Sequoia Capital Portfolio: AI Startups Backed by Sequoia (2026 Tracker)
From foundation models to legal AI, see which companies this top VC firm is investing in to shape the future of artificial intelligence.
Updated: June 2026
Sequoia Capital is one of the most important venture firms investing in artificial intelligence.
Its AI portfolio spans frontier model labs, enterprise AI, legal AI, voice generation, AI infrastructure, AI search, healthcare AI, customer support agents, cybersecurity, developer tools, and AI-native finance.
That makes Sequoia’s AI portfolio useful as a market map. It shows where one of Silicon Valley’s most influential firms believes durable AI companies are being built.
This tracker follows publicly known AI startups backed by Sequoia Capital.
Sequoia Capital AI portfolio tracker
| Company | Category | Latest Known Round / Funding Signal | Why It Matters |
|---|---|---|---|
| OpenAI | Frontier AI / foundation models | Growth investment / major AI platform company | OpenAI is one of the defining companies of the AI era, with ChatGPT, frontier model research, enterprise AI products, and a massive developer ecosystem. |
| Anthropic | Frontier AI / AI safety / enterprise AI | 2026 Growth investment | Anthropic has become one of the strongest OpenAI challengers, with Claude gaining traction across developers, enterprises, and AI agent workflows. |
| ElevenLabs | Generative voice AI | $500M round at $11B valuation in 2026, led by Sequoia | ElevenLabs is one of the leading AI voice companies, powering text-to-speech, dubbing, voice agents, and audio generation tools. |
| Harvey | Legal AI | $200M round at $11B valuation in 2026, co-led by Sequoia and GIC | Harvey is one of the breakout vertical AI companies, focused on legal research, contract analysis, due diligence, compliance, and litigation workflows. |
| Glean | Enterprise AI search / workplace AI | $150M Series F at $7.2B valuation in 2025, with Sequoia participating | Glean is building AI-powered enterprise search and work assistants for companies trying to unlock internal knowledge. |
| Sierra | Customer support AI agents | Early / growth-stage AI company | Sierra builds AI agents for customer service, helping companies automate support conversations and resolve customer issues. |
| OpenRouter | LLM infrastructure | Series-stage AI infrastructure company | OpenRouter gives developers a unified way to route prompts and applications across different large language models. |
| Profound | AI search visibility / answer engine optimization | Series-stage AI visibility company | Profound helps brands understand and improve how they appear inside AI search and answer engines. |
| Rillet | AI accounting / finance automation | Series-stage fintech AI company | Rillet uses AI to automate accounting workflows, ledger operations, and financial back-office tasks. |
| Apex | AI security / LLM security | Seed-stage AI security company | Apex focuses on security risks created by generative AI and large language model adoption. |
| Anterior | Healthcare AI / administrative automation | Early-stage healthcare AI company | Anterior uses AI copilots to reduce administrative burden in U.S. healthcare. |
| Airtop | AI agent infrastructure / browser automation | Seed-stage automation company | Airtop builds intelligent browser automation for AI agents, a key layer for agentic workflows. |
| Apollo | AI sales platform | Growth-stage company | Apollo is an AI-enabled sales platform for prospecting, workflow automation, and revenue growth. |
| AMP Robotics | Robotics / recycling automation | Growth-stage robotics company | AMP Robotics applies AI and robotics to recycling, sorting, and materials recovery. |
| Together AI | AI infrastructure / model platform | Growth-stage AI infrastructure company | Together AI provides infrastructure for training, fine-tuning, and deploying AI models. |
| Hugging Face | AI infrastructure / open-source AI | Growth-stage AI platform | Hugging Face has become one of the most important developer platforms for models, datasets, and open-source AI tooling. |
What Sequoia’s AI portfolio says about the market
Sequoia’s AI portfolio is not one bet. It is a portfolio across the full AI stack.
The pattern is clear: Sequoia is backing companies that either build frontier models, distribute AI into enterprise workflows, or provide the infrastructure that helps developers and businesses use AI at scale.
That creates several major themes.
1. Sequoia is backing frontier AI platforms
The most obvious signal is Sequoia’s exposure to frontier AI companies like OpenAI and Anthropic.
These companies are not just building chatbots. They are competing to become the operating layer for knowledge work, software development, search, research, enterprise automation, agents, and consumer AI products.
This is the biggest-money layer of the AI market because frontier labs require enormous resources: compute, research talent, data center capacity, model training, inference infrastructure, enterprise distribution, and cloud partnerships.
For Sequoia, the frontier model category is a platform bet.
2. Sequoia is backing vertical AI winners
Harvey is the cleanest example.
Legal AI is one of the strongest vertical AI categories because the work is text-heavy, high-value, repetitive, regulated, and deeply tied to knowledge retrieval. Harvey has become one of the category leaders by focusing on law firms, corporate legal departments, contract review, legal research, compliance, and due diligence.
This is a broader Sequoia theme: the best AI companies are not always horizontal copilots. Some of the most valuable AI companies may be vertical systems built for specific industries.
That matters for healthcare, legal, finance, insurance, accounting, customer support, and professional services.
3. Sequoia is betting on AI-native enterprise software
Glean, Sierra, Rillet, Apollo, and Anterior point to the enterprise AI layer.
These are companies building AI into everyday business workflows:
- Searching company knowledge
- Resolving customer support issues
- Automating accounting work
- Improving sales workflows
- Reducing healthcare administration
- Turning internal data into usable answers
This is where AI shifts from “cool demo” into budget owner territory.
The opportunity is not just productivity. It is replacing fragmented software workflows with AI-native systems of action.
4. Sequoia is backing AI infrastructure
OpenRouter, Together AI, Airtop, Hugging Face, and parts of ElevenLabs all fit into the infrastructure side of AI.
This layer matters because AI adoption needs rails.
Developers and enterprises need model access, routing, deployment tools, agent infrastructure, browser automation, model hosting, datasets, observability, security, and workflow tooling.
The more AI usage grows, the more valuable these infrastructure layers become.
5. Sequoia is watching AI move into the physical world
AMP Robotics shows that Sequoia’s AI exposure is not limited to software.
Robotics, recycling automation, physical AI, and industrial intelligence are becoming more important as AI moves from screens into factories, warehouses, logistics networks, materials systems, and infrastructure.
That makes physical AI one of the next major categories to watch inside investor portfolios.
Top Sequoia-backed AI startups to watch
OpenAI
OpenAI is one of the most important AI companies in the world. Its products and models have shaped the AI platform race, from ChatGPT to enterprise AI and developer APIs.
For Sequoia, OpenAI represents exposure to the largest frontier AI platform category.
Anthropic
Anthropic builds Claude and focuses on reliable, interpretable, and steerable AI systems. Its 2026 funding round cemented its position as one of the largest private AI companies in the world.
Anthropic matters because enterprises are increasingly choosing between multiple frontier AI platforms rather than relying on a single model provider.
ElevenLabs
ElevenLabs is one of the leaders in generative voice AI.
Its technology is used for text-to-speech, dubbing, narration, conversational agents, media workflows, and AI audio applications. The company’s 2026 round led by Sequoia shows investor conviction that voice will be a major interface layer for AI.
Harvey
Harvey is one of the clearest examples of vertical AI breaking out.
The company focuses on legal and professional services, helping law firms and corporate legal teams automate research, drafting, contract analysis, due diligence, compliance, and litigation workflows.
Glean
Glean is building AI search and work assistants for the enterprise.
The company helps employees find internal knowledge, answer questions, and automate workflows across company data. It sits in one of the most important categories in enterprise AI: making scattered workplace information usable.
Sierra
Sierra builds customer support AI agents.
The company is part of a broader shift from customer service chatbots to AI agents that can actually resolve issues, take actions, and improve customer experience at scale.
OpenRouter
OpenRouter is an LLM infrastructure company.
It gives developers and AI applications a way to connect with different models through a unified routing layer. This matters as the model market becomes more fragmented and companies want flexibility across providers.
Profound
Profound operates in AI search visibility and answer engine optimization.
As consumers and businesses increasingly use AI answer engines instead of traditional search, brands need to understand how they appear in those systems. Profound is part of that new AI visibility layer.
Rillet
Rillet is an AI-native accounting platform.
It focuses on automating finance and ledger workflows, making it part of the broader category of AI-native back-office software.
Sequoia’s AI investment themes
Frontier models
OpenAI and Anthropic show Sequoia’s belief that frontier AI labs can become platform-scale companies.
Enterprise AI
Glean, Sierra, Apollo, Rillet, and Anterior show Sequoia’s focus on AI products that solve real business workflows.
Vertical AI
Harvey is the flagship example of vertical AI: deep workflow software for a specific, high-value industry.
AI infrastructure
OpenRouter, Together AI, Airtop, and Hugging Face show Sequoia’s exposure to the developer and infrastructure layer of AI.
AI security
Apex shows the need for security tooling as generative AI and LLMs spread across the enterprise.
Physical AI
AMP Robotics points to the next phase of AI: systems that act in the physical world.
Feed The AI take
Sequoia’s AI portfolio shows where the AI market is splitting.
On one side, there are massive frontier AI platforms like OpenAI and Anthropic. These companies require huge amounts of capital, compute, infrastructure, and distribution.
On the other side, there are specialized AI companies using models to attack specific workflows: legal, healthcare, customer support, accounting, search, sales, security, and developer infrastructure.
The middle is where things get interesting.
That is where AI stops being a model and starts becoming a company. The winners are not just building better demos. They are building systems that customers use every day.
Sequoia’s AI portfolio is basically a map of that transition:
From models to products.
From copilots to agents.
From horizontal tools to vertical workflows.
From software-only AI to physical AI.
From search rankings to answer-engine visibility.
From AI hype to AI operating systems.
The signal is clear: Sequoia is not just betting on AI. It is betting on the full AI economy.
FAQ
What AI companies has Sequoia Capital invested in?
Sequoia Capital has backed AI companies including OpenAI, Anthropic, ElevenLabs, Harvey, Glean, Sierra, OpenRouter, Profound, Rillet, Apex, Anterior, Airtop, Together AI, Hugging Face, and AMP Robotics.
Is OpenAI backed by Sequoia Capital?
Yes. OpenAI is listed by Sequoia as a portfolio company and is one of the firm’s most important AI platform bets.
Is Anthropic backed by Sequoia Capital?
Yes. Anthropic is listed in Sequoia’s portfolio as a Growth 2026 company, and Sequoia participated in Anthropic’s 2026 Series H funding round.
What is Sequoia’s AI investment strategy?
Sequoia’s AI strategy appears to span frontier models, enterprise AI, AI infrastructure, vertical AI applications, developer tools, AI security, and physical AI.
What are the biggest Sequoia-backed AI startups?
The biggest Sequoia-backed AI startups include OpenAI, Anthropic, ElevenLabs, Harvey, Glean, Hugging Face, Together AI, and Sierra.
Why does Sequoia invest in AI startups?
Sequoia invests in AI startups because AI is becoming a major platform shift across software, infrastructure, enterprise workflows, healthcare, legal services, customer support, security, robotics, and developer tools.
What is the most important Sequoia AI portfolio theme?
The most important theme is the shift from AI models to AI systems of action: tools that do real work inside businesses, not just generate text or summarize documents.
Methodology
Feed The AI tracks Sequoia-backed AI startups using Sequoia’s public portfolio pages, company announcements, investor releases, funding announcements, startup databases, and financial news reports.
This tracker focuses on publicly known AI companies backed by Sequoia Capital. It may not include stealth companies, undisclosed investments, or companies where AI is only a secondary part of the business.
This page is updated as new funding rounds, portfolio additions, acquisitions, IPO filings, and market signals become public.
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