Saturday, January 4, 2025

The Hottest Embodied AI Startups in Silicon Valley in 2024(1)

 Figure AI

Figure AI is an American artificial intelligence robot company founded in 2022, dedicated to developing general-purpose humanoid robots. The company's core products are two humanoid robots, Figure 01 and Figure 02. Figure 01 is 1.6 meters tall, weighs 60 kilograms, has a load capacity of 20 kilograms, and can work for 5 hours on a single charge.

Figure 02 is the company's newly released robot, known as "the most advanced humanoid robot on Earth," with higher flexibility and degrees of freedom.

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F02

Figure AI's core technical capabilities are reflected in its robots' ability to learn independently and perform complex tasks. The company's robots can learn to perform complex tasks, such as making coffee, by observing human demonstration videos and then undergoing 10 hours of end-to-end training.

In addition, Figure AI is also collaborating with OpenAI to develop the next-generation humanoid robot AI model, with a focus on natural language communication to enhance the robots' ability to process and reason with language. The company also utilizes Microsoft Azure cloud services for AI infrastructure, training, and storage.

In terms of financing, Figure AI completed a $675 million Series B financing in February 2024, and the company's valuation reached $2.6 billion. The investors in this round of financing include tech giants and well-known investment institutions such as Nvidia, OpenAI, Microsoft, Intel, and Amazon founder Jeff Bezos. Previously, Figure AI completed a $70 million financing in May 2023 and received a $9 million investment from Intel two months later.

Figure AI's commercialization process is also steadily advancing. The company has reached a cooperation agreement with BMW and plans to introduce Figure 01 into BMW's manufacturing plants. Figure AI's goal is to solve the labor shortage problem by deploying these humanoid robots, especially in industries such as manufacturing, logistics, warehousing, and retail. The company emphasizes that its robots are only used for peaceful and constructiv

Skild AI's core product is a foundation model called Skild Brain, which is a scalable robot foundation model that can be installed on various robots, enabling them to perform basic actions such as climbing stairs, avoiding obstacles, and picking up items. This model, through large-scale data training and a Transformer-based adaptive architecture, aims to become a universal "brain" for various types of robots and real-world application scenarios.
Skild AI claims that the amount of data used to train its model is "more than a thousand times that of competitor models," which enables its robots to interact with humans more flexibly and safely and even perform simple tasks that have not been specifically trained.
In terms of technical capabilities, Skild AI's model exhibits strong generalization and "emergent capabilities." For example, its robots can quickly learn and adapt to new environments and complete complex balance problems, such as climbing stairs. Founder Pathak developed a "curiosity-driven learning" method as early as during his Ph.D. studies at the University of California, Berkeley, which motivates AI to explore more scenarios and collect more data, ultimately translating into actions.
In terms of financing, Skild AI announced in July 2024 that it had completed a total of $300 million in Series A financing, with a post-investment valuation as high as $1.5 billion. This round of financing was led by Lightspeed Ventures, Softbank, Coatue, and Amazon founder Jeff Bezos, and the participating institutions also included CRV, Felicis Ventures, Menlo Ventures, Sequoia Capital, General Catalyst, SV Angel, and Carnegie Mellon University.
Skild AI has broad commercial prospects, and its technology is expected to provide solutions for industries such as healthcare, construction, warehousing, and manufacturing, helping to alleviate labor shortages and improve work efficiency. The company's business model is similar to that of OpenAI, and it plans to sell access to its robot AI brain to help customers customize their robots according to different application requirements.
The Bot Company
The Bot Company is an American artificial intelligence robot company founded in 2024 by former Cruise CEO Kyle Vogt, former Tesla AI technical director Paril Jain, and former Cruise software engineer Luke Holoubek. The company is headquartered in San Francisco and is dedicated to developing robots for home use, aiming to save people's time by automating household chores.
In terms of products and services, The Bot Company is developing household robots that can perform chores such as cleaning and laundry. Although the company has not yet publicly announced specific product lines, it is reported that they are exploring humanoid robots as well as other forms of robots. The company plans to sell these robots directly to consumers and allow users to customize the functions and features of the robots through a chat server similar to Discord.
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The Bot Company's core technical capabilities stem from the rich experience of its founding team in the fields of autonomous driving and artificial intelligence. Vogt's experience at Cruise provides a valuable technical foundation for developing independent robots, and Jain's AI experience at Tesla, especially his work in the deployment of fully autonomous driving software, is expected to provide unique advantages for the company in developing advanced household robots.
The company announced in May 2024 that it had completed a $150 million seed round financing, with a post-investment valuation reaching $550 million. The investors in this round of financing include well-known investors and entrepreneurs such as Spark Capital, former GitHub CEO Nat Friedman, Pioneer founder Daniel Gross, and Stripe CEO Patrick Collison.
Nimble Robotics
Nimble Robotics is an artificial intelligence robot company founded in 2017, headquartered in San Francisco, USA. The company focuses on developing automated technologies for e-commerce fulfillment and is committed to fully automating the order picking and packaging processes through robotics technology.
Nimble's mission is to provide e-commerce retailers with fast, cost-effective, and sustainable order fulfillment solutions, and its technology has been applied in multiple industries, including clothing, beauty, electronics, consumer goods, and pharmaceuticals.
In terms of products and services, Nimble has developed a universal intelligent warehouse robot that can perform core tasks such as storage, picking, packing, and sorting. These robots rely on advanced AI technology and deep imitation learning algorithms and can handle millions of different products and select the best gripping method based on the size, shape, weight, and material of the items.
In addition, Nimble has also launched a Cloud Logistics Platform, which integrates functions such as a warehouse management system (WMS), an order management system (OMS), and a transportation management system (TMS), providing customers with end-to-end fulfillment solutions. This platform not only optimizes logistics operations but also provides real-time supply chain visualization and control capabilities.

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