Investing in Robotics

A Brief History of Robotics Startups

Robotics startups have long promised to revolutionize industries by automating tasks with unparalleled precision and efficiency. However, the commercial outcomes for these companies have often been underwhelming, with more failures than successes.

Over the last two decades, notable exceptions like Kiva Systems, which Amazon acquired in 2012, are among the few bright spots in a challenging landscape. However, even these successes pale in comparison to the massive returns seen in other tech sectors like software and digital platforms.

Common Challenges in Robotics Startups:

  1. Difficult Economics: The research and development (R&D) and deployment costs for robotics often surpass the cost of human labor, particularly for routine tasks. This cost disparity makes it challenging for robotics solutions to compete economically.

  2. Margin Compression: The market for robotics solutions, especially for common tasks like pick-and-place operations, has become crowded. As a result, many robotics companies have faced margin compression due to the commodification of their products.

  3. Technical Challenges: Robotics involves significant technical hurdles. Robots need to perform tasks with near-perfect accuracy, as errors in the physical world can have serious consequences. Unlike software, where an 80% correct solution may be acceptable, robotics demands near 100% reliability.

  4. Limited Cash Runways: Many robotics startups struggle to launch a viable product before their financial resources run out. The iterative cycles required to perfect a product are often too long and costly, leading to premature shutdowns.

  5. Go-to-Market and Integration Difficulties: Even when a robotics startup develops a functional product, it often faces significant challenges in bringing that product to market and integrating it into existing workflows and systems.

  6. Market Size and Problem Scope: Robotics companies often face a dilemma between focusing on small, solvable problem spaces and targeting larger markets. The constrained problem spaces may be too niche to generate significant revenue, while larger markets often present insurmountable technical challenges.

The robotics industry has shown that while the potential for innovation is immense, the path to commercial success is fraught with obstacles. Investors and founders in this space carry the scars of past challenges, making them cautious yet hopeful as they navigate the complexities of bringing robotics solutions to market.

Here are some notable private, venture capital-funded robotics startups, along with brief profiles on their product development, funding, and opportunities:

1. Boston Dynamics

Product Development: Boston Dynamics is known for its advanced robotics, including the agile robot Spot, the humanoid robot Atlas, and the logistics robot Stretch. Their robots are designed for a variety of tasks, from inspection and data collection to warehouse automation. Funding: Boston Dynamics was initially a spin-off from MIT and received significant funding from SoftBank before being acquired by Hyundai. As of its latest reports, the company has raised over $100 million in venture funding. Opportunities: The company’s robots have been adopted in industries like construction, logistics, and public safety. Their cutting-edge technology positions them to lead in the robotics market as automation becomes more prevalent across various sectors.

2. Canvas Technology

Product Development: Canvas Technology developed an autonomous warehouse cart designed to navigate dynamically in real-time through complex environments. Their core technology includes advanced computer vision and AI-based navigation systems. Funding: Canvas Technology was venture-funded with investments from firms like Playground Global before being acquired by Amazon in 2019. The funding rounds were instrumental in advancing their robotics and AI capabilities. Opportunities: With Amazon’s backing, the Canvas Technology team’s innovations are expected to scale across Amazon's vast network of warehouses, significantly improving efficiency and accuracy in inventory management.

3. Nuro

Product Development: Nuro is focused on autonomous delivery vehicles designed for local goods transportation. Their small, electric autonomous vehicles are tailored for last-mile delivery, emphasizing safety and efficiency in urban environments. Funding: Nuro has raised over $2.1 billion from top investors, including SoftBank, Greylock Partners, and T. Rowe Price. This substantial funding reflects confidence in their vision and potential market impact. Opportunities: The rise of e-commerce and demand for contactless delivery presents significant opportunities for Nuro. Their technology is well-positioned to disrupt the last-mile delivery market, especially as cities become more congested and consumer expectations for quick, reliable delivery rise.

4. Vicarious

Product Development: Vicarious is developing AI-powered robotic systems capable of performing complex tasks typically handled by humans, such as sorting and packaging. Their technology leverages machine learning and computational neuroscience to mimic human brain functions. Funding: The startup has raised around $122 million from investors like Samsung, Jeff Bezos, Elon Musk, and Peter Thiel’s Founders Fund, which underscores its strong backing in the venture capital community. Opportunities: Vicarious's technology has the potential to revolutionize manufacturing and logistics by automating processes that require a high degree of cognitive ability. As AI continues to advance, Vicarious could be a key player in the next generation of intelligent robotics.

5. Rethink Robotics

Product Development: Rethink Robotics was known for its collaborative robots (cobots) like Baxter and Sawyer, designed to work alongside humans in manufacturing environments. These robots were characterized by their ease of use and ability to learn tasks through demonstration. Funding: Before ceasing operations in 2018, Rethink Robotics had raised about $150 million in venture funding from investors such as CRV, Highland Capital Partners, and Sigma Partners. Opportunities: Although Rethink Robotics shut down, the intellectual property and technology were acquired by the German automation company Hahn Group. This acquisition offers the possibility of Rethink's innovative technology being integrated into new product lines and continuing to influence the collaborative robotics market.

6. Covariant

Product Development: Covariant is focused on developing AI-driven robotic systems for the logistics and warehouse sectors. Their primary product is a robotic arm that uses AI to autonomously pick, sort, and pack a variety of items, learning and adapting in real-time. Funding: Covariant has raised $147 million in funding, with investments from top-tier firms like Index Ventures, Amplify Partners, and Radical Ventures. The capital is being used to scale their operations and enhance their AI capabilities. Opportunities: The logistics and e-commerce boom, coupled with labor shortages, presents a significant opportunity for Covariant. Their AI-powered robots can help warehouses and fulfillment centers increase throughput and reduce operational costs, making them an attractive solution for large-scale logistics operations.

These startups represent the forefront of innovation in robotics, each with unique products that address specific market needs. Their venture capital backing is a testament to the potential investors see in their technologies to reshape industries ranging from logistics to manufacturing.

Figure AI LinkedIn post from Aug 29, 2024

7. Figure.ai

Figure AI, a robotics startup focused on developing general-purpose humanoid robots, has experienced rapid growth since its founding in 2022. The company was founded by Brett Adcock, a serial entrepreneur with a background in aviation and robotics, and has quickly become a significant player in the robotics industry.

Funding History:

  1. Series A (April 2023): Figure AI raised $70 million in its Series A funding round. This initial capital was instrumental in developing their humanoid robot prototype, Figure 01. The funding came as the company emerged from stealth mode in January 2023.

  2. Venture Round (July 2023): Shortly after their Series A, Figure secured an additional $9 million in a venture round. This funding round included investors like Big Sky Partners and Intel Capital. It supported further development and refinement of their robotics technology.

  3. Series B (February 2024): The most substantial funding round for Figure AI came in February 2024, when the company raised $675 million at a $2.6 billion valuation. This Series B round attracted major investors such as Microsoft, the OpenAI Startup Fund, NVIDIA, Jeff Bezos (through Bezos Expeditions), Parkway Venture Capital, and ARK Invest. The funds are earmarked for accelerating the commercialization of their humanoid robots and expanding their capabilities.

Strategic Partnerships:

  • OpenAI Collaboration (2024): Alongside its Series B funding, Figure AI entered into a strategic partnership with OpenAI to develop advanced AI models for its robots. This collaboration aims to integrate OpenAI's language processing capabilities with Figure's robotics hardware, enhancing the robots' ability to process and act on complex instructions.

Key Milestones:

  • First Prototype (May 2023): The company’s humanoid robot, Figure 01, took its first steps, marking a significant milestone in the startup's journey.

  • Commercial Deployment (January 2024): Figure AI announced its first commercial deployment with BMW, where its humanoid robots are being tested in an automotive plant.

In less than two years, Figure AI has raised a total of $754 million and positioned itself as a leader in the field of humanoid robotics, aiming to address labor shortages and transform industries through automation.

Other Corporate Robotics possible investments

Here’s a list of notable robotics efforts by AI and technology companies, including Tesla, NVIDIA, Hugging Face, and others:

1. Tesla

  • Tesla Bot (Optimus): Tesla has announced its development of a humanoid robot called Optimus. It is designed to perform tasks that are unsafe, repetitive, or boring for humans. Elon Musk has indicated that Tesla Bot will leverage Tesla’s advancements in AI and autonomous driving technologies to navigate and interact with the environment.

  • Autopilot and Full Self-Driving (FSD): Although primarily an autonomous vehicle initiative, Tesla’s work on AI for self-driving cars involves sophisticated robotics and computer vision technologies.

2. NVIDIA

  • Isaac Platform: NVIDIA’s Isaac platform is a comprehensive toolkit for developing, training, and deploying AI-powered robots. It includes Isaac Sim (a simulation environment), Isaac SDK (software development kit), and Jetson edge AI modules. Isaac is aimed at enabling the next generation of autonomous machines.

  • Jetson AI Modules: NVIDIA’s Jetson line of AI modules are widely used in robotics for edge computing, offering high-performance computing capabilities for autonomous robots, drones, and other intelligent machines.

3. Hugging Face

  • Transformers in Robotics: Hugging Face’s focus on natural language processing (NLP) extends into robotics, particularly in integrating language models with robotics systems. Their transformers models can be applied to human-robot interaction, enabling robots to understand and generate human language in natural and meaningful ways.

  • Collaboration with Robotics Companies: Hugging Face collaborates with various robotics companies to integrate NLP capabilities into robots, helping them understand and interact with humans more effectively.

4. Google DeepMind

  • AlphaFold: Though not a traditional robotics project, AlphaFold by DeepMind revolutionizes protein folding predictions, which can indirectly impact biotechnological robotics in fields like synthetic biology.

  • Learning-Based Robotics: DeepMind is involved in research on using reinforcement learning and other AI techniques to enable robots to learn tasks by trial and error, leading to more adaptable and intelligent robots.

5. Amazon

  • Amazon Robotics (Kiva Systems): Acquired by Amazon, Kiva Systems forms the backbone of Amazon’s warehouse automation with robots that handle picking, packing, and sorting of goods.

  • Astro: Amazon has developed a home robot called Astro, designed for security, monitoring, and home assistance, utilizing AI for navigation and interaction.

6. Boston Dynamics

  • Atlas: Boston Dynamics' humanoid robot Atlas is a leading example of robotics innovation. Atlas can perform complex tasks such as parkour, jumping, and handling objects with high dexterity.

  • Spot: Spot is a quadruped robot designed for industrial inspections, remote operations, and data collection in hazardous environments.

7. OpenAI

  • Robotics Research: OpenAI has conducted research into robotics, focusing on using AI for dexterous manipulation, such as training a robotic hand to solve a Rubik's cube using reinforcement learning. They also work on the application of large language models in robotics for improving human-robot interaction.

8. Microsoft

  • Azure for Robotics: Microsoft provides cloud services like Azure for Robotics, which offers AI, machine learning, and IoT tools to build and scale autonomous systems.

  • Project Bonsai: This is an AI platform designed to help build intelligent industrial control systems, including robotics. It allows the creation of sophisticated AI models that can be applied to various robotics use cases.

9. Facebook (Meta)

  • Facebook AI Research (FAIR) Robotics: Meta has invested in robotics research, particularly focusing on how robots can learn from their environment using AI. They have projects on self-learning robots that can adapt to new tasks with minimal human intervention.

  • Embodied AI: Meta is working on embodied AI that enables virtual and robotic agents to understand and interact with the physical world similarly to humans.

10. Apple

  • Robotics for Product Recycling: Apple uses advanced robotics in its recycling program, with robots like Daisy and Dave designed to disassemble iPhones and other products to recover valuable materials efficiently.

11. Samsung

  • Samsung Bot Series: Samsung has developed a series of robots including Bot Care (a personal assistant robot), Bot Handy (a robotic arm for household chores), and Bot Retail (designed for customer service applications in stores).

These companies are at the forefront of integrating AI with robotics, pushing the boundaries of what robots can do in various domains, from manufacturing and logistics to healthcare and personal assistance.

What is IPO CLUB

We are a club of Investors with a barbell strategy: very early and late-stage investments. We leverage our experience to select investments in the world’s most promising companies.

 

Disclaimer

Private companies carry inherent risks and may not be suitable for all investors. The information provided in this article is for informational purposes only and should not be construed as investment advice. Always conduct thorough research and seek professional financial guidance before making investment decisions.

Previous
Previous

Powering the AI Revolution

Next
Next

VC Investment in AI