Andreessen Horowitz leads Eka Robotics Series A funding

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Eka Robotics Completes $150 Million Series A Funding at a Valuation of About $1.45 Billion

U.S. embodied AI startup Eka Robotics announced the completion of a $150 million Series A funding round at a post-money valuation of about $1.45 billion, co-led by a16z and F-Prime, with participation from Samsung Next and others. Founded in 2025, the company focuses on developing a VFA model that emphasizes force feedback and a self-developed dexterous gripper, with gripper hardware costs below $1,000 and a rated lifespan of 5 million cycles. Eka Robotics says its robots can complete about 1,500 operations per hour, with a grasp success rate exceeding 95%, and can handle objects weighing no more than 1 kg. It is currently running pilot collaborations with multiple industrial customers.

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Eka Robotics raises $150 million at a $14.5 billion valuation to build robotic hands with a sense of touch

Eka Robotics has completed a $150 million Series A funding round at a $14.5 billion valuation, led by Andreessen Horowitz and Fidelity's F-Prime. Its vision-force-action model uses force sensors in custom grippers to sense grip strength, allowing it to adjust its hold mid-grasp when an object slips. The robot can pick up about 1,500 objects per hour that are outside its training data, compared with a human baseline of about 600. The gripper costs less than $1,000 and is currently rated for 5 million work cycles; the company aims to raise that to 20 million, the standard for industrial robotic arms.

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Eka Robotics Completes $150 Million Series A Funding at a $1.45 Billion Valuation

Eka Robotics has completed a $150 million Series A funding round led by a16z and F-Prime, at a post-money valuation of $1.45 billion. The company was founded by MIT professor Pulkit Agrawal and former Google DeepMind researcher Tuomas Haarnoja. Its vision-force-action model, paired with force-sensing grippers, can grasp about 1,500 objects weighing under 1 kg per hour, with a success rate exceeding 95%; the gripper costs less than $1,000 and is rated for 5 million cycles. The team uses a physics simulator to build reinforcement learning environments, and says it can generate thousands of hours of robot experience within minutes. It is currently running pilots with industrial customers for pick-and-place and cable manipulation.