Peer Robotics raises $2.3M in seed funding round led by Kalaari Capital

• ByStartupStory     |    September 13, 2022

Peer Robotics, a mobile robotics solution designed to work with humans, has raised $2.3 million in funding that was led by Kalaari Capital, with participation from existing investors Axilor Ventures, Connecticut Innovations and Innopact VC.

Rishabh Agarwal, Co-founder and CEO, Peer Robotics said, “Manufacturers regularly deal with lots of repetitive labour-intensive tasks that are great candidates for automation. Small and medium-size companies are struggling with the labour shortage today, not to mention high turnover. Also, many operations are still manual with employees operating at a high-risk of injuries and fatigue.  Solutions to date have been too expensive and complex,”

Furthermore, The company statement also said that the company’s robots learn from humans in real-time allowing humans on the shop floor to easily integrate and deploy solutions alongside them with a flexible and easy to work with design, out of box deployment and low maintenance that makes it user friendly.

It is worth mentioning that several industrial facilities in the US and India have been researching and developing the robot technology over the past 12 months and also the Peer Robotics is part of Stanley+Techstars Accelerator programme portfolio.

Ravinder Pal Singh, Partner, Kalaari Capital said,“Cyber physical systems are ushering a new era where collaborative robots with contextual intelligence, low implementation time, and negligible integration cost will lead industrialization in every sector.” 

About Peer Robotics

Gurugram-based Peer Robotics was founded in 2019 by Rishabh Agarwal and Tanya Raghuvanshi. The startup is a collaborative mobile robotics company that is bridging the gap between how humans and robots work together. Peer Robotics’ platforms are capable of learning from humans in real-time, providing flexible and adaptable solutions for manufacturing, warehousing, and healthcare sectors. Their robots are capable of performing multiple tasks like internal material logistics, package sorting, visual inspection.

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