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Thao Lam La · · 2 min read

Seeds Capital backs SG robotics startup’s pre-series A

Botsync, a Singapore-based robotics startup, has raised an undisclosed amount in a pre-series A round from investors such as Seeds Capital, Venture Catalysts, and AngelCentral.

Botsync’s MAG autonomous mobile robots / Photo credit: Botsync

The startup revealed that the latest round brings its total funding raised to US$3.2 million.

Founded in 2017 by Nikhil Venkatesh, Prashant Trivedi, Singaram Venkatachalam, and Rahul Nambiar, Botsync specializes in building industrial autonomous mobile robots for manufacturing factories and warehouses. It currently has operations in India, Singapore, Thailand, and Malaysia.

The company’s flagship product is the MAG robot line. Powered by a deep learning algorithm, these robots can navigate autonomously through factories and warehouses by creating a one-time map of the operating site. They are also capable of transferring loads of up to 1,500 kilograms.

The startup said its solution can be deployed within days for customers in industries such as car manufacturing, heavy vehicle production, consumer products, textiles, and apparel, as well as for third-party logistics providers.

Botsync plans to use the new funds to scale its solution offerings and improve sync OS, its no-code automation platform. The firm added that its team grew from 15 to 30 employees in the last 18 months and it will primarily focus on Singapore, Malaysia, and India over the next two years.

“We are now primed to build strong partnerships with our customers and offer tailor-made solutions that can be implemented flexibly across Asia,” said Nambiar, who also serves as Botsync’s CEO.

See also: Singapore no-code platform for robots cuts automation costs by half

Other investors in this round include:

  • Wong Fong Engineering
  • ZB Capital
  • Iterative
  • Locus Ventures
  • Funderbeam
  • Amit Pachisia
  • Nalin Advani
  • Roger Crook

Editing by Miguel Cordon and Lorenzo Kyle Subido

(And yes, we’re serious about ethics and transparency. More information here.)

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Thao Lam La