Sequoia Capital

In 1972, Don Valentine established Sequoia Capital at a time when the term "Silicon Valley" was still new, having been coined just two years earlier. With a strong background in the emerging semiconductor field, Don played a significant role in advancing personal computing and networking technologies. He launched Sequoia with an initial fund of $3 million, which he used to support groundbreaking companies like Apple and the gaming innovator Atari. The choice of the name "Sequoia," after a tree known for its longevity, reflects Don's humility and his dedication to nurturing future leaders in the tech industry. This philosophy has allowed our team to thrive over the decades. We have had the privilege of collaborating with iconic companies across generations, including Cisco, Google, Instagram, Airbnb, Stripe, and many more.

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Partnering with OpenEvidence: A Life-Saving Healthcare Revolution | Sequoia Capital

1 month ago | sequoiacap.com | Pat Grady

This AI-powered search engine for doctors could be one of the most important companies of the next decade.
The Freestyle Skier Designing Germany's Robotic Workforce

2 months ago | sequoiacap.com | Sam Eifling

Tilman Tschoeke's first day at RobCo was in the spring of 2022. The small-scale industrial robotics company was still tiny, with just 25 employees in their Munich office. It was a challenging time for European startups-the characteristic precarity of early-stage entrepreneurship was exacerbated by rising interest rates and Russia's invasion of Ukraine. Companies were counting every euro carefully.
Building Blocks Firmly in Place

Dec 9, 2024 | sequoiacap.com | David Cahn

Last January, we compared ChatGPT to AI's "Big Bang" and predicted that 2024 would be AI's " primordial soup " year. The AI ecosystem was abounding with new ideas and potential energy. It was a ripe moment for new entrepreneurs. "There is much potential in the air, and yet it is still amorphous," we wrote at the time. "Vision is required to convert it into something real, tangible and, ultimately, impactful."Today, the AI ecosystem has hardened.
Cash-Flow Management for Small Businesses

Oct 31, 2024 | sequoiacap.com | George Robson

Can we afford to grow the team? Is it time to expand our product line? When should we open a second location? Small business owners struggle to make countless everyday-but high-stakes-decisions not because their businesses are flawed, but simply because of their scale. While large companies with large cash positions can often weather the storms of the open market, unexpected adverse events have an outsized effect on small businesses.
Generative AI's Act o1: The Reasoning Era Begins | Sequoia Capital

Oct 9, 2024 | sequoiacap.com | Sonya Huang |Pat Grady

Two years into the Gen AI revolution, research is progressing the field from “thinking fast”—rapid-fire pre-trained responses—to “thinking slow”— reasoning at inference time.
A Startup Founder To Scaleup CEO's Journey from $0 to $25billion

Oct 1, 2024 | sequoiacap.com | Brian Halligan

In my work as an investor with Sequoia and Propeller, many CEOs pick my brain about the journey from startup founder to scaleup CEO. It was indeed a long strange trip, but one on which I learned a lot. Here's a list of Halliganism's I picked up along the way that I hope will help some of you on that same journey. LeadingPerspiration vs Inspiration: In startup mode, the CEO role is 90% perspiration and 10% inspiration. In scaleup mode, the CEO role is 10% perspiration and 90% inspiration.
The AI Supply Chain Tug of War

Aug 12, 2024 | sequoiacap.com | David Cahn

Here's the question now being asked all across the AI ecosystem: Is there a way for someone else to take on the demand risk from AI, while I capture the profits? Today, Big Tech companies have stepped up to alleviate some of this tension. They are acting as risk-absorbers within the system, taking on as much demand risk as they possibly can, and driving the supply chain toward greater and greater CapEx escalation.
What it Takes to Win AI

Aug 5, 2024 | sequoiacap.com | David Cahn

The race to model parity has been the defining project of the last 12 months in AI. This phase was characterized by the search for new research techniques, better training data and larger cluster sizes. The next phase in the AI race is going to look different: It will be defined more by physical construction than by scientific discovery. Up until now, you could fit your training cluster into an existing data center via colocation or retrofit.
AI Optimism vs. AI Arms Race

Jul 16, 2024 | sequoiacap.com | David Cahn

Imagine you knew for certain that AI was going to be as transformational as the internet, and that you control the only AI company in the world. How fast would you build CapEx? I believe the answer is: You would take your time. "AI CapEx" is a euphemism for building physical data centers with land, power, steel and industrial capacity. If you were the only company in AI, you'd wait to digest some AI revenues. You'd see how liquid cooling systems perform, and alter your data center designs as needed.
AI is Now Shovel Ready

Jul 8, 2024 | sequoiacap.com | David Cahn

We have written here extensively about the revenue side of the AI infrastructure buildout. My last piece, AI's $600B question, focused on the implied revenue expectations for AI, and questioned the time horizon in which we'll be able to meet those lofty goals. This piece turns to the cost side of the equation. In particular, we will focus on the data center buildout, the rise of the "AI factory," and its implications for energy, construction and the industrial supply chain.