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Physical AI startup SwitchOn raises $8 million to scale manufacturing inspection

Physical AI startup SwitchOn has raised $8 million in a pre-Series B funding round led by IvyCap Ventures, with participation from SIG Tattva and Trifecta Capital, the company announced.

Physical AI startup SwitchOn has raised $8 million in a pre-Series B funding round led by IvyCap Ventures, with participation from SIG Tattva and Trifecta Capital, the company announced. The Bengaluru-based startup plans to use the capital to accelerate international expansion, enhance research and development in next-generation physical AI, and scale its go-to-market capabilities across manufacturing sectors globally, according to inc42.com.

Founded in 2017 by Aniruddha Banerjee and Avra Banerjee, SwitchOn develops AI-powered visual inspection systems that automatically detect defective products on production lines using computer vision. Its flagship platform, DeepInspect, operates with sub-150-micron precision and inspects over 1,200 products per minute. The startup serves industries including FMCG, electronics, automotive, and pharmaceuticals. The funding round included a mix of equity and debt, though the company did not disclose the exact breakdown, inc42.com reported.

SwitchOn's technology has been deployed across more than 170 production lines in over 60 manufacturing facilities on four continents, with clients such as Unilever, Bosch, Maruti Suzuki, and ALPA. The platform claims to reduce quality-related costs for manufacturers by up to 50%. Prior to this round, SwitchOn raised $4.2 million in a Series A round in 2023 from Axilor Ventures and pi Ventures. Including the latest funding, the startup has raised approximately $13 million to date, according to inc42.com.

The startup’s next steps include deepening its R&D efforts and expanding its market reach internationally. The pre-Series B round led by IvyCap Ventures marks a significant milestone in SwitchOn’s growth trajectory, positioning it to scale its AI-driven manufacturing inspection solutions globally.

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