the per-invoice cost of processing due to end-to-end and exhaustive automation. In addition, invoice and expense processing time is slashed from 5-15 days to a few minutes. Our AI Assistants are ready to deploy, easy to configure and come with inbuilt integrations with widely used ERP, CRM, and other applications.