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Pascal AI Labs Secures $3.1 Million Seed Funding Led by Kalaari Capital

Pascal AI Labs has raised $3.1 million in seed funding in a round led by Kalaari Capital, with participation from Norwest, Infoedge Ventures, Antler, and several leading angel investors.

Founded by Vibhav Viswanathan and Mithun Madhusudan, the company is building a vertical platform for agentic investment research workflows. The platform is already being used by more than 25 financial firms across the United States and the Asia-Pacific region, including private equity funds worth $2 billion and one of the top three global asset managers with over $1 trillion in assets under management.

Vibhav Viswanathan, co-founder and Chief Executive Officer of Pascal AI, said: “The future of investment management is autonomous investment research. Pascal AI is systematically automating complex investment workflows with the long-term vision of creating a fully autonomous investment research company. This funding allows us to accelerate that journey, moving from workflow automation to true autonomy, and giving analysts instant, auditable insights and CIOs a continuously updated view of exposures and performance.”

Sampath P, Partner at Kalaari Capital, added: “At Kalaari, we believe the next decade will see a decisive shift toward autonomous research platforms that can scale human judgment with machine intelligence. Pascal AI is at the forefront of this transformation—building secure, auditable, and truly agentic workflows that do not just process information but reason like an investor. What stood out to us was the clarity and conviction with which Vibhav and Mithun are reimagining how investors and CIOs make decisions.”

Pascal AI is built on a proprietary Knowledge Graph that ensures every action is fully auditable and secure. With enterprise-grade security, role-based permissions, and on-premise deployment, the platform is designed to deliver trust in high-stakes financial decision making. It aims to help investment teams move away from information overload and embrace the possibilities of autonomous research.

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