Union Square Ventures
Union Square Ventures is a venture capital firm based in New York City. For more than two decades, we have invested at the edge of large markets being transformed by technology. We partner with companies building durable new infrastructure and services across categories such as AI, Robotics, Energy, Consumer, Money, and Biotech. We are generalist investors who invest at the earliest stages of company building and support entrepreneurs throughout their entire journey, in many parts of the world.
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About
Union Square Ventures is a venture capital firm based in New York City. For more than two decades, we have invested at the edge of large markets being transformed by technology. We partner with companies building durable new infrastructure and services across categories such as AI, Robotics, Energy, Consumer, Money, and Biotech. We are generalist investors who invest at the earliest stages of company building and support entrepreneurs throughout their entire journey, in many parts of the world.
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Tutor Intelligence raises $75 million to scale robot workforce
Tutor Intelligence, the robotics research and deployment company, today announced its $75 million Series B led by Andreessen Horowitz, bringing the company’s total capital raised to $117 million. The round will support Tutor’s frontier robot foundation model training, as well as the manufacturing and deployment of Sonny and Cassie, Tutor’s robot workers, which run the […]
Tutor Intelligence raises Series B to scale model training, robot deployments
Tutor trains its Sonny robot on real-world manipulation tasks. Credit: Eugene Demaitre Real-world data, human “tutors,” and simulation are all part of the recipe for training AI models to enable next-generation robots to tackle a widening variety of tasks. Tutor Intelligence Inc. today said it has raised $75 million in Series B funding as it works toward general-purpose robot
Machenta raises $40 million betting simulation can replace real-world robot training data
London startup Machenta raised $40M from Creandum and Union Square Ventures to prove that robots can learn new tasks from a single demonstration, using a model pretrained entirely in simulation ... no real-world data collection required.