
Sequoia Capital
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.
Episodes


Decart’s Dean Leitersdorf on AI-Generated Video Games and Worlds

How Glean CEO Arvind Jain Solved the Enterprise Search Problem – and What It Means for AI at Work
Enterprise search is evolving into a comprehensive AI-driven work assistant, fundamentally changing how knowledge workers interact with corporate data. Glean, led by CEO Arvind Jain, bridges the gap between private enterprise information and large language models by utilizing a RAG-based architecture that prioritizes s...

DoorDash ft. Tony Xu – The “Wrong” Moves That Built a Giant

OpenAI Researcher Dan Roberts on What Physics Can Teach Us About AI

Google NotebookLM’s Raiza Martin and Jason Spielman on the Potential for Source-Grounded AI
This podcast episode of "Training Data" features Raiza Martin and Jason Spielman from Google, who lead the NotebookLM project, an AI-powered research tool. They discuss the origins of NotebookLM, starting as a 20% project within Google's AI Test Kitchen, and its evolution into a viral product known for generating reali...

UiPath ft. Daniel Dines - From Bootstrapping in Bucharest to One of Software’s Biggest IPOs

Snowflake CEO Sridhar Ramaswamy on Using Data to Create Simple, Reliable AI for Businesses
This episode explores the role of Snowflake, a cloud data platform, in the burgeoning field of enterprise AI. Against the backdrop of widespread AI adoption, the CEO, Sridhar Ramaswamy, discusses Snowflake's approach to integrating AI capabilities, focusing on reliability and ease of use for business users. More signi...

OpenAI's Noam Brown, Ilge Akkaya and Hunter Lightman on o1 and Teaching LLMs to Reason Better

How Reddit Became "The Front Page of the Internet" ft. Founder Steve Huffman

Why Vlad Tenev and Tudor Achim of Harmonic Think AI Is About to Change Math—and Why It Matters

Jim Fan on Nvidia’s Embodied AI Lab and Jensen Huang’s Prediction that All Robots will be Autonomous
Embodied AI represents a transition toward general-purpose foundation models capable of controlling diverse robotic forms. Nvidia’s Project Groot aims to build an AI brain for humanoid robots by integrating internet-scale data, synthetic simulation data, and real-world teleoperation. This strategy mirrors the evolution...

MongoDB ft. Dev Ittycheria - How an Early Pivot Catalyzed an Open Source Movement

Founder Eric Steinberger on Magic’s Counterintuitive Approach to Pursuing AGI

ServiceNow ft. Frank Slootman and Fred Luddy - From Starting Over at 50 to Dodging a $150B Mistake

Sierra co-founder Clay Bavor on Making Customer-Facing AI Agents Delightful

Phaidra’s Jim Gao on Building the Fourth Industrial Revolution with Reinforcement Learning

Fireworks Founder Lin Qiao on the Power of Small Models to Democratize AI Use Cases
This podcast episode features Lin Qiao, the founder and CEO of Fireworks, who shares her insights on building AI infrastructure, particularly with PyTorch, the transition to generative AI, and the significance of customization. Qiao discusses Fireworks as a powerful SaaS platform aimed at revolutionizing AI inference a...

GitHub CEO Thomas Dohmke on Building Copilot, and the the Future of Software Development

Meta’s Joe Spisak on Llama 3.1 405B and the Democratization of Frontier Models | Training Data
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