Perceptyne Secures $3 Million Seed Round to Revolutionize Robotics Automation

Perceptyne robotic automation," "AI robotics for manufacturing," and "PR-34D and PR-9D robots."

Deep tech robotics startup Perceptyne has raised $3 million in its seed funding round, co-led by Endiya Partners and Yali Capital, with participation from Whiteboard Capital and prominent angel investors. The fresh capital will accelerate product development, customer acquisition, and growth initiatives as Perceptyne collaborates with major players in the automotive and electronics manufacturing sectors.

AI-Driven Robotics for Human-Like Dexterity

Founded by Raviteja Chivukula, Jagga Raju Nadimpalli, and Mrutyunjaya Nadiminti, Perceptyne aims to push the boundaries of robotics automation with its AI-first approach. The startup is developing a vertically integrated, full-stack robotics platform that leverages artificial intelligence (AI) to perform complex tasks requiring human-like dexterity, such as product assembly and packaging.

Game-Changing Flagship Products: PR-34D and PR-9D

Perceptyne’s flagship products, PR-34D and PR-9D, are advanced robotic systems designed to optimize manufacturing processes. The PR-34D is a dual-arm robot, while the PR-9D features a single-arm configuration. Both robots come equipped with integrated computer vision, AI capabilities, multi-modal sensing, and highly articulate end-effectors that make them ideal for assembly line applications. The innovative design allows these robots to adapt seamlessly to a wide range of tasks, minimizing the need for customization.

Reducing Automation Barriers for Manufacturers

Perceptyne’s unique, integrated approach aims to significantly reduce the barriers to adopting robotic automation in manufacturing. By cutting down integration time from quarters to weeks, Perceptyne’s solutions enable companies to implement automation without requiring major changes to existing assembly lines. This rapid deployment capability allows manufacturers to accelerate their robotic automation efforts and improve operational efficiency.

 

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