Portfolio Companies
12Etched
Etched raises $300M Series C to build custom silicon inference systems for AI models, with production-ready chips shipping in 2026.
Bunkerhill Health
AI agent platform for health systems to deploy clinical, operational, and administrative agents. Sequoia Capital continues investment from seed round.
Sable
AI employee platform with real-time computer use and vision. Sable leads customer calls with multimodal capabilities. Sequoia led seed and co-led Series A.
Probook
AI Operating System for home services automating dispatch, intake and customer management for trades businesses.
Standard Intelligence
Series A funding led by Sequoia Capital for video-based AI agents trained on computer use. Developing FDM-1 foundation model for general computer agents using pixel-space pre-training.
Ineffable Intelligence
AI research lab founded by David Silver building reinforcement learning-based superlearner without pre-training, aiming toward superintelligence.
Auctor
AI autopilot for software implementation. Automates enterprise software deployment by consolidating requirements, decisions, and context across systems.
Edra
Edra analyzes enterprise data to create dynamic knowledge bases for AI agents, automating IT service management and customer support at scale.
Scanner
Log search engine for object storage enabling petabyte-scale security data queries in seconds, with AI-driven security operations.
Waymo
Sequoia co-leads $16B investment round alongside Dragoneer and DST Global for autonomous mobility expansion to 20+ cities.
Pace
AI agents for insurance claims processing and back-office automation, led by Sequoia Capital
Blockit
AI-powered scheduling app using LLMs to optimize time allocation with freemium model and network effects.
Recent Articles
30America’s Open-Model Paradox
A Sequoia Capital analysis highlights a structural paradox in the U.S. AI ecosystem: Qwen's share of open-model fine-tuning and adaptation surged from 1% in January 2024 to 69% by February 2026, with most American AI startups incorporating Chinese open-weight models into their stacks. Western labs are also using Chinese models as teachers for synthetic training data generation. The piece notes an asymmetry where legal pathways exist for using Chinese open models, while distillation from GPT or Claude outputs is co…
7/24/2026
Partnering with Etched: Building the Inference Machine
Sequoia Capital has led a $300 million Series C investment in Etched, an AI inference chip startup founded in a Harvard dorm in 2022, at a reported pre-money valuation of $10 billion. Etched is described as the only post-ChatGPT-era hardware startup with production-ready custom silicon, differentiating through low-voltage inference and cluster-scale memory architectures. Sequoia views inference as a potential candidate for the world's largest compute market. The investment reflects a broader thesis that purpose-bu…
7/23/2026
How venture capital is new game for tech investing?
According to a Wall Street Journal report by Kate Clark and Gregory Zuckerman, prominent venture capital firms are reshaping Silicon Valley investment practices amid an unprecedented IPO boom. Firms like Kleiner Perkins, which anchored a $5 billion late-stage financing effort in 2020, and Spark Capital, whose general partner Yasmin Razavi sits as the sole outside board member at Anthropic, exemplify a broader shift. VCs are increasingly willing to write larger checks into companies at later stages, moving away fro…
7/18/2026
Partnering with Bunkerhill Health: AI Agents that Improve Patient Outcomes
Sequoia Capital has made a follow-on investment in Bunkerhill Health, an AI agent platform for health systems, after leading the company's seed round. Bunkerhill's core product, Carebricks, enables hospitals to rapidly build and deploy AI agents across clinical, operational, and administrative functions using data they already generate. Sequoia partner Alfred Lin argues that the deployment infrastructure, not the technology itself, is the primary barrier to AI adoption in healthcare. The investment reflects a broa…
7/16/2026
Partnering with Sable: Closing the Diffusion Gap
Sequoia Capital led both the seed round and co-led the Series A for Sable, a startup building AI employees powered by real-time browser computer use, voice, video, and visual recognition. Sable's AI agent Aidan automates enterprise customer-facing interactions, with early adopters including Notion and Decagon and over 150 companies on the waitlist. Sequoia frames the investment around the diffusion gap, the lag between frontier AI capabilities from labs and actual enterprise adoption. Low-latency browser automatio…
7/16/2026
Partnering with Probook: AI for the Trades
Probook, founded by George Eliadis, Lewis Zhang, and Ben Cervantez, offers an AI operating system for home services, streamlining dispatch and operations to reduce admin burdens for tradespeople nationwide.
6/23/2026
Listen to the Market
6/1/2026
All Systems Nominal – Nominal Spotlight
Former Navy officer Cameron McCord's company Nominal helped Hermeus test a hypersonic aircraft engine at Edwards AFB, enabling taxi and liftoff tests within two hours using real-time hardware data analysis.
5/21/2026
AI Ascent 2026
Sequoia hosted its fourth annual AI Ascent in San Francisco on April 20, gathering 150+ top AI founders and researchers. Key themes included agents, cognitive revolution, robotics, and data efficiency.
5/8/2026
Standard Intelligence: Training General Intelligence in Pixel Space
Standard Intelligence bets on raw video pre-training for general computer agents, predicting mouse movements and keystrokes from pixels—a contrarian approach akin to Tesla FSD applied to knowledge work.
4/30/2026
Partnering with Ineffable Intelligence: A Superlearner for the Era of Experience
Sequoia partners with David Silver's Ineffable Intelligence, a London AI lab aiming to build a reinforcement learning-based superlearner that discovers all knowledge through experience alone, without pre-training on human data, targeting superintelligence.
4/27/2026
Partnering with Auctor
Sequoia partners with Auctor, an AI autopilot for software implementation. The startup streamlines the $500B+ consulting market by unifying requirements, decisions, and context to accelerate enterprise software deployments.
4/15/2026
Sequoia Capital shares founder’s 1977 memo for investing in Apple — initial $600,000 investment is worth $26.4 billion today, firm said it was ‘tough to do this deal’ - Tom's Hardware
Sequoia Capital revealed a 1977 internal memo about investing in Apple. Their initial $600,000 investment is now worth $26.4 billion, though they described the deal as challenging at the time.
4/5/2026
Legendary VC firm Sequoia just released the memo for its Apple bet in 1977. Read it here. - Business Insider
Venture capital firm Sequoia Capital has made public an internal memo from 1977 detailing their investment decision in Apple Computer, providing rare insight into early tech investing.
4/2/2026
Sequoia Says AI Will Kill Software Tools By Becoming The Work - Forbes
Venture capital firm Sequoia predicts that AI will eventually replace traditional software tools by directly performing the work itself, rather than just assisting users in completing tasks.
4/1/2026
Sequoia Capital names veteran Doug Leone as chairman - Reuters
Sequoia Capital appoints Doug Leone, a veteran executive, as chairman of the prominent venture capital firm.
4/1/2026
Sequoia Capital Names Former Leader Leone as Chairman - The Information
Sequoia Capital has appointed Doug Leone, a former managing partner, as chairman of the venture capital firm in a leadership transition.
3/31/2026
Billionaire VC Doug Leone Back Investing At Sequoia In Chairman Role - Forbes
Billionaire venture capitalist Doug Leone returns to active investing at Sequoia Capital in a chairman role, marking his comeback to the prominent Silicon Valley investment firm.
3/31/2026
From Hierarchy to Intelligence
An article by Jack Dorsey and Roelof Botha exploring how AI can transform organizational design. It traces the evolution from Roman military hierarchy to modern corporate structures, arguing that AI offers the potential to fundamentally change how we work together rather than just enhance productivity.
3/31/2026
From Hierarchy to Intelligence - Sequoia Capital
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3/31/2026
Partnering with Edra: Context for Agents at Scale
Former Palantir executives Eugen Alpeza and Yannis Karamanlakis founded Edra to transform enterprise knowledge into dynamic context for AI agents, solving the costly problem of getting AI up to speed in company-specific environments.
3/18/2026
Partnering with Edra: Context for Agents at Scale - Sequoia Capital
Article discusses Sequoia Capital's partnership with Edra, focusing on providing context and infrastructure for AI agents operating at scale in enterprise environments.
3/18/2026
Partnering with Scanner: Every Log Tells a Story—If You Can Find It Fast Enough
Cliff and Steven are revolutionizing security operations by making petabytes of log data searchable in seconds, solving the costly problem of storing and accessing security logs for threat investigation.
3/10/2026
Services: The New Software
The next trillion-dollar company will be a software firm disguised as a services company. As AI handles intelligence work, companies should sell the work done, not the tools, making them faster and more competitive.
3/6/2026
Services: The New Software - Sequoia Capital
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3/5/2026
Partnering with Firetiger: Validation at the Speed of AI
Firetiger is a new observability product that uses AI agents to automatically monitor, detect anomalies, and fix issues before customers notice, helping companies manage code quality as AI generates increasing amounts of software.
2/18/2026
The Opening, Midgame and Endgame in Startups
Best startup founders are "time travelers" who simultaneously navigate three phases: opening (idea to startup transformation), midgame (post product-market fit growth), and endgame, rather than moving sequentially.
2/11/2026
The Opening, Midgame and Endgame in Startups - Sequoia Capital
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2/11/2026
Partnering With Waymo
Sequoia co-leads Waymo's $16B investment round. Waymo achieved 90% reduction in serious crashes over 127M autonomous miles and delivered 15M paid rides in 2025, marking the arrival of commercial autonomous mobility.
2/2/2026
Partnering With Flapping Airplanes
Investment in Flapping Airplanes, a young founders' AGI lab led by brothers Ben and Asher Spector. They focus on raw talent over brand names and believe data efficiency, not compute scale, is key to AI advancement.
1/28/2026
Investment Signals
20Open-weight models present supply-chain security risks for defense and critical infrastructure applications, as model weights cannot guarantee absence of backdoors or verify training data integrity.
Opportunities exist for Western companies building independent base models (Reflection, TML, Nemotron) and for establishing controlled, legal mechanisms for selling training rights and capability transfer to qualifying companies.
The current policy equilibrium where the West leads frontier AI but relies on Chinese open models for practical deployment is unsustainable; a domestic legal framework for capability transfer is needed.
Model distillation—using frontier models as teachers for cheaper post-training—gives Chinese labs a structural advantage in developing competitive open models without incurring full pre-training costs.
Qwen's dominance in open-model fine-tunes and adaptations surged from 1% (Jan 2024) to 69% (Feb 2026), indicating rapid consolidation around Chinese open-source models.
Western AI companies are increasingly dependent on Chinese open-weight models (Qwen, Kimi) for post-training and synthetic data generation, creating a structural vulnerability in the AI supply chain.
Post-ChatGPT era hardware startups achieving production-ready custom silicon and successful tape-outs at leading-edge foundries represent a significant technical milestone in AI infrastructure.
Custom silicon and cluster-scale inference systems are critical to achieving efficiency gains in AI compute, particularly for optimizing throughput and latency across frontier models.
Inference is positioned as the largest emerging AI market, requiring specialized hardware infrastructure across consumer-facing applications and enterprise systems.
Sequoia Capital leads $300M Series C investment in Etched at $10B pre-money valuation, backing an AI inference-specific hardware startup with production-ready custom silicon.
Spark Capital made a late-stage investment in Anthropic, positioning itself as an outside board member with significant influence.
VCs are shifting to late-stage investments, with firms investing years after company founding. Spark Capital invested in Anthropic at a later stage than traditional venture capital norms.
Over 150 companies are on waitlist for AI employee solutions. Enterprise deployments require breakthroughs in low-latency browser use, real-time vision, and simultaneous human-agent interaction.
The frontier of AI capabilities is outpacing enterprise adoption. There is significant market demand for AI employees that can conduct customer-facing interactions with multimodal capabilities.
Sequoia Capital led Sable's seed round and co-led its Series A. Sable is building AI employees with real-time computer use and vision capabilities for enterprise customer interactions.
Health systems are moving from point solutions to unified AI agent platforms that consolidate multiple vendor tools and enable rapid deployment across specialties and workflows.
Healthcare AI adoption bottleneck is not technology but deployment infrastructure; platforms that help health systems rapidly deploy and consolidate multiple AI agents across use cases will drive better patient outcomes.
Sequoia Capital announces continued investment in Bunkerhill Health, backing founders Nish Khandwala and David Eng who are building an AI agent platform (Carebricks) for healthcare systems to deploy AI across clinical, operational, and administrative functions.
Prior attempts to move beyond hierarchy (Spotify, Zappos, Valve, Haier) lacked the technology to perform coordination functions, but AI now enables this structural transformation.
Block is demonstrating how to fundamentally rethink organization design using AI to increase speed as a compounding competitive advantage at scale.