SwitchOn Raises ₹78 Crore in Pre-Series B Round Led by IvyCap Ventures
SwitchOn has raised ₹78 crore in a Pre-Series B round led by IvyCap Ventures to expand its AI-powered manufacturing quality inspection platform globally.
SwitchOn
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Bengaluru-based Physical AI startup SwitchOn (Abee Research Labs Pvt. Ltd.) has raised $8 million (approximately ₹78 crore) in a Pre-Series B funding round led by IvyCap Ventures, with participation from SIG Tattva and Trifecta Capital.
The fresh capital will be used to accelerate the company’s global expansion, strengthen research and development in next-generation Physical AI technologies, and expand its go-to-market capabilities across key manufacturing industries.
Founded by Aniruddha Banerjee and Avra Banerjee, SwitchOn develops AI-powered quality inspection solutions that integrate directly into manufacturing equipment. Its flagship platform, DeepInspect, leverages edge-native computer vision to detect surface defects with sub-150-micron precision at speeds of more than 1,200 products per minute, delivering over 99% detection accuracy while reducing quality inspection costs by up to 50%.
Since deploying its first production systems in 2021, the company has expanded to more than 170 production lines across over 60 manufacturing facilities in 10+ countries spanning four continents. Its customers include global manufacturers such as Unilever, Bosch, Maruti Suzuki and ALPA.
Commenting on the fundraise, Aniruddha Banerjee, Co-Founder of SwitchOn, said the investment marks a major step towards transforming quality inspection through AI.
“Manufacturing is the backbone of the global economy, yet quality inspection has remained largely manual. With this funding, we are building the infrastructure for autonomous quality intelligence that will help make zero-defect manufacturing a reality across factory floors worldwide,” he said.
Vikram Gupta, Founder and Managing Partner at IvyCap Ventures, said SwitchOn has built a globally relevant Physical AI platform that addresses a critical need in modern manufacturing.
“The company’s technology, execution capabilities and expanding global customer base position it well to lead the next wave of industrial AI innovation. We are excited to partner with the team as they scale internationally,” he said.
Shashvat Somany, Founder of SIG Tattva, said the future of manufacturing will be driven by intelligent factories rather than faster machines, adding that SwitchOn has combined deep technology with production-ready execution to redefine quality inspection at industrial scale.
Abhijit Joshi, Director – Venture Debt at Trifecta Capital, highlighted the founders’ technical expertise and said the company’s proprietary quality inspection platform addresses a significant global opportunity across multiple industries and geographies.
SwitchOn’s latest funding follows a $1.1 million seed round and a $4.2 million Series A, reflecting growing investor confidence in the company’s execution and market leadership. The company also believes its technology can support India’s Make in India and Production-Linked Incentive (PLI) initiatives by enabling domestic manufacturers to achieve global quality standards through indigenous AI-powered quality inspection solutions.
Bengaluru-based Physical AI startup SwitchOn (Abee Research Labs Pvt. Ltd.) has raised $8 million (approximately ₹78 crore) in a Pre-Series B funding round led by IvyCap Ventures, with participation from SIG Tattva and Trifecta Capital.
The fresh capital will be used to accelerate the company’s global expansion, strengthen research and development in next-generation Physical AI technologies, and expand its go-to-market capabilities across key manufacturing industries.
Founded by Aniruddha Banerjee and Avra Banerjee, SwitchOn develops AI-powered quality inspection solutions that integrate directly into manufacturing equipment. Its flagship platform, DeepInspect, leverages edge-native computer vision to detect surface defects with sub-150-micron precision at speeds of more than 1,200 products per minute, delivering over 99% detection accuracy while reducing quality inspection costs by up to 50%.
