Swiss-Mile funding news – Zurich-based Swiss-Mile Raises $22 Million in Seed Funding

This round also includes participation from the Amazon Industrial Innovation Fund and Armada Investment, with continued support from the existing investor Linear Capital. This distinguished investor consortium is proudly welcomed to join the journey in delivering embodied AI, poised to transform and improve millions of lives.

Incorporated in April 2023, Swiss-Mile aims to relieve humanity from strenuous and tedious tasks by connecting AI with the physical world, creating truly autonomous robots. The company joins forces with world-class talent in embodied AI and robotics, tackling the most challenging aspects of mobility, autonomy, and manipulation.

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In the first year, they achieved early successes with pilot deployments among key customers, including last-mile delivery in smart cities and security for critical infrastructure. These customers witnessed the AI-driven autonomy of the first-of-its-kind wheeled-legged robots, powered by neural networks.

Caroline Fu, partner of HongShan said, “Swiss-Mile, utilizing their cutting-edge algorithms and the deep research expertise in comprehensive solutions, has developed a product that stands out in this industry,” “We are thrilled to observe the technological advancements the company has achieved, and are confident it will play a leading role in transforming the embodied intelligence industry.” HongShan invested through its USD funds, which comprises all international LPs.

Swiss-Mile, a spin-off of the Robotic Systems Lab at ETH Zurich, has been at the forefront of integrating artificial neural networks into robots with legs and wheels. The founders have enabled quadrupedal robots to walk, drive, stand upright on two legs and manipulate packages with wheeled end effectors.

These capabilities highlight the versatility of the approach, adeptly addressing the real-world challenges of both mobility and manipulation. Integrating these features, mobile robots are set to drive the next wave of automation, advancing beyond the era of static robotic arms.

Their embodied AI garnered significant media and industry attention, culminating in a showcase at the GTC 2022 keynote with NVIDIA CEO Jensen Huang. Beyond scientific contributions, the founders demonstrated real-world robotics applications by being part of the winning team of the DARPA Subterranean Challenge, which the Washington Post has called “The Super Bowl of Robotics.”

Harry Wang, founder and CEO of Linear Capital said, “Swiss-Mile stands out as one of the leading embodied AI companies globally, founded by pioneers who initiated this trend, What excites me most about Swiss-Mile is their international and customer-centric mindset from the very beginning. They will be able to leverage their global resources to make Swiss-Mile a leading power in the next wave of physical AI revolution.”

Franziska Bossart, Head of the Amazon Industrial Innovation Fund said, “The Swiss-Mile team is building innovative real world-oriented solutions utilizing embodied AI and robotics, bringing their expertise to various industries, We at the Industrial Innovation Fund are delighted to support their team, recognizing the potential these technologies hold for Amazon.”

Additionally, Daniel S. Aegerter, founder and CEO of Armada Investment, shares his perspective on the company: “Artificial intelligence combined with low-cost, high-performance hardware will unlock an abundance of productive use-cases for autonomous robots, heralding a new era of economic activity. We are excited by what is now possible. The Swiss-Mile team are true pioneers in this emerging segment, possessing the talent, ambition, and audacity to build a category-defining company. Alongside their extraordinary technical track record, the team are relentless in their pursuit of customer value. This culture will differentiate Swiss-Mile in the long run.”

About Swiss-Mile

Swiss-Mile, a deep tech spin-off from ETH Zurich, collects insights and eases labor by connecting AI with the physical world using autonomous machines. Mobile robots have vast potential, but many lack the ability to effectively navigate obstacles, move over large distances, and carry significant loads. Moreover, their reasoning capabilities often limit widespread adoption.