Robotics Startup Haber Raises $44 Million in Series C Round Funding

 Artificial intelligence-driven robotics startup Haber has raised $44 million in its Series C round led by BEENEXT,Creaegis and Accel. 

Purpose of fund raising

The company plans to use these funds to expand its operations globally, especially in the US, to meet the growing demand for AI-powered industrial automation solutions.

Vipin Raghavan, CEO of Haber said, “Most customers are based in India, the Middle East, and Africa. Last year, we began exploring the North American market and secured our first customer there... We’ve added a few more in the region. Even in the Western markets, there’s a big scarcity of experienced talent and human capital needed to operate and run manufacturing plants. Hence, we are seeing a big uptick for increased adoption of automation and software solutions,”

Hero Choudhary, Managing Partner at BEENEXT said, “The company’s ability to prioritise and deliver on both profitability and margin growth is truly impressive. They have built immense trust with their customers, consistently delivering measurable results. This is why we’ve chosen to double down on our investment. Their ever-growing deployments are a testament to their customer focus,” 

The company said in a statement that it almost doubled its revenue from major customers over the past year while keeping its churn rate at zero.
Haber has also raised Rs 317.2 crore (about $38 million) in a funding round Series C led by private equity firm Creaegis, along with participation from Accel India, and BeeNext Capital in October 2024.

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In November 2021, The company has raised over $65 million to date, including a $20 million in Series B round led by Ascent Capital with participation from Accel, Elevation, and Beenext.

About Haber 

The Pune based Haber was founded in 2017 by Vipin Raghavan, Priya Venkat, and Arjunan PN. It is an AI-powered robotics company that creates robots to automate labor-heavy tasks in factories. Their technology helps automate processes like sample collection, measurement, analysis, and intervention, reducing the need for manual work in industrial settings.

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