Frinks AI Raises $5.4M In Pre-Series A Round Led by Prime Ventures Partners

Manufacturing AI startup Frinks AI has raised USD 5.4 million in a Pre-Series A funding round led by Prime Venture Partners.

Existing investor Chiratae Ventures, Navam Capital, and Ashok Atluri, Founder of Zen Technologies also participated in this round.

Frinks AI is supported by experienced industry leaders like S Ramadorai (former MD and CEO of TCS), V Sumantran (ex-Executive Director at Tata Motors), Tarun Ramadorai (Professor at Imperial College London), and Gopichand Katragadda (former Group CTO of Tata Sons). They are strategic investors and advisors to the company.

The company will use the new funding to grow its AI platform worldwide, boost research and development, and expand further in the US market.

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“With ongoing supply chain disruptions and rising global trade tensions, we’re seeing a strong push toward localised manufacturing as countries prioritise internal consumption,” said Aditya Agrawal, CEO and Co-founder of Frinks AI. 

“This marks the beginning of a new industrial revolution—one powered by advanced technologies that drive higher productivity and cost efficiency. Frinks AI is at the forefront of this transformation, helping manufacturers worldwide become more competitive, resilient, and future-ready," he added.

"Visual inspection in manufacturing has existed for decades but has long been limited by rule-based systems," noted Brij Bhushan, Partner at Prime VP. "Frinks' proprietary models dramatically improve applicability and reliability. We're excited to support their journey to scale globally."

About Frinks AI 

Founded by Aditya Agrawal, Dharmgya Sharma and Subhra S. Bhattacherjee, Frinks AI is building advanced Vision AI systems to help manufacturers automate and improve quality checks on their production lines. It focuses on creating core vision models for visual inspection in factories. 

The company says manufacturers are already using its AI platform in industries like automotive, consumer goods, building materials and medical devices. 

It also plans to partner with automation companies and OEMs to grow together. Its models are designed to solve key challenges in industrial machine vision, like reliability and adaptability.

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