Network VC Invests in AI Robotic Arms from Vassar Robotics

Network VC has announced a new investment in Vassar Robotics, a San Francisco-based startup developing affordable, AI-powered robotic arms. The exact amount of the deal has not been disclosed.

  • The funding will support Vassar Robotics in scaling up production, enhancing its AI capabilities, and bringing its technology to homes, educational institutions, and developer communities.
  • Founded in 2025 by Charles Yong, an MIT graduate with degrees in mechanical engineering and computer science, Vassar Robotics began by automating post-processing for metal 3D printing as part of the MIT Design X accelerator. The company later pivoted toward home robotics, with a mission to make advanced robotics accessible to, as they put it, «every nerd in your life.»

«The company’s first product, Navrim, costing $200–$219, can learn new skills, such as playing chess, in less than 30 minutes through demonstration, without the need for programming,» said Oleksandr Soroka, founder and CEO of the foundation.

  • Demo videos showcase Navrim responding to natural language commands and visual cues, performing tasks like interacting with everyday objects and playing chess, offering a glimpse into the future of intuitive, AI-driven robotics.

About Network VC

  • Network VC California Seed Fund was founded by Ukrainian entrepreneur Alexander Soroka, who also launched the Startup.Network business angel platform. Network VC invests in startups that have graduated from three major U.S. accelerators: 500 Startups, Y Combinator (YC), and Techstars.
  • The company allows Startup.Network shareholders to participate in syndicated deals, providing access to early-stage investment opportunities in Silicon Valley.
  • Network VC has been highly active recently. In June alone, it invested in Mbodi AIGodelaApproval AITropir, and Parsewise. Also, it had a lot of deals in April and March.
  • It also includes the Oppenheimer Acceleration program, which focuses on defense technologies.
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Network VC Invests in AI Robotic Arms from Vassar Robotics

Network VC has announced a new investment in Vassar Robotics, a San Francisco-based startup developing affordable, AI-powered robotic arms. The exact amount of the deal has not been disclosed.

  • The funding will support Vassar Robotics in scaling up production, enhancing its AI capabilities, and bringing its technology to homes, educational institutions, and developer communities.
  • Founded in 2025 by Charles Yong, an MIT graduate with degrees in mechanical engineering and computer science, Vassar Robotics began by automating post-processing for metal 3D printing as part of the MIT Design X accelerator. The company later pivoted toward home robotics, with a mission to make advanced robotics accessible to, as they put it, «every nerd in your life.»

«The company’s first product, Navrim, costing $200–$219, can learn new skills, such as playing chess, in less than 30 minutes through demonstration, without the need for programming,» said Oleksandr Soroka, founder and CEO of the foundation.

  • Demo videos showcase Navrim responding to natural language commands and visual cues, performing tasks like interacting with everyday objects and playing chess, offering a glimpse into the future of intuitive, AI-driven robotics.

About Network VC

  • Network VC California Seed Fund was founded by Ukrainian entrepreneur Alexander Soroka, who also launched the Startup.Network business angel platform. Network VC invests in startups that have graduated from three major U.S. accelerators: 500 Startups, Y Combinator (YC), and Techstars.
  • The company allows Startup.Network shareholders to participate in syndicated deals, providing access to early-stage investment opportunities in Silicon Valley.
  • Network VC has been highly active recently. In June alone, it invested in Mbodi AIGodelaApproval AITropir, and Parsewise. Also, it had a lot of deals in April and March.
  • It also includes the Oppenheimer Acceleration program, which focuses on defense technologies.
Noticed an error? Please highlight it with your mouse and press Shift+Enter.
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