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The funds will be used to optimize AML case investigations, expand into international markets, and acquire clients in the banking and payments sector
National, 7th November 2025: New Delhi-based Artificial Intelligence (AI)-Native Anti-Money Laundering (AML) investigation startup InsightAI has raised 1.1 crore in pre-seed funding led by prominent accelerator and startup ecosystem enabler PedalStart and prominent angels.
InsightAI will utilise the newly acquired pre-seed capital to optimize AML case investigations for financial institutions, expand its presence across India and the Middle East, and enhance its data protection, auditability, and regional compliance capabilities to comply with international regulatory standards. A major part of the funding will go towards building a strong team, with key hires in AI, infrastructure, security, and business development in the near future. The startup also aims to develop a solid sales pipeline targeting leading banks and payment companies in both regions, supported by strategic local partnerships and system integrators.
InsightAI is transforming AML investigation and compliance automation for banks and payment companies across the globe with its proprietary AI-powered models and technology solutions. Founded by IIT alumni, the startup has developed a pioneering deep-tech solution backed by extensive R&D, combining strong technical expertise with a deep understanding of real-world challenges faced by modern financial institutions. InsightAI is currently working with one of the leading banks in the UAE, further strengthening its global footprint and commitment to advancing financial security and compliance.
Speaking on the fundraise, Akash Chandra and Vivek Kumar, Co-Founders, InsightAI, commented, “We are excited to announce the pre-seed investment from PedalStart. It will help establish ourselves as a leading intelligence layer in the evolving compliance and risk management ecosystem. As we grow and navigate the complex global financial-technology landscape, we have already prototyped our flagship solution with strong performance benchmarks. Thanks to the pre-seed funds, we are ready for enterprise-grade product scaling as we make our platform even more robust, secure, and cloud-agnostic, deployable across multiple geographies. Going ahead, we aim to position ourselves as a leading innovation partner for global banks and payment companies, starting with setting up our base in Dubai and serving several key players in the Middle East.”
“InsightAI is addressing a crucial need in the compliance and risk management space with its advanced technology and strong execution focus. Vivek and Akash bring deep domain understanding and technical expertise, which reflects in the maturity of their product and vision. At PedalStart, we believe their innovation has the potential to redefine how financial institutions strengthen compliance frameworks globally. We are excited to partner with them in this journey and support their growth as they scale across markets,” said Manas Pal and Aditya Darolia, Co-Founders of PedalStart.
Beyond the strategic investment, PedalStart has been helping InsightAI with industry connections and GTM strategies. The company’s guidance and mentorship have helped the start-up develop a clear product roadmap, build a sales funnel for the next six months, and pilot their solution with multiple banking partners.
Money Laundering continues to be one of the biggest challenges faced today by the banking and financial services sector, with estimates suggesting around 2-5% of the Global GDP being lost to money laundering each year. Undoubtedly, banks and payment companies globally lose billions of dollars due to fraudulent transactions, undetected money laundering, regulatory penalties, and rising operational costs from inefficient investigation processes. InsightAI is committed to solving such deep, complex issues.
InsightAI aims to build a comprehensive risk and compliance intelligence suite for banks and financial institutions across the globe. The company was recognized among the top AI innovations at the HSBC Data Hackathon 2023 for its effective application in financial crime detection. It has also been a finalist in several leading competitions, including the RBIH Fintech Hackathon.
