Realtime Robotics Secures $31M Series A Funding

Realtime Robotics Secures $31.4 Million in Funding
Realtime Robotics, headquartered in Boston, has announced a new funding round totaling $31.4 million. This investment builds upon the company’s previously secured $11.7 million Series A funding, which was initially revealed in late 2019.
Investment Details
A diverse group of investors participated in this funding round. Key contributors include HAHN Automation, SAIC Capital Management, Soundproof Ventures, Heroic Ventures, SPARX Asset Management, Omron Ventures, Toyota AI Ventures, Scrum Ventures, and Duke Angels.
Focus on Industrial Robotics Control
Realtime Robotics is at the forefront of companies developing advanced control systems for industrial robotics. The startup concentrates on simplifying the deployment of robotic systems, minimizing the need for extensive programming.
Their technology provides adaptable controls capable of managing multiple systems concurrently, increasing efficiency and flexibility.
Expansion and Future Plans
This latest funding, which almost doubles the company’s total capital, will be strategically allocated to expedite product development. Furthermore, it will facilitate the expansion of their services into new global markets.
The increased investment arrives during a period of heightened interest in robotics, spurred by the challenges and opportunities presented by the global pandemic.
CEO Statement
According to CEO Peter Howard, “This investment by some of the world’s leading manufacturers and automation providers stands as a testament to our ability to dramatically improve the value proposition for robotic implementations.”
He further stated that early successes have led to close collaboration with customers and partners, refining features and user experiences in preparation for wider deployment across engineering, factory, and warehouse operations.
Applications Across Industries
Realtime Robotics’ solutions cater to a broad spectrum of industrial applications. These include tasks such as pick and place operations, automated packaging processes, and efficient palletizing of boxes.
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