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Panthera Growth Partners leads $30 Mn Series B round in Innefu Labs

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Panthera Growth Partners leads $30 Mn Series B round in Innefu Labs

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Panthera Growth Partners leads $30 Mn Series B round in Innefu Labs


Innefu Labs, an artificial intelligence company in the space of National Security, has raised $30 million in Series B funding round led by Panthera Growth Partners.

The capital injection, completed through a combination of primary and secondary transactions from Panthera’s second fund, positions Innefu for an IPO and accelerates its push into international markets after Innefu’s initial successful forays in the Middle East.

The proceeds will be used for the next phase of global market expansion, alongside deep-tech research and development anchored in its AI-first, sovereign capabilities, Innefu Labs said in a press release.

Co-founded in 2010 by Tarun Wig and Abhishek Sharma, Innefu is an Artificial Intelligence company committed to strengthening national and cyber security. With more than 100+ installations across the Indian Subcontinent, Middle East and South East Asia, and creating indigenous platforms & multi-modal fusion systems currently deployed across defense, intelligence, law enforcement, revenue intelligence, and large enterprise clients.

The company with its own range of products serves a diverse client base including Defense and Intelligence organizations, Law Enforcement Agencies, Financial Intelligence Units, BFSI as well as top Fortune 500 companies.

Innefu’s deployments include several national scale AI intelligence fusion centres including national terrorism data fusion centre, operational intelligence fusion centre, revenue intelligence fusion platforms, predictive policing platforms, and open-source intelligence (OSINT) and deep web fusion platform for law enforcement & defense agencies.

The company plans to advance its proprietary Agentic AI platform, establishing a dedicated Physical AI (robotics) wing, and developing sovereign AI infrastructure with secure, domain-specialized language models built for high-trust environments.

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