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Eka Robotics Raises $145 M, Claims 95% Reliable 1‑kg Pick‑and‑Place Robot

1 reports1 sources10/20/2026 updated

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Eka Robotics has closed a $145 million funding round, valuing the company at $145 million. The startup unveiled a robot operating system built on a visual‑force‑action model that can pick up 1‑kg objects at a rate of 1,500 per hour with 95 % reliability, and it demonstrates human‑like trial‑and‑error behaviour. The key innovation is the use of force feedback rather than vision alone to achieve precise grasping, coupled with simulation‑generated robot experience to accelerate learning. Eka is currently conducting confidential pilots with industrial clients on tasks such as picking, placing and cable handling. While the company’s claims have attracted attention, the technology’s real‑world performance and scalability remain to be validated in broader production settings.

Written with AI from the reporting · updated 10/20/2026

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  1. 1Unclassified fact stationOct 20, 00:00recorded Oct 20, 21:28single sourcerevised

    Eka Robotics完成1.45亿美元融资

    Read original source ↗ TechCrunch · AIReplay this moment in the explorer
    Evidence & revisions · 1 source records
    Subject:
    eka-robotics
    Action:
    完成融资
    Object:
    融资
    Occurred (fact side):
    Oct 20, 00:00
    TechCrunch · AI ↗Report pageRevision 3 · currently revised
    Published (valid side):
    Oct 20, 21:00
    First seen (known side):
    Oct 20, 21:28
    Fact stationSingle source · one-sided claimRevised

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Oct 20
  1. TechCrunch · AIRelated fact: single sourceSource report revised
    Eka Robotics valued at $1.45 billion after $150 million Series A led by a16z and F-Prime

    Report first recorded Oct 20, 21:28

    Eka Robotics, founded by MIT professor Pulkit Agrawal and former Google DeepMind researcher Tuomas Haarnoja, emerged from stealth with a $150 million Series A round valuing the company at $1.45 billion post-money. The funding was led by a16z and F-Prime. The startup's manipulation architecture, featuring a force-sensitive gripper and a vision-force-action model, enables its robot to pick up objects with 95% reliability and adapt to new items without retraining. The robot demonstrates superhuman dexterity, handling 1,500 one-kilogram objects per hour, and exhibits a 'humanness' in its retry behavior when failing.

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