Jacobi Robotics commercializes an AI-powered motion planning platform that significantly reduces robot programming time and computational requirements. Its technology reportedly requires 1000x less computational time and generates collision-free trajectories with computational times below 1 ms, enabling deployment in less than one day versus up to one month with existing tools. The company launched availability of its robotics AI software platform and introduced the Jacobi Palletizer, the first in a series of AI-powered solutions leveraging the motion-planning breakthrough. In production deployments, partners have seen a 95% reduction in deployment time and a 24% savings in overall project costs. Jacobi has secured agreements with manufacturers across the US, robotics solutions providers including Formic, and Fortune 500 companies across sectors such as electronics and consumer packaged goods. Based in Berkeley, CA, the company aims to make advanced robotics capabilities accessible and reliable for real-world production settings. Jacobi Robotics builds robot-path-planning software designed to detect and avoid singularities that can stop industrial robot arms. The product targets repetitive industrial tasks such as bin picking, package sort and palletizing, where singularities require manual intervention and tedious path re-tuning. Its software supports major robot-arm vendors including ABB, Fanu, Universal and Yaskawa. The company has run pilots with automation deployment firm Formic and an unnamed large consumer electronics partner, with Formic reporting significantly reduced deployment times. Jacobi was founded in 2022 by four UC Berkeley robotics students alongside professor Ken Goldberg, who serves as chief scientist. The startup closed a $1.0 million pre-seed in early 2023 and is currently focused on raising a seed to bring its solution to market.

Total raised

$6M

Funding rounds

2

Latest round

Seed

Latest activity

Jul 2024