Physical AI startup SwitchOn raises $8 Mn in pre-Series B round led by IvyCap

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Bengaluru-based Physical AI startup SwitchOn has raised $8 million (around Rs 78 crore) in a pre-Series B funding round led by IvyCap Ventures. The round also saw participation from SIG Tattva and Trifecta Capital.
This marks SwitchOn's third major funding round after raising $1.1 million in seed funding and $4.2 million in its Series A round.
The fresh capital will be used to expand internationally, strengthen research and development, and scale its go-to-market operations across manufacturing sectors.
Founded by Aniruddha Banerjee and Avra Banerjee, SwitchOn develops AI-powered quality inspection systems for manufacturers. Its platform integrates computer vision and AI directly into factory equipment to automate defect detection and quality checks.
The startup's flagship product, DeepInspect, helps manufacturers identify defects in products during production using edge-based computer vision technology. According to the company, the platform can inspect products at high speeds while reducing quality-related costs.
SwitchOn serves manufacturers across sectors including consumer goods, electronics, automotive and pharmaceuticals. Its customers include Unilever, Bosch, Maruti Suzuki and ALPA.
The firm claims to have deployed across more than 170 production lines in over 60 manufacturing facilities across four continents.
Commenting on the fundraise, co-founder Aniruddha Banerjee said the company aims to build AI-driven systems that automate quality inspection and support zero-defect manufacturing.
With the latest funding, SwitchOn joins a growing list of Physical AI startups attracting investor interest. Recently, Hakimo raised $12 million, Human Archive secured $8.2 million in seed funding, and Mowito raised $3 million in a pre-seed round led by Version One Ventures. Meanwhile, Neocambrian AI launched an India-focused robotics data factory to build training datasets for Physical AI models, highlighting growing activity across the sector.

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