He sold AI robots to Walmart & raised $150M. His #1 advice to founders? "Trust your gut." | Daniel Theobald, Founder of Vecna Robotics
Aug 12, 2024
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Daniel Theobald, founder of Vecna Robotics, has been building robots for over two decades and has sold hundreds to giants like Walmart and FedEx. He shares groundbreaking insights on why robots don't need to be perfect, advocating for designs that accept human assistance for edge cases. The discussion covers his journey of raising $40M, navigating challenges in robotics, and the importance of trusting your gut as a founder. He also emphasizes the evolving relationship between AI and human workers, shedding light on the future of automation.
Trust your instincts as a founder to avoid being swayed by external opinions and maintain your original beliefs.
Creating an accurate market model through hands-on experience helps entrepreneurs make informed decisions and predict future outcomes effectively.
Deep dives
Trusting Your Gut as an Entrepreneur
Trusting your instincts is crucial for entrepreneurs, as relying too much on external influences can lead to misguided decisions. Many entrepreneurs make the mistake of being swayed by less passionate individuals, ultimately departing from their original beliefs. Maintaining an accurate mental model of the market is essential for predicting future outcomes and effectively navigating challenges. These insights highlight the importance of self-confidence and the ability to critically assess information to make informed business choices.
Developing an Accurate Mental Model
Creating a precise model of the world involves engaging with the market, understanding technologies, and actively participating in all aspects of the business. Entrepreneurs must immerse themselves in their industry by conversing with customers, experimenting with products, and continuously refining their knowledge. This comprehensive involvement leads to more accurate predictions about potential business scenarios, fostering better decision-making. The holistic understanding gained through hands-on experience can often empower entrepreneurs to differentiate between viable concepts and challenging realities.
Evolving Robotics through Real-World Insights
Robotic technology faces significant hurdles because of the unpredictable nature of the real world and the limitations of human-like decision-making. Effective robotics solutions must accept that robots will never be perfect, necessitating systems for them to request assistance when encountering challenges. A notable example is an automated forklift that, while searching for a pallet, can recognize when it's not making progress and call for human help to evaluate the issue. This proactive communication allows for continuous operation and efficiency even amidst real-world complexity.
Adapting to Robotics in Operations
The introduction of robotics into operations requires a mindset shift in organizations familiar with traditional equipment investments. The transition from conventional purchasing to a robot-as-a-service model is becoming more appealing, as companies realize the long-term value and efficiency these machines provide. Early adopters, such as FedEx, have recognized the potential of robotics to enhance productivity, but companies often face initial reluctance due to ingrained purchasing habits. Nevertheless, the continuous improvement and learning capabilities of robotic systems promise enhanced and sustainable value to clients over time.
Daniel's been building robots for 20 years. He's sold 100s of AI robots-as-a-service to Walmart, FedEx, & DHL amongst others. Last month, he raised a $40M round.
6 years ago, he realized why robots weren't getting massively adopted. Builders like him were trying to build perfect robots that always worked. But every situation has edge cases. What if you designed robots to work only 80% of the time and use humans for the other 20%?
That one unique insight changed everything and was the reason he started Vecna. His robots can tell when they need help and ask humans to assist in real-time.
Like most capital-intensive startups, Daniel played on hard-mode. Here's how he built hardware, robotics and AI, sold enterprise contracts, and grew to $10s of millions in revenue.
Takeaways
Why as a founder you need to trust your gut and stick to your convictions.
How to be objective and create an accurate model of the world to predict the future and make informed decisions.
How to bootstrap even a capital intensive company in robotics
(00:00:00) Intro (00:02:05) The Beginning of Early Robotics (00:06:00) Edge Cases in Robotics (00:08:15) Robots Shouldn't be Perfect and AI Isn't Intelligent (00:14:05) Technology Empowers Humans (00:18:19) When Robots Need Help (00:21:29) The First Pilot and Customers (00:29:49) Covid Slowed Everything (00:33:52) Finding Product Market Fit (00:34:45)One Piece of Advice