Sequoia Capital

When Winston Weinberg started Harvey in 2022, many were dismissing AI application companies as "GPT wrappers." But he saw what others missed: legal expertise can't simply be scraped from the internet. This insight led to Harvey's unique approach: combining experienced lawyers' domain knowledge with AI innovation. Rather than just applying models to legal text, they broke down intricate processes into steps, building specialized workflows that augment rather than replace human expertise. Harvey's success proves that the real opportunity in AI isn't just better models—it's understanding the industry expertise that can't be learned from a dataset.

I met Mateus at a Stanford University Graduate School of Business dinner almost two years ago. I could tell immediately that he was special. Mateus was the youngest person to ever attend law school in Brazil, at age 14. He argued and won a case before Brazil's Supreme Court, earned a Master of Laws (LL.M.) degree from Harvard Law School and passed the New York bar exam – all while still under the legal drinking age of 21. So when Mateus dropped out of business school to pursue a company idea, I listened. Mateus identified a big drain on the Brazilian economy: a legal structure that incentivizes consumers to sue companies by demanding zero recourse even if the consumer loses. This bizarre legal structure has resulted in approximately 80 million active lawsuits in Brazil alone, more than in the US, making it one of the most litigious countries in the world. Mateus concluded this was a drag on the economy. International businesses would leave the market because of this burden. He was determined to relieve the pressure by using AI to prepare cases automatically. What used to take hours without AI now takes minutes, costs less, and is more effective for companies. When we asked the GC of a major international corporation what she would do if Enter (formerly Talisman) disappeared tomorrow, she shook her head and responded “I am done. I am done. I would die.” Mateus joined forces with the brilliant and dynamic Henrique Vaz and Michael Mac-Vicar to tackle this problem. Both are outliers. Henrique was CMO of a 9-figure marketing budget by age 28 and Mike is a repeat co-founder and CTO, building his last business to 9-figures of revenue and a 10-figure valuation. It's rare you find a team solving a big problem that's important to a nation, with excellent founder-market fit, extremely fast revenue growth, and with ever expanding market potential (they are now focused on implementing enterprise agents throughout the Brazilian economy). It's even rarer that such a team is brilliant, kind, funny and a delight to work with. Thank you and congratulations on this milestone to the Enter team!

We are beyond excited to come out of stealth mode and share our partnership with Sequoia Capital! Enter was founded in 2023 with the mission of making Brazil a global leader in Artificial Intelligence. We combine human expertise with AI efficiency to help major Latin American companies optimize critical processes that are high-volume and labor-intensive. We began our journey by applying AI to create personalized lawsuit answers at scale, enabling enterprises to increase their win rates in court and become more efficient. Our clients include Nubank, Banco Bmg, iFood, SulAmérica, Light, Inter, C6 Bank, Vivo (Telefônica Brasil), Agibank, banco BV, V.tal, among others. Enter is Sequoia Capital’s second-ever investment in Brazil, the world’s leading venture capital firm. Sequoia has invested in two-thirds of NASDAQ, achieving legendary returns with companies like Apple, NVIDIA, Google, WhatsApp, Instagram, YouTube and more. Since its investment in Nubank — one of its most successful bets ever —, the firm had distanced itself from Brazil but has now returned to invest in artificial intelligence. With this investment, Enter becomes the first Brazilian company to join Sequoia’s AI portfolio, alongside OpenAI, xAI, Harvey, and Sierra. If you want to read more about the investment, please check out the link in the comments!

at Sequoia Capital we are now looking for… recruiters! multiple of our Series A portfolio companies are hiring first recruiters. these are crucial founding roles with A+ teams obsessed with recruiting. what we’re looking for ➡ full cycle technical recruiter ➡ exceptional sourcing abilities ➡ hunger, adaptability, scrappiness ➡ bonus: experience in early-stage companies ➡ location: bay area it’s the chance to ‼️ build a team from ~10 to ~100, ~1,000 and ~10,000 ‼️ bend the arc of what we think are some of the most promising companies ‼️ work with founders who live and breathe recruiting ‼️ work at the forefront of generative AI, with material upside if this sounds like you or someone you know, please email me!

🚨New investment! Excited to share Sequoia Capital's partnership w/ Misha Laskin & Ioannis Alexandros Antonoglou, *the* pioneers behind AlphaGo & Gemini, on a new mission to build ReflectionAI: 🚀Build superintelligent agents to conduct all knowledge work, starting with autonomous coding agents. Reflection has built a world-class team who pioneered some of AI’s greatest breakthroughs: ✅Deep Q Networks, AlphaGo, AlphaZero and MuZero—landmark achievements in RL ✅PaLM, Character AI, ChatGPT and Gemini—cutting-edge advances in LLMs But what makes Reflection truly unique isn’t just its elite technical expertise—it’s the tight integration of research and product, combined with a customer-first approach to AI development. ❤️Legendary companies are built on solving the most ambitious problems of our lifetime. As CEO Misha puts it: “We’re working on the root node problem of our lifetime.” We have deep conviction in their potential and are honored to have been their first and long-term partner. On a personal note—working with Misha and Ioannis has been one of the greatest adventures of our lives. We’re hiring world-class researchers, engineers and product builders in San Francisco, New York and London. Come build the future with us! Read our story on why we invested: https://lnkd.in/gigM-FKu

Today we are announcing Reflection. Our team pioneered major advances in RL and LLMs, including AlphaGo and Gemini. At Reflection, we're building superintelligent autonomous systems. We believe that solving autonomous coding will enable superintelligence more broadly. Our company is defined by three things: 1) A team behind some of the most capable RL and LLM systems ever created - the two building blocks for superintelligence. 2) A focus on building the best autonomous coding systems in the world. Rather than doing many things, we do one thing really well. 3) Equal emphasis on research and product. Superintelligence cannot be built in a vacuum. We look for colleagues who have high internal drive, integrity, and a deep interest in the problems we’re pursuing. If that’s exciting to you, join us. We’re excited to partner with Sequoia Capital, Lightspeed, and CRV and want to thank Shirin Ghaffary for covering the story. Read more here: https://lnkd.in/e4Szy9bR

Today, we’re excited to introduce three state-of-the-art models that work together to transform human-AI interactions: 🤖 Phoenix-3: Our flagship replica model, now with full-face rendering, emotions, & micro expressions 👁️ Raven-0: A real-time perception system, giving AI human-like eyes to understand visual context and emotions 🗣️ Sparrow-0: A transformer-based turn-taking model for natural dialogue and turn-taking You can now build even more realistic AI Agents with emotional intelligence. They not only look human, but can engage, perceive, listen, and understand in a deeply human way. This is an evolution of our Conversational Video Interface, into a complete operating system for human-AI interaction. AI isn’t just responding anymore. It’s thinking, perceiving, and evolving – it's a big step closer to feeling like true face-to-face communication. See the magic for yourself—talk to our live demo agent Charlie: www.tavus.io We can’t wait to see what conversational AI video experiences you build with CVI. 🚀

Isa Fulford and Josh Tobin from OpenAI’s Deep Research team describe what an AI agent needs to change your research behavior: ⚙️ End-to-End Training: Forget manual scripting, Deep Research learns through complete training on real browsing tasks, developing fluid strategies that would break traditional agent architectures. 💎 Quality is the Secret Sauce: Meticulously curated training data combined with o3's advanced reasoning capabilities enables Deep Research to deliver accurate, comprehensive results. 🎯 Mastering Flexible Tasks: From market research to scientific literature reviews, a research assistant needs to adapt its strategy based on initial findings, balancing structure and exploration. 🔍 Trust Through Visibility: Citations, requirement clarification and transparent reasoning let users verify conclusions while accessing research depth they couldn’t achieve alone. ⚡️ Time Compression Magic: By turning hours of research into minutes, Deep Research is fundamentally expanding what knowledge workers can achieve, from investment analysis to event planning. Watch the episode here: YouTube: https://seq.vc/u9t Apple: https://seq.vc/814 Spotify: https://seq.vc/cha

I had a chance to attend the annual Temporal Technologies customer conference #Replay2025 which took place in London this week. I have been working with the company for 5 years now so I should know it well... But I continue to be amazed at the multiplicity of Temporal's use cases: from the Chaos rendering animated movies in the cloud, to Mollie and Mercury running payments, to Salesforce doing database migrations, to Datadog running 80 different use cases. Temporal Technologies can always pack the room, and one feels the genuine user love! Many new product announcements: - one-click migration from self-hosted open source deployment to Temporal Cloud while the workflows are live and running of course. The VMware alum in me would call this "VMotion for Temporal workflows". - GA of Temporal Nexus, e.g. the ability for workflow to spend organizational boundaries. Imagine the possibilities: a workflow can call any external API, and benefit from the Temporal availability guarantees. - multi-region replication Well done Samar Abbas, Maxim Fateev, Preeti Somal, Clair B., Timothy Hughes, Jim Cyb, and the entire team!

📣 New Series A from Sequoia Capital!🌲 Freed began as a love letter from Erez Druk to his physician wife Gabriela Meckler, MD, who was drowning in documentation and administrivia. Studies show that for every one hour of patient interaction, clinicians devote two hours to documentation. Freed transforms the lives of clinicians by freeing them from paperwork. Today Freed serves more than 17,000 providers in small- and medium-sized practices across 100+ specialties. Josephine Chen and I are proud to be partnering with Erez, Andrey Bannikov, and the Freed team.