Bengaluru-based manufacturing tech startup SwitchOn has secured $8 million in a pre-Series B funding round led by IvyCap Ventures. The capital will support international expansion and the development of its DeepInspect AI platform, which automates quality control on factory floors.
SwitchOn, a manufacturing technology firm focused on artificial intelligence, has raised $8 million in its latest funding round. The investment was led by IvyCap Ventures, with additional participation from SIG Tattva and Trifecta Capital. This pre-Series B infusion is aimed at scaling the company's presence in international markets and accelerating research and development for its automated quality control systems.
Technology Behind Automated Inspections
The company’s core product, DeepInspect, uses computer vision to identify product defects directly on the factory production line. By integrating this technology, manufacturers can potentially reduce their reliance on manual quality checks, which are often prone to human error. The system functions through edge processing, meaning data is analyzed locally near the machinery rather than being sent to remote data centers. This approach, which the company labels as Physical AI, allows for real-time defect detection that can keep pace with high-speed manufacturing environments.
Strategic Expansion and Operational Focus
Founded by Aniruddha Banerjee and Avra Banerjee, the firm plans to use these funds to sharpen its go-to-market strategies across various manufacturing sectors. While the company has gained traction by automating quality assessments, its future performance will likely depend on how effectively it can adapt its technology to different types of manufacturing processes and scale its sales operations globally.
For investors monitoring the broader manufacturing tech space, the key monitorable remains how well the company can integrate its software with existing legacy machinery in factories worldwide. Scaling AI solutions for industrial use often involves long sales cycles and the need for significant customization to meet the specific requirements of different industries, such as automotive, electronics, or industrial engineering. Additionally, the company will need to demonstrate that its systems can consistently deliver cost savings through reduced defect rates to justify widespread adoption by large-scale manufacturers. The upcoming focus for the company will be on executing its international expansion plans while maintaining the technical reliability of its DeepInspect platform in diverse production settings.