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I built an interactive Robotics Supply Chain dashboard covering the entire robotics ecosystem. Featuring 162 companies (104 public, 58 private) across 8 layers. If you're researching robotics, there's a good chance you'll discover companies you've never looked at before.

75,052 Aufrufe • vor 1 Monat •via X (Twitter)

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🚨 BREAKING: Indian robotics company Unbox Robotics raises $28M Series B! Unbox Robotics just closed a $28 million Series B led by ICICI Venture and Redstart Labs (Infoedge), with participation from F-Prime, 3one4 Capital, Navam Capital, Force Ventures LLP, and other existing investors. The Pune-based company builds modular robotic systems for warehouse and logistics operations. Their platform combines proprietary swarm-intelligence software with modular 3D robotic sortation hardware, allowing large fleets of robots to coordinate dynamically and scale throughput with minimal fixed infrastructure. The funding will be used to strengthen leadership and engineering teams, accelerate new product development, and expand market presence across India and select international markets. The company also created meaningful liquidity for employees through its ESOP program as part of the transaction. Unbox Robotics has built a growing customer base across Europe, the United States, and India, supporting global e-commerce, retail, and third-party logistics operators. The supply chain robotics market is heating up. With labor shortages, rising fulfillment costs, and demand for faster delivery, companies like Unbox that can deploy modular, software-driven robotic systems are in the right place at the right time. P.S. India producing robotics companies that compete globally in warehouse automation is a sign of how the robotics ecosystem is maturing beyond just the U.S., Europe, and China. 🇮🇳 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

87,907 Aufrufe • vor 6 Monaten

I spoke with Andrew Kang, Co-Founder and CEO of RoboStrategy. RoboStrategy already holds concentrated positions in industry-defining companies including Figure, Apptronik, Standard Bots, and Dyna Robotics. It is the first publicly listed vehicle purpose-built to give investors liquid exposure to private robotics and physical AI giants, applying the MicroStrategy capital-markets playbook to automation. The first episode of the third season! Full interview now live: Ep 101 | Investing $19M in Humanoids with Zero Robotics Experience 📽️ YouTube: 🎧 Spotify: And thanks for making this happen, intern & Humanoid Scott, Jack 🤖! Timestamps 0:00 Why we built a public fund for private robotics 0:35 Building the MicroStrategy for robotics 1:22 Escaping the tiger parent trap 2:11 Video games are elite training for game theory and critical thinking 6:30 Learning arbitrage in RuneScape and Neopets 7:59 Don't believe experts just because of their titles 10:24 Why investing is just a video game with real money 12:40 Harvard nutrition professors don't know what they're talking about 18:48 Recreating global finance from first principles 19:57 Why robotics is the early days of crypto all over again 21:50 Realizing humanoids are no longer sci-fi 22:58 Why I wrote a $19M check when every VC told me not to 27:24 How SPVs are democratizing venture investing 30:55 Bet on the founder and their execution speed, not the pitch deck 36:39 The math behind a $50 trillion physical labor market 41:44 Applying the MicroStrategy playbook to private markets 45:48 Humanoids are the GPUs of physical labor 47:48 Building a new SoftBank for the robotics era 50:51 Why robotics startups need engineers for attention 54:35 Don't be satisfied with surface level answers

Ilir Aliu

16,683 Aufrufe • vor 27 Tagen

🦔Workers in India are wearing head-mounted cameras for 12 cents an hour to collect training data for humanoid robots. The footage of them doing everyday tasks like cooking, cleaning, sorting, and walking through public spaces gets sold to robotics companies building the models meant to replace those same kinds of jobs in higher-wage countries. The arrangement has been running for roughly two years. Workers do not own the data, do not get residuals, and in many cases are not told what their footage is being used to train. My Take The workers wearing the cameras live in a country where robotics automation will hit decades later, so they are training their own future replacements at a delay that hides the consequence from them personally. The companies buying the data are mostly US and Chinese, building humanoid robots aimed at warehouses, retail, and service jobs in countries paying $15 to $25 an hour rather than 12 cents. Robotics companies need motion data that mimics how humans actually move through real environments, and synthetic data has not been good enough yet. Paying 12 cents an hour in Bengaluru is cheaper than running motion capture studios in Boston, and it works at scale because the worker absorbs the cost of the camera, the discomfort of wearing it, and the long-term loss of any rights to their own movement data. The robotics labor market that eventually emerges from this footage will displace far more wages than the data collection cost to gather. That is the trade investors funding humanoid robotics startups are betting will pay off, and the workers in the videos are the ones paying the tab up front. Hedgie🤗

Hedgie

161,950 Aufrufe • vor 2 Monaten

🦾🔥 2026 will be the year of robotics. And you should start a robotic company right now! Let me explain you why and show you the opportunities in the video – but here is an outline: We're in an Will Smith spaghetti moment. Remember how AI-generated video looked horrific two years ago? That's where robotics is right now. Computer vision is solved. VLAs (vision language action models) are starting to work. The reliability problem is being cracked as we speak. And unlike software, where you're competing against 15,000 marketing AI startups, humanoids has maybe 200 companies worldwide. Warehousing, the most crowded robotics vertical, has 700. Plus what are you going to do? Build a SaaS that claude can one-shot? The macro tailwinds are also obvious: Dark factories. Self-driving everything. Drones dominating warfare. China pushing automation hard. The West needing to reindustrialize with an aging workforce. But the real unlock is that small teams can now move incredibly fast. In the video we show robots built by one person, that is a year later already shown at CES, and raised couple million euros. Components costs are also dropping. Plus production suppliers actually want to work with startups now. In the video we are also going into opportunities. One mental model is simple: robotics is the next SaaS. Look at any industry, find one specific task, and build a robot that can do it better, faster, or around the clock. But we go through multiple mental models more in the video I uploaded the full video right here on X. But if you got a second, i'd appreciate a share, like, subscribe on youtube (link below!) ⬇️

Andreas Klinger 🦾

64,853 Aufrufe • vor 6 Monaten

My conversation with Sergey Levine (Sergey Levine). Sergey is the co-founder of Physical Intelligence -- a company building foundation models that can control any robot to do any task in any environment. The company's thesis is that generality is more scalable than specialization, meaning that a model trained across many different robots and tasks will ultimately outperform any system built to do one thing well (eg, just wash dishes). Sergey is a researcher by background, but I think you will appreciate how practical and commercially grounded this conversation is. We discuss: - Why changing a diaper will be the last task a robot masters - The simulation v. real-world data debate - How multimodal LLMs give robots common sense - Moravec's Paradox + Robot Olympics - Why robots can do long-horizon tasks now - A realistic timeline for robots in our homes I should note that I am an investor in Physical Intelligence -- I made the investment because I believe it is one of the most important companies tackling the problem of robotics. Enjoy! Timestamps: 0:00 Intro 2:39 Defining Physical Intelligence 5:19 The Challenge of Building General Models 6:34 The Stakes and Future of General Purpose Robotics 8:15 Pros and Cons of Humanoid Robots 10:12 Historical Milestones in Robotics Research 15:31 Combining Generative AI and Deep RL 21:24 Moravec's Paradox 25:33 Kitchen Robots 29:30 Simulation vs. Real-World Data 30:48 The Robot Olympics 36:31 The Physiological Reality of Embodiment 38:56 Controversies in the Robotics Community 44:18 What Makes a Great Researcher 48:27 How Businesses Should Prepare for Robotics 54:09 Tracking Progress Through Research Papers 57:02 The Next Step: Mid-Level Reasoning 1:02:00 The Kindest Thing

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133,833 Aufrufe • vor 4 Monaten