Heather Gorham

Robotics and AI will touch all aspects of life and society. This one “could” be a path in reducing or eliminating the herbicides used on crops. On the technical side, from the article, this is astounding. Who would have thought even 10 years ago GPUs would be utilized in this manner. “Powered by 24 NVIDIA GPUs, Carbon Robotics’ vehicles use deep-learning-based computer vision models to autonomously identify and eliminate weeds via CO2 lasers. LaserWeeder, as the product is called, processes 4.7 million high-resolution images per hour, zapping 5,000 weeds per minute, according to the company. To date, its dataset includes 25 million labeled plants and more than 30,000 crop and weed models” #AI #agritech #robotics #nvidia

3

1 Comment

New Tesla Patent Reveals Clues to an Exciting Future of Humanoid Robots and AI Integration In a interesting discussion, Herbert Ong and Scott Walter dive deep into Tesla's recently published patent application WO2024072984A1 (link in comments). Entitled "Actuator and actuator design methodology," the patent primarily focuses on controlling robot movement through strategic actuator placement. However, the document also unveils important clues about the potential for end-to-end neural net training of humanoid robots, reminiscent of Tesla's approach to training its vehicles with FSD. Ong and Walter explore the concept of personalized humanoid skills. Imagine purchasing a bot with built-in capabilities, then having the option to augment and customize those skills through a "Skills Store" akin to Apple's App Store. This opens up a world of possibilities for tailoring robots to specific tasks and preferences. The discussion also touches on the potential for various robot form factors, each designed to excel at particular skills. Picture a tennis-playing robot that comes pre-trained with basic volleying instructions, but requires a "Skills Upgrade" to perform at a master level. This raises questions about the need to manufacture and train a diverse range of robot body types and sizes, mirroring how humans possess ideal physiological characteristics for different activities. Later, Ong and Walter discuss a scenario in which Tesla builds the hardware – including automobiles, humanoids, and other bot form factors – while xAI develops the brains. This arrangement opens up opportunities for licensing agreements between the two companies, that may help the companies navigate future antitrust concerns as these technologies are deployed at scale. The convergence of advanced robotics and artificial intelligence holds the potential to catalyze a profound societal transformation. As Tesla and xAI continue to push the boundaries of what's possible, I can envision a future where intelligent, adaptable robots become integral to various aspects of our lives – from manufacturing and transportation to healthcare, recreation, and beyond. The seamless integration of cutting-edge hardware and software will revolutionize the way we live and work, ushering in an era of unprecedented efficiency, productivity, and innovation. While there are still challenges to overcome and ethical considerations to address, the prospect of these combined technologies driving positive change on a global scale is awe-inspiring. #FrontierFrontier #Humanoids #AI #Robots

7

1 Comment

On the surface, tech transfer operations (e.g. the process of transferring research and IP into commercialized opportunities) and early-stage startups may seem quite different. But when we at 9point8 Collective dug a little deeper, there was tons of overlap which speaks to the essence of zero-to-one development: 1️⃣ Innovation Focus: both tech transfer and early-stage startups aim to commercialize new technologies or solutions that can address real-world problems or create new opportunities. There is no blueprint to follow. 2️⃣ Intellectual Property: tech transfer ventures usually come with robust IP portfolios, including patents and trade secrets, and early-stage startups often focus on developing and protecting their IP to create a competitive advantage. Leverage IP as an asset is a key part of the strategy. 3️⃣ Market Potential: both tech transfer and early-stage startups target markets with high growth potential. They often aim to disrupt existing industries or create entirely new market segments, so targeting the right markets is essential. 4️⃣ Risk Profile: both types of ventures carry extreme risk and ambiguity due to the uncertainties associated with bringing new technologies or business models to market. With all this overlap, we innovated different versions of our diligence and assessment tool #VentureIQ to focus on tech transfer. Instead of a pitch deck as the raw inputs, we used patent filings instead. We wanted to see if our tech could generate credible insight on how raw technologies can be commercialized. The results have been pretty solid so far. From a single patent filing, we can extract technology readiness levels, target markets, competitors and benchmarks with similar technology, and even sources of public and private funding. From what our design partners have validated for us, these are monumental leaps in the development process -- saving thousands of dollars and weeks of time -- all done with #AI. Know of an interesting #techtransfer use case? Send me a DM so we can chat about it!

11

If you work in tech transfer this is a good read-in on how our diligence tech can assess and evaluate assets with minimal inputs. The best way to learn more is to see it live! Reach out to me directly to learn more!

2

I’m thrilled to be announcing that Notion Capital is leading the $15m Series A investment in Cogna today. In the industry, we like to think that software has been eating the world. But when you look at the data a better description would be more of a nibble. Depending on what source you look at the software industry represents between 5-8% of global GDP. Contrast that with the services industry that represents between 60-70% of GDP and worth around $25 trillion on a global basis. Most services have been out of reach for the software industry. They have either been too complex or too specialized for off the shelf software to access in any economically viable way. But that’s beginnning to change with GenAI leading to the emergence of ‘service as a software.’ Cogna is at the forefront of this opportunity - building precision software at scale and delivering huge productivity gains for traditional industries. We know Ben Peters & Lars Mennen well having backed their previous company Five AI that was acquired by Bosch in 2022. And we’re very excited to be backing them again together with Hoxton Ventures & Chalfen Ventures Read my full blog post on why we invested here. Radu Bozga Ben Peters Lars Mennen Bryan G. Mike Chalfen Hussein Kanji Kirsten Connell https://lnkd.in/eh8mhcJb

201

13 Comments

I spent many weeks researching the story of Robin Zeng and Contemporary Amperex Technology Co., Limited (or CATL) -- the powerful and politically divisive battery maker that commands the largest global market share (and growing) Zeng's story is nothing short of the classic rags to riches narrative we all worship, yet...there are many useful lessons to learn on how/why certain industrial policies succeed via the CATL/Robin Zeng lens These lessons are all the more timely given what is happening to Intel, Stellantis, Northvolt. In my view, CATL could not have existed without China's exclusionary subsidies. Robin Zeng started CATL as a spin out from TDK Corporations, because TDK was Japanese, thus wouldn't qualify for gov't subsidies. Yet, that's not the end of the story. CATL still had to compete with 200+ domestic companies, like BYD etc. Favorable treatment was also removed after a few years, foreign battery companies were invited back into China (LG, Samsung, Panasonic), so CATL had to prove its worth. Yes, it got a leg up initially, but wasn't coddled and protected indefinitely Robin Zeng was also a rare breed...read my story on why. What can we learn from this? Industrial policy works in 3 steps: 1. Subsidize/protect/spur new startups 2. Stop protection, invite competition 3. Hopefully you get a Robin Zeng (or Wang Chuanfu) among your population who is as talented (and paranoid) as Andy Grove to rise above the ashes Agree? Disagree? Either way, I hope you give my telling of the Robin Zeng story a read. It deserves to be told properly. https://lnkd.in/eXXt5mna

26

2 Comments

This is just incredible. Neal Ghosh's demonstration of how #VentureIQ takes deeply technical and complicated content across a range of industrial use cases and ages/stages through an AI-generated conversational podcast (a la #notebookLM) is really mind-blowing. Check out his post, below, and if you haven't seen VentureIQ, yet, let's get you set up to learn more. You can visit VentureIQ.ai or DM any of us over here to book a demo!

2

Octavia Carbon, a 🇰🇪 Kenyan-based #cleantech startup, has raised a $5 million seed round. The company will use the funds to build its Direct Air Capture (DAC) storage plant. 💨 Direct air capture technology removes #carbon dioxide directly from the #atmosphere by drawing #air into a machine, filtering out the carbon dioxide, and storing it safely underground. Excess #CO2 in the atmosphere depletes the earth’s ozone layer, increasing ultraviolet (UV) radiation that can cause skin cancer, cataracts, and plant damage. 🌱 Launched in 2022 by Martin Freimüller and Duncan Kariuki, Octovia Carbon designs, builds, and uses machines to capture CO2 from the atmosphere. Those machines take carbon dioxide and store it underground, keeping it out of the atmosphere. ➡️ More here: https://lnkd.in/ernSDynp

224

8 Comments

🧩 One thing we've noticed with #VentureIQ technology is how well it can distill and communicate complex technical material 🧩 Whether it's a #deeptech venture, a novel #AI application, or even a patent submission, we can quickly distill the business and strategic implications for investors...and sometimes even the founders/PIs themselves! 🤯 Based on our work so far, the tech can handle a wide array of research areas and technological sectors -- anything from blockchain algorithms to vaccine development. It handles the nuance of the field, the specific terminology, and extracts the key concepts which matter for venture-building. 🤓 To demonstrate, I took a patent I helped write with Eric Laber on reinforcement learning. I ran it through #Ventureiq to build a commercial assessment (key differentiators, target markets). Then for fun I had #NotebookLM make a podcast out of it. I've uploaded the result it here (DM me if you'd like the actual report): https://lnkd.in/eiTejsny This is more than just automation or streamlining operations - it's about unlocking clarity and insight when it was previously unattainable, and the ability to do it over and over again no matter the sector or vertical. Interested in more info? DM me so we can chat.

11

2 Comments

We are excited to back Morphing Machines. As Dr. Ranjani, CTO and co-founder says: “For the first time in India and globally, we have a processor that is truly runtime reconfigurable, catering to emerging workloads.” While Nvidia’s growth and high valuation are driven by robust demand for “infra-compute” in high-performance GPUs, spurred by Gen AI, there is a distinct need for innovative solutions tailored to a new wave of reactive applications. Enter Morphing Machines. It addresses this demand with its unique product designed for next-gen telecom, autonomous vehicles, collaborative robots, avionics, and online data analytics. This product is specifically engineered to handle heterogeneous workloads and diverse tasks with varying performance demands simultaneously, ensuring a high level of scalability. As we move from an institutionally-backed research team at IISC to productization, Golden Sparrow is collaborating with Speciale Invest and others to support Deepak Shapeti, who joined as CEO three years ago after earning his Masters at Stanford. He brings not only technical expertise but also the business acumen necessary to guide the product to commercial success. Venkat Raju Afreed Faizan Anand Rao Ritik Singh Michael Marmor

68

5 Comments

🚀 The Power Behind Scaling with Purpose 🚀 On October 10th, during SF TECH WEEK by a16z, we’re hosting a panel discussion at Endurance28 in the Presidio featuring four visionary founders who are leading transformative ventures across biotech, foodtech, and fintech: 🌱 Maricel Saenz, CEO of Minus: A Compound Foods Company creating climate-proof foods through fermentation, like beanless coffee.  🔬 Crystal Nyitray, Ph.D., CEO of Encellin, is revolutionizing therapeutics by transforming cells into molecular factories. 💊 Ritu Lal, Ph.D., M.S. (Management), CEO of GEn1E Lifesciences Inc., is advancing precision therapies for inflammatory and rare diseases with no treatments. 📊 Marla Sofer, CEO of Knomee, is a free financial wellness platform empowering its users to discover their unique Financial Identity™ and take control of their financial future. These inspiring leaders will share their insights on scaling with purpose, building strong cultures, and staying true to their mission. 🔗 Register using the link below #SFTechWeek #Endurance28 #ScalingWithPurpose #Founders #AmbitiousRebels #Networking #Innovation #Entrepreneurship #WomenInLeadership #WomenFounders #Biotech #Foodtech #Fintech

34

1 Comment

Loved bringing together a group of research-centric, product-minded technologists building the future of AI tonight in the 🅱️🍎, incl. product / eng leadership @ NVIDIA, Pinecone, Datadog; founding eng @ Abnormal Security, Modal, Counsel Health; applied AI @ OpenAI, Anthropic; research eng @ Meta (FAIR), Harvey, Google DeepMind; founders @ Sapien and some of NYC's greatest stealth AI co's ☄ We covered a lot of ground over 4 hours - some of the recurring themes in our conversations: - Agents:🕴Model inference is getting so much faster, which will unlock AI agents' potential. That said, agents should be trained to handle very narrow tasks, reliably, first vs. an open-ended approach many startups are attempting today - Robotics: 🤖 While the science is not there yet, the robotics market and its impact will be much bigger than LLM. The introduction of humanoids will fundamentally change how we live. That said, the U.S. is in a vulnerable position due to lack of supply chain independence, compared to rivals like China - Value creation: ✨ AI personalization is overrated as consumers mostly care about status (i.e., ‘whatever is the best’) vs. what's tailored to them. Delivering great UX is still hugely undervalued, for both enterprise and consumer use cases. Cost and reliability remain enterprise buyers' front-and-center priorities. AI can preserve endangered rare languages by documenting and creating digital archives / databases cc: our amazing sponsor Arc (Brendan Bettencourt, Erika Bricky, Eric Lo), Visible Ventures

136

5 Comments

WAYMO -- WAYCOOL or GHOST RIDER? If you preside in San Francisco, Santa Monica or Phoenix you are now seeing driverless Waymo taxies making their way through town on an ever-increasing basis. The network is expanding, and I can honestly say that in the Santa Monica / West Los Angeles area I have not driven anywhere in the last two months without seeing one of them on the road every time. In fact, sometimes they are so prevalent that there might be three in a row waiting at a stop light. It still is kind of spooky seeing cars moving around with no driver, or anyone for that matter, in the front seat. It's not exactly the same as the Headless Horseman but it does conjure up that image in my imagination. I have not taken a ride in one, but several family members have and report their satisfaction. Waymo is a division of Alphabet (GOOGL). I have not seen any visible evidence of General Motors (GM) Cruise vehicles which I understand are still being road tested, while Tesla (TSLA) has been projecting their autonomous vehicle vision for some time. For now, Tesla seems to be behind but that could change quickly. GM is likely to use their own branded vehicles, and it would seem that Tesla will likely do the same. However, Waymo technology could be outfitted on any cars. That seems like a big advantage, staying out of the car business and just being like the "Intel/Microsoft" inside personal computers which is a much higher margin business. There has been a lot of noise in the business journals and chat rooms about a Waymo initial public offering but nothing from Alphabet itself. They recently concluded a $5.6 billion investment round; see TechCrunch post below. The autonomous race is on, and it will be expanding rapidly from here on out. I just wonder if we will ever see an autonomous police vehicle stop a wayward autonomous taxi and write it up for some violation as yet unknown. Will traffic school be an option? #waymo, #autonomousvehicles, #selfdrivingcars, #GM, #Generalmotors, #tesla, #Investing, #business,

3

1 Comment

👀 Looking at our recent investments at Draper Associates, here’s what standout founders nailed, making our decision to invest much easier (and faster): 💥 Visionary Tech with a Bold Vision – These founders are not here for incremental wins; they’re reimagining what’s possible in across tech - biotech, robotics, aerospace, and beyond. Their vision is big and audacious, tackling complex problems that demand breakthrough solutions, others have not been willing to try. 👊 Clear Passion & Purpose – The drive in these founders is undeniable. They’re committed to their mission with a depth of purpose that shapes every choice. One founder, for example, took two years completely off to learn and meet everyone in longevity biotech. This level of grit and dedication is rare but essential for the most impactful founders. 🌟 Assembling All-Star Teams – They bring together top-tier talent from diverse disciplines: experienced business leaders with successful exits or industry experience at top companies, technical co-founders with deep expertise, often PhDs or industry pioneers, and even published authors. It’s a complementary team, unified by a shared vision. They make the: "Why this team?" obvious - at a glance. 💻 Data-Driven to the Core – These founders present data insights that show why their approach is unique, especially against a competitive field of companies. This data is delivered with clarity and they make the complex simple. Many are published in top journals, adding depth and credibility to their approach, and reinforcing that they know their tech inside out. ⚡️ Memorable, Clear Vision – They don’t just pitch; they make the future feel tangible, with a vision that’s both compelling and concise. If I can relay their pitch in under 30 seconds to my team, they’ve killed it. 📣 Transparent & Proactive Communication – The best founders don’t wait for questions. They come prepared, often with a comprehensive FAQ doc, give timely updates to our questions, and are candid about challenges. This level of openness builds trust and strengthens our partnership. 💸 Milestone-Driven Funding Strategy – Each funding stage aligns clearly with already achieved or upcoming achievable milestones. They’ve mapped out a roadmap that minimizes risk at every step, giving us confidence in their journey. 💰 Revenue Milestones Along the Way – Even if it'll take a decade to hit revenue on their big vision, these founders find revenue generation stops along the way to profitability. They share a trajectory that connects early wins to revenue, showing how every step is a building block toward their bigger vision. Overall, the best founders are incredibly thoughtful, prepared, and fantastic verbal / written communicators. #founders #startups #fundraising #VC

36

2 Comments

I find it hard to believe that with millions of EVs entering the market and the proliferation of AI compute that PGE is actually going to have excess capacity in 2040 without any additional generation from 3rd parties. I am also curious if there are enough transmission lines and if PGE views that as someone else’s problem. Maybe they are planning on AI and ACTUAL figuring it all out! https://lnkd.in/gybsMmaw

10

5 Comments

Friends, Q2 was a quarter of progress and learning for us at HawkTower, where we invest in early-stage startups applying breakthrough computing technologies to maximize California's natural resource markets. Our focus is on technology-enabled interventions (e.g., AI-enabled geospatial radars for lithium-ion batteries in the waste stream) for critical, market-level imperatives (e.g., disaster prevention) that can drive rapid commercial adoption (e.g., placed on every recycling truck in the world). Our current investment priorities are: - Agricultural productivity and efficiency - Biomanufacturing - Labor and mobility automation - Waste stream optimization and decarbonization - Disaster prevention and management Here’s a snapshot of what we’ve been up to: Milestones and Investments: - In late April, we officially launched our fund, filing with the SEC. Yay. - By June, we completed our first fund close ahead of schedule, with backing from family offices, foundations, high-net-worth individuals, and organizations aligned with California's future. - Our portfolio now includes three early-stage investments (Farm-ng, Agriful Software, and Nexstera Tech). Strategic Partnerships: - We believe that startups operating closer to their customers and resources, especially in agriculture and biomanufacturing, have a strategic advantage. For instance, the Salinas Valley, a major agricultural hub, is less than an hour from Silicon Valley and serves as a center of thought leadership in the convergence of agriculture and AI (from Western Growers, Taylor Farms, and others). - Similarly, the North San Joaquin Valley is emerging as a biotech and agtech innovation hub, and we are proud to support BEAM Circular, a startup hub for the circular bioeconomy. Key Relationships: - Karen Warner, CEO of BEAM Circular, joined HawkTower as a strategic advisor. - Jackie Cruz, Ed. D. Cruz, Hartnell College’s VP of Advancement, advises on Salinas Valley and workforce development. - Ben Palone from Western Growers, with his technical background in agriculture, became a trusted advisor. - Matthew Hoffman from Driscoll's Global R&D team provides insights on global agriculture, product positioning, and investment strategy. - We collaborated with Monterey Bay DART for workforce development and automation in agtech. - Dominic Milano and the Milano Technical Group from Merced collaborated on key initiatives and advised us on investments. - HawkTower is participating in Santa Cruz Works's accelerator cohort as a mentor and advisor. Thank you Doug Erickson. - We published an overview of entrepreneurship across the UC system with input from across the University of California system. Moving into the fall, we remain deeply committed to supporting founders shaping California's future natural resource markets. Stay tuned and be in touch! : ) Db

95

5 Comments

🚨 Breaking! 8090 Industries portfolio company Exowatt led by industrialist Hannan P. launches P3, fundamentally unleashing a new dawn for the energy industry! ☀️ Catch the story from Michelle Ma at Bloomberg below: https://lnkd.in/gkfHENST ⚡ Setting the stage: The power requirements to scale AI are astronomical. Within a decade AI will require 650TWh of new power generation – more than the electricity demand of South Korea. In the U.S. alone, data centers will require the equivalent amount of electricity to power 40 million households by 2030. Exowatt P3s can generate electricity at scale at just a $0.04 LCOE and with entirely baseload renewable tech. That’s lower than the cost of most fossil fuels and doesn’t account for subsidies. We have already amassed a 1.2 GW backlog, worth $Billions from the mega tech hyperscalers, energy and data center companies. 💡 How does it work? The system works by capturing the sun’s energy in the form of heat, storing it in a heat battery and converting it to electricity via a heat engine even when the sun is no longer out. This changes the economics of solar by solving a problem called the “Duck Curve” where all conventional solar producers are forced to sell their power at the same time while at maximum output, driving the electricity cost sometimes to zero or negative intraday and leaving no supply at night. Data centers need to operate 24/7 and typically have 60% of their OPEX from energy costs, so an inexpensive and ever available alternative is very important to them. Data centers are straining to bring capacity online and without solutions like Exowatt, are being forced to turn to fossil fuels like coal, oil and natural gas. Keep a close eye on this one, we have no doubt Hannan P. Jack Abraham and the Exowatt team will be pushing forward an exciting, abundant and carbon-free powered future!⚡️ cc Kerem Ozmen Wes Mendenhall Filip Vurdelja Haluk Sabanci Dincer Grant Brown Charles Oppenheimer Ishan Meswani Garuth A. Andrew Irwin

33

2 Comments

Thrilled to share our latest podcast episode featuring Peter Marton, co-founder & CEO of OpenMeter! We talked about how OpenMeter is transforming AI billing with their usage-based pricing model. Peter shares his journey from Netflix & Stripe to building this Y Combinator-backed startup, plus insights on: - The pain points of traditional billing for developers - Why open-source is key to transparency in AI monetization - How OpenMeter is empowering companies to manage AI costs effectively - ...and much more! Check out the full episode here: https://lnkd.in/ebAQFhi7 Let me know: What's your biggest challenge with adopting usage-based billing for your products or services? #startups #entrepreneurship #AI #API #monetization #OpenMeter

10

2 Comments

A couple of years ago, I published a post On YC batch quality at scale that showed the upward trend in Y Combinator startup outcomes despite a massive increase in YC batch sizes over time. While it’s counter-intuitive to many investors, YC has managed to only maintain but improve the quality of startups it admits into the program even as batch sizes have increased from a dozen or so companies in the early years to 200+ today. My previous post measured YC batch quality simply by the percentage of startups from each batch that made it onto YC’s Top Companies list ($150M+ valuations) or became unicorns ($1B+ valuations). While these are great measures of YC startup success, they are retrospective in nature, since it takes several years for YC startup valuations to mature. Since Rebel Fund maintains the most comprehensive database that exists of YC startups, founders, and outcomes outside of YC itself, we’re in an excellent position to not only look at retrospective measures of YC startup quality like valuation growth, but also prospective measures like overall company and founder quality…

64

5 Comments