The goal is to leverage expertise in AI, automation, and the modeling of business know-how to address challenges involving heavy documentation, regulatory requirements, and operational complexity.
This finance-focused vertical is already underpinned by several concrete projects. In the realm of investor relations, deepika has supported the Open IR platform, which facilitates the management of interactions between listed companies and their investors. The solution developed enables the automation and increased reliability of some of the responses generated by investor relations teams, while ensuring results are accurate, traceable, and consistent with the public information disclosed by the company.
deepika is also active in the payments sector. The startup studio is currently leading a project for a payment industry player focused on automating performance reviews for e-commerce transactions. The objective is to facilitate the analysis of large volumes of transaction data, identify anomalies and optimization opportunities more quickly, and provide business teams with directly actionable insights.
In parallel, deepika is investing in two new strategic areas of application.
- The first concerns Non-Performing Loans (NPLs), utilizing an innovative approach where AI helps estimate portfolio values from the perspective of debt sellers.
- The second area focuses on compliance challenges—specifically regulatory monitoring, customer onboarding and KYC, regulatory reporting (such as AML/CFT reports and periodic filings), and managing requests and legal orders from authorities—activities that still entail significant manual work regarding data collection, verification, and document updates.
Through this finance vertical, Deepika and the business lead for finance (Tang Loaec, former CEO of Nuapay SAS/GoCardless Group) aim to develop robust, explainable AI solutions integrated into business processes, with a particular emphasis on traceability, data security, and risk management.
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