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Sequoia Capital

Sequoia Capital

Venture Capital and Private Equity Principals

Menlo Park, CA 897,569 followers

About us

Sequoia helps daring founders build legendary companies from idea to IPO and beyond. We aim to be the first true believers in tomorrow’s most consequential companies. We partner with a few outliers each year and go all-in, providing them with the hands-on help required at every stage of the company building journey. Our expertise comes from nearly 50 years of working with legendary founders like Steve Jobs, Elon Musk, Larry Page, Jan Koum, Brian Chesky, Tony Xu, Lin Qiao, Eric Yuan, Christina Cacioppo, and Patrick Collison. In aggregate, Sequoia-backed companies account for more than 30% of NASDAQ's total value. The vast majority of the money we invest has been on behalf of nonprofits and schools like the Ford Foundation, Mayo Clinic and MIT, which means most of the returns we generate benefit these great causes.

Website
http://www.sequoiacap.com/
Industry
Venture Capital and Private Equity Principals
Company size
51-200 employees
Headquarters
Menlo Park, CA
Type
Privately Held
Specialties
Seed Stage, Early Stage, and Growth Stage

Locations

Employees at Sequoia Capital

Updates

  • Sequoia Capital reposted this

    David Silver is one of the all-time greats. He was the creator of AlphaGo, which changed the course of history by showing that neural nets could achieve superhuman performance for the first time. He also has a unique intuition and knack for forecasting when things will happen in AI. With computer Go, he predicted the Lee Sodol outcome 10 years before, right to the year. He got the year right for Starcraft and won a bet inside Deepmind. Same for AlphaProof. Same for the IMO. David's prediction for superintelligence: 3 years. !!! He has a strong sense that now is the time to build a super learner, and that super learners are now possible, thanks to the enormous progress in compute, simulators, autoresearch, and the sophistication of technology in the stack since the AlphaGo days. What is a “super learner”? A super learner discovers all knowledge from its own experience. Start from nothing (no internet pre-training), and go beyond human knowledge. Drop it into any stream of experience, simulated or physical, and the superlearner learns. He expects the progress will be rapid. When you get the recipe for a superlearner just right and remove humans from the development loop altogether, a superlearner can learn extremely quickly. Just look at AlphaGo. AlphaGo took two years to develop with humans in the loop. When David and his team at Google DeepMind got the formula for AlphaZero correctly, it surpassed the human-developed algorithms in just a few hours. Human data is a shortcut, but you have to let go of the human data to shoot beyond it. In January, David left GDM to found Ineffable Intelligence to build a "super learner" that discovers all knowledge from its own experience, and make first contact with superintelligence. He joins us on Training Data with co-founder Lasse Espeholt, who built IMPALA and SEED RL, the foundations of scaled-up RL, and now runs Ineffable's compute.

  • The question Ineffable Intelligence’s David Silver hears most about reinforcement learning: how do you specify a reward for something as complicated as "science" or "interesting maths"? His answer is that you don't. You give the agent something simple to optimize inside a world with a lot to learn about. Nature works this way. Evolution optimizes a simple fitness signal and produces all the complexity of life. Humans pursued simple goals and ended up with everything we know. The chain he describes: pursuing our goals, we started coordinating. Coordinating led to communicating. Communicating led to trading. Trading made arithmetic useful, then tools, then the science to understand the tools, then more complex technology, then more complex maths. Nobody specified any of it. Get that process right and it takes off.

  • Sequoia Capital reposted this

    Beam is yours to build on. Open weights, Apache 2.0. Alongside Mirror CLI, the harness Reflection built and trained it on. Proud of this team. Let’s build! 🇺🇸

    View organization page for Reflection

    35,661 followers

    Beam is now available. Open weights are now on Hugging Face, under the Apache 2.0 license. With this release, we’re launching what we’re calling an open operating system for agents - the model is the kernel, and everything above the infrastructure layer is open: reference agentic integrations, deployment containers, inference integrations, and customization pipelines.  40+ partners are contributing to our open ecosystem from day one, so every builder has everything they need to deploy, customize, and run Beam in their own environment from the start. Learn more here: https://lnkd.in/gMNnQgxw

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  • “If a large company wants to kill you, they will kill you. But you know what? They’re distracted.” Alfred Lin sat down with the Stanford AI Club to share what he’s learned backing founders from idea to IPO, and why two people and an idea shouldn’t worry about defensibility yet.

    View organization page for Stanford AI Club

    624 followers

    Alfred Lin has backed Airbnb, DoorDash, Kalshi, and Zipline. His take on AI: the biggest megatrend of his career, and it will still diffuse slower than it looks. We kicked off the Stanford AI Club 2026–27 Speaker Series with Alfred (Sequoia Capital). A few ideas from the conversation that stuck with us: → The diffusion gap. Amazon didn't kill Walmart. Even transformative tech takes years to reshape incumbents. → Value is accruing in the application layer, and owning your own intelligence matters. → Stop thinking in terms of selling tools. The more ambitious move is becoming the service. → "Fire and ice": great companies need passion and discipline at the same time (lessons from Zappos and Amazon). → For students: optimize for learning and great people. He also covered circular money in AI, how to tell a feature from an enduring company (the Airbnb story), and how to spend your first 90 days as a student founder. The link to the full talk is below👇 https://lnkd.in/gZTXeD-s Which of these would you push back on? Thank you to Alfred and Sequoia Capital. Facilitated by Tanvir Bhathal + Jason Zhang. #AI #Startups #VentureCapital

  • Sequoia Capital reposted this

    Alfred Lin has backed Airbnb, DoorDash, Kalshi, and Zipline. His take on AI: the biggest megatrend of his career, and it will still diffuse slower than it looks. We kicked off the Stanford AI Club 2026–27 Speaker Series with Alfred (Sequoia Capital). A few ideas from the conversation that stuck with us: → The diffusion gap. Amazon didn't kill Walmart. Even transformative tech takes years to reshape incumbents. → Value is accruing in the application layer, and owning your own intelligence matters. → Stop thinking in terms of selling tools. The more ambitious move is becoming the service. → "Fire and ice": great companies need passion and discipline at the same time (lessons from Zappos and Amazon). → For students: optimize for learning and great people. He also covered circular money in AI, how to tell a feature from an enduring company (the Airbnb story), and how to spend your first 90 days as a student founder. The link to the full talk is below👇 https://lnkd.in/gZTXeD-s Which of these would you push back on? Thank you to Alfred and Sequoia Capital. Facilitated by Tanvir Bhathal + Jason Zhang. #AI #Startups #VentureCapital

  • Sequoia Capital reposted this

    View organization page for Factory

    36,025 followers

    As the world’s largest alternative asset manager, Blackstone requires the highest standards of deployment flexibility and governance. Factory made it possible to operate agentic software development within Blackstone’s own data centers without compromising model choice or workflows. After trialing several offerings, Factory was able to meet the comprehensive large scale enterprise requirements of Blackstone: deployment flexibility with no limit on model choice or engineering workflows. "Remote deployment and remote engineering were the key things that we looked at when we were evaluating Factory. It was absolutely critical to ensure that agents ran inside of our data center, under our control, underneath our observation." - John Stecher, CTO at Blackstone Read more in the link in the comments.

  • Sequoia Capital reposted this

    We’ve been working on a hard problem, and I'm privileged to share that Abby Care has raised $82M to transform the future of care at home. We’re welcoming new healthcare partners led by Transformation Capital, along with CVS Health Ventures, Frist Cressey Ventures, and Pivotal, with participation from our existing, early partners Khosla Ventures, Thrive Capital, and Sequoia Capital. The problem frustrates me daily. We’re living through one of the largest healthcare workforce shortages, a rapidly aging population, and waitlists of vulnerable children needing care. Clinicians can’t see what’s happening in the home, so changes in health go unnoticed until they become emergencies. All of this strains a reactive health system and drives up costs. Family caregivers already know their loved ones best and are in the home. They’re the first to notice when something isn’t right. At Abby, we equip family caregivers with training, AI, and support from our clinicians to deliver quality care. Our platform enables real-time capture of care data in the home. Health plans and states deserve visibility and confidence that care is delivered as intended. Better care and program integrity go together. So far, we’ve helped families deliver millions of hours of care across many states, our members had 40%+ fewer reported hospitalizations in year one. But we’re just getting started, and there’s a lot more work ahead to deliver value for families and health plans. When I started, many people asked why build such a hard business in a space this complex. We did it anyway, because for the 60 million family caregivers waiting for care, it’s a fight worth fighting. Building this company has been a character-defining experience. It takes intense pain tolerance to keep getting up after being knocked down again and again. So to our team, partners, and the families who we’ve built this mission with, the credit goes to you. We have the opportunity to build a new family-led care system and to be stewards of public dollars. This team is not going to stop until we build it. The future of healthcare starts at home. Read more about our next chapter and our feature in Fortune here: https://lnkd.in/g92dE89F Back to work 🏗️ 🚀 Alfred Lin Josephine Chen Vinod Khosla Alexander A. Morgan, MD PhD Nworah Ayogu Michael Dixon Jenna Ciotti Layla Behrouzian Justin Brock Andrea Messina Payal Parikh Camille Wiggins Bill Frist, M.D. Mark Tipps Olivia Capra, CFA Erin Harkless Moore, CFA Renata Aráuz-DeStefano

  • View organization page for Sequoia Capital

    897,569 followers

    David Silver founded Ineffable Intelligence with a mission to build a "super learner" and make first contact with superintelligence. He says a super learner has capacity in two dimensions. Depth: it starts from knowing nothing at all and goes all the way to discovering things beyond what humans know. Breadth: you can drop it into any stream of experience and it keeps learning. His analogy is us. Humans started with gray mush and discovered languages, technology, science and mathematics for ourselves. Nobody handed us a blueprint or a dataset. No AI system has done that yet.

  • Sequoia Capital reposted this

    Odysseus took 10 years to get home from Troy. With Odessia he’d have been home by the weekend. Today Odessia officially launches out of preview. It all started when Francis co-founded Sonder at 19 by renting out his university apartment in Montreal to travelers. Over the next 11 years, he grew it into a hospitality company running apartments like hotels in more than 40 cities. Few founders in AI know travel as well as he does. When AI assistants arrived, Francis saw the gap right away. They could plan a great trip but couldn’t book any of it, because they weren’t connected to real prices or availability. He set out to build one that could. Odessia lives in iMessage and WhatsApp. People text it the way they’d text a friend, and it plans and books everything from a week abroad to dinner across town. Once it’s connected to Gmail, it learns someone’s preferences and starts planning before they ask. It keeps working after the booking too, rebooking when a fare drops and watching for a sold-out table to open up. Last year I predicted that 2026 would bring the first mainstream apps where AI handles everyday tasks from start to finish, like booking travel. Odessia is exactly what I had in mind. We’re proud to have led Odessia’s seed round at Sequoia Capital. Congratulations to Francis and the whole team. Try it at odessia.com.

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