Intain Inc. Acquires IN-D.ai to Transform Unstructured Data in Finance

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Intain Inc., a prominent figure in the field of digital structured finance, has recently announced its acquisition of IN-D.ai, a company specializing in converting unstructured documents and data into actionable insights. IN-D.ai, which originated from Intain’s AI Lab in 2019, has established itself as a key player in automating document processing, reducing costs, and operational risks for several financial institutions.

By joining forces with IN-D.ai, Intain strengthens its Verification Agent module, which utilizes advanced technology to verify and certify loan documents, leading to improved efficiency and accuracy. This technology has already facilitated the speedy review and certification of a 5,000-loan pool consisting of over 55,000 pages in less than two hours.

Furthermore, IN-D.ai powers Intain’s innovative beta feature, “Converse with Data” (Converse), for Structured Finance. This feature enables investors and asset managers to ask questions about their portfolios or specific deals and receive immediate answers. Converse eliminates the need for complex analytical tools and spreadsheets, providing users with an around-the-clock analyst on their computers.

With this acquisition, Intain recognizes the importance of intelligent and distributed systems in the future of digital structured finance. Siddhartha, Founder and CEO of Intain, expressed his excitement, saying, “IN-D.ai is not an acquisition, it is the welcoming home of our former colleagues who have then been partners for all these years. It puts us in the best position to serve our clients who are working with us in building the digital future of structured finance.”

Hugh Simon, Chairperson of Hamon Investment Group, also acknowledged the seamless integration between the two teams. Simon believes that this collaboration will provide the structured finance industry, a $13 trillion market in the U.S., with access to IN-D.ai’s expertise in AI and its extensive experience in financial services.

Intain is dedicated to fostering diversity within the fintech industry, with over half of its workforce comprising women. The company’s innovative platform utilizes blockchain, artificial intelligence, and other digital technologies to create a collaborative data environment for lenders, issuers, investors, and other stakeholders involved in asset-backed transactions.

For more information about Intain, visit www.intainft.com or follow Intain on LinkedIn. To learn more about IN-D.ai, visit www.in-d.ai or follow IN-D.ai on LinkedIn.

Intain Inc.’s acquisition of IN-D.ai represents a significant step towards transforming unstructured data in the field of finance. By leveraging IN-D.ai’s expertise in converting unstructured documents and data into actionable insights, Intain aims to enhance its Verification Agent module, which verifies and certifies loan documents. This technology has already demonstrated impressive results, with the certification of a large loan pool consisting of over 55,000 pages accomplished in less than two hours.

The acquisition also benefits Intain’s “Converse with Data” feature for Structured Finance, which allows investors and asset managers to ask questions about their portfolios and receive immediate answers. This feature eliminates the need for complex analytical tools and spreadsheets, offering users an accessible and efficient solution.

Intain recognizes the significance of intelligent and distributed systems in the future of digital structured finance. By integrating IN-D.ai’s AI expertise and financial services experience, Intain aims to serve its clients in building the digital future of structured finance.

One key advantage of this acquisition is the potential cost reduction and operational risk mitigation for financial institutions. Through the automation of document processing and verification, Intain’s technology can streamline workflows and improve efficiency.

However, there are also challenges and controversies associated with the transformation of unstructured data in finance. One challenge is ensuring the accuracy and reliability of the data transformation process. This requires robust algorithms and thorough validation procedures to minimize potential errors and biases.

Furthermore, there may be concerns regarding data privacy and security. As unstructured data contains sensitive information, ensuring proper data protection measures and compliance with regulations is crucial.

In terms of market trends, the field of digital structured finance is experiencing rapid growth. The adoption of AI, machine learning, and other advanced technologies is becoming increasingly prevalent in financial institutions. These technologies offer the potential to improve decision-making, risk management, and operational efficiency in the industry.

Forecasting the future, the utilization of unstructured data transformation technologies is likely to expand further. As financial institutions seek innovative solutions to enhance their processes and gain a competitive edge, the demand for efficient document processing and data analysis tools will continue to grow.

For more information about Intain and its offerings in digital structured finance, visit their website at www.intainft.com. To learn more about IN-D.ai and their expertise in converting unstructured data, visit their website at www.in-d.ai.