Zurich-based Swiss-Mile secures over €19.8 million in seed funding, co-led by Jeff Bezos and HongShan


Swiss-Mile, a pioneering firm connecting AI with the bodily world utilizing autonomous machines, introduced at this time the profitable closure of over €19.8 million seed funding spherical. This spherical was notably co-led by Jeff Bezos, by Bezos Expeditions, and HongShan, with extra participation from the Amazon Industrial Innovation Fund and Armada Funding. The spherical additionally noticed continued assist from present investor Linear Capital, underscoring the sturdy perception in Swiss-Mile’s imaginative and prescient and potential.

Based in April 2023, Swiss-Mile was established with a daring mission: to free humanity from laborious and repetitive duties by bridging the hole between synthetic intelligence and the bodily world. The corporate’s main focus is on creating actually autonomous robots that may carry out advanced duties in dynamic environments. By assembling a workforce of world-class specialists in embodied AI and robotics, Swiss-Mile has shortly made a reputation for itself in tackling a few of the most difficult facets of mobility, autonomy, and manipulation.

In simply its first yr, Swiss-Mile has achieved important milestones, together with pilot deployments with key clients in areas reminiscent of last-mile supply in sensible cities and safety for important infrastructure. These clients have skilled firsthand the capabilities of Swiss-Mile’s progressive wheeled-legged robots, that are powered by superior neural networks. The robots’ skill to navigate and carry out duties autonomously has set a brand new customary within the trade, drawing important consideration from each media and trade leaders.

Investor confidence and Business management

“Swiss-Mile, using their cutting-edge algorithms and deep analysis experience, has developed a product that stands out on this trade,” stated Caroline Fu, a companion at HongShan. “We’re thrilled to watch the technological developments the corporate has achieved, and are assured it’s going to play a number one function in remodeling the embodied intelligence trade.”

Swiss-Mile is a spin-off from the famend Robotic Programs Lab at ETH Zurich and has been on the forefront of integrating synthetic neural networks into robots with each legs and wheels. The corporate’s expertise permits robots to stroll, drive, stand upright on two legs, and manipulate objects with wheeled finish effectors. This versatility is essential to addressing real-world challenges in each mobility and manipulation, positioning Swiss-Mile as a pacesetter within the subsequent wave of robotic automation.

The corporate’s embodied AI has already garnered important media consideration, with a notable showcase on the GTC 2022 keynote by NVIDIA CEO Jensen Huang. Past its scientific contributions, Swiss-Mile has demonstrated the sensible functions of its expertise, having been a part of the profitable workforce within the DARPA Subterranean Problem—an occasion the Washington Submit known as “The Tremendous Bowl of Robotics.”

“Swiss-Mile stands out as one of many main embodied AI firms globally, based by pioneers who initiated this pattern,” stated Harry Wang, founder and CEO of Linear Capital. “Their worldwide and customer-centric mindset from the very starting will allow them to leverage international assets, making Swiss-Mile a number one energy within the subsequent wave of the bodily AI revolution.”

A unified method to robotic intelligence

Swiss-Mile’s method to robotics is pushed by a unified framework that integrates reinforcement and supervised studying, permitting robots to autonomously study and adapt to real-world deployments. This permits the technology and scaling of novel robotic behaviors, that are frequently refined by knowledge collected from each real-world and artificial situations. The flexibility of Swiss-Mile’s AI framework means it may be utilized to varied robotic platforms, impartial of their particular design or embodiment.

The corporate has already demonstrated this adaptability by efficiently coaching a brand new neural community for various robotic {hardware} in only one week, showcasing the potential for speedy innovation and deployment.

Buyer-centric enterprise mannequin

Swiss-Mile combines its technical excellence with a powerful concentrate on buyer wants and a drive to scale successfully. The corporate has already initiated pilot packages with beta purchasers worldwide, rigorously testing its embodied AI in various real-world settings. Inside only a month of its inception, Swiss-Mile deployed its first robotic for last-mile supply, and since then, it has expanded its attain into sectors like monitoring and logistics.

The expertise developed by Swiss-Mile is ready to play an important function in addressing the rising international problem of labor shortages, which may impose a $10 trillion financial burden on nations combating workforce deficits. By unlocking new use circumstances for cellular robots in dynamic environments, Swiss-Mile is remodeling how industries function, providing important options to mitigate employee shortages.

“The Swiss-Mile workforce is constructing progressive, real-world-oriented options utilizing embodied AI and robotics, bringing their experience to varied industries,” stated Franziska Bossart, Head of the Amazon Industrial Innovation Fund. “We on the Industrial Innovation Fund are delighted to assist their workforce, recognizing the potential these applied sciences maintain for Amazon.”

Daniel S. Aegerter, founder and CEO of Armada Funding, added, “Synthetic intelligence mixed with low-cost, high-performance {hardware} will unlock an abundance of productive use circumstances for autonomous robots, heralding a brand new period of financial exercise. The Swiss-Mile workforce are true pioneers on this rising phase, possessing the expertise, ambition, and audacity to construct a category-defining firm. Alongside their extraordinary technical observe document, the workforce is relentless of their pursuit of buyer worth. This tradition will differentiate Swiss-Mile in the long term.”



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