Artificial intelligence remains the dominant theme in venture capital, spanning foundation models, infrastructure, and vertical applications. Below is a look at nine active US investors with meaningful track records backing AI companies heading into 2026.
What to Look for in an AI Investor
AI is a broad category, and investors differ significantly in whether they focus on foundation models and infrastructure versus application-layer companies. Before you start outreach, make sure your pitch deck is clear about where you sit in the stack — compute and infrastructure, model development, or applied AI products — since this shapes which investors are actually a fit. A firm that specializes in foundation model economics may not be the right audience for a vertical SaaS company using AI as a feature, and vice versa.
It's also worth distinguishing between investors who write large, concentrated checks into a handful of capital-intensive frontier labs and investors whose model is built around a broader portfolio of earlier-stage, capital-efficient application companies. Both approaches can be a good fit depending on what you're building, but pitching the wrong type of investor wastes time on both sides.
Leading US AI VCs
Andreessen Horowitz — Menlo Park, California. Founded in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (a16z) is a Menlo Park-based powerhouse that manages over $100 billion in assets. The firm is distinguished by its "Software is Eating the World" thesis and its pioneering "Platform Model," providing founders with access to a massive team of operators across talent, marketing, and policy. a16z invests across the entire AI stack, from seed-stage startups to late-stage growth companies. They were among the earliest to identify the transformative power of data infrastructure and AI agents. The firm is known for its high-conviction, concentrated bets and its ability to influence the global tech narrative through its prolific content engine. Notable AI-related portfolio companies include Databricks, a data and AI giant where a16z has been a key investor through multiple growth rounds; Character.AI, a leader in conversational AI and personalized agents; and OpenAI, where the firm has participated in significant financing rounds. They also backed Mistral AI, the European foundation model leader, as it expanded globally. The firm's partners, including Marc Andreessen and Ben Horowitz, are active voices in the debate over AI regulation and open-source development, advocating for "American Dynamism" through technical leadership.
Sequoia Capital — Menlo Park, California. Sequoia Capital was founded in 1972 by Don Valentine and is headquartered in Menlo Park. The firm is legendary for its early-stage hits, including Apple and Google, and manages approximately $56 billion in assets. Sequoia distinguishes itself with its "Prepared Mind" philosophy and its commitment to being a "company-building" partner rather than just a financier. The firm restructured in 2021 into the "Sequoia Capital Fund," a permanent capital structure that allows it to hold public stocks and invest across all stages without the constraints of traditional fund cycles. In the AI era, Sequoia has been a dominant force, particularly at the application and infrastructure layers. They provide founders with access to a powerful network of "Sequoia Scouts" and a deep bench of operating partners. Notable AI portfolio companies include OpenAI, where Sequoia has been one of the most significant and early institutional backers; Harvey, a vertical AI platform for the legal industry; and Glean, an AI-powered search and knowledge management tool. They also backed NVIDIA in its early years, long before it became the bedrock of the AI revolution. Sequoia continues to be a top choice for outlier founders building enduring AI platforms.
Khosla Ventures — Menlo Park, California. Founded in 2004 by Vinod Khosla, a co-founder of Sun Microsystems, Khosla Ventures is a Menlo Park-based firm that manages approximately $15 billion in assets. The firm distinguishes itself by its willingness to back "science experiments" and highly technical, high-risk ventures that have the potential to solve trillion-dollar problems. Vinod Khosla is known for his "Venture Assistance" model, providing deeply technical advice and strategic guidance to founders. The firm is famously contrarian, often investing in categories years before they become mainstream. Khosla Ventures was the first institutional investor in OpenAI in 2019, writing a $50 million check when few others understood the potential of large language models. This investment remains one of the most consequential in venture history. Other notable AI portfolio companies include DoorDash, where the firm backed the early logistics AI; Affirm, a fintech leader using AI for credit underwriting; and Rocket Lab, which utilizes AI for autonomous space launches. The firm continues to invest aggressively in "Human-aligned Intelligence" and foundation models that can transform societal infrastructure, from healthcare to clean energy, often leading seed and Series A rounds.
Greylock — Menlo Park, California. Greylock is one of the oldest venture firms in the U.S., founded in 1965 by Bill Elfers and Dan Gregory. Headquartered in Menlo Park, the firm manages over $3.5 billion and focuses on early-stage enterprise and consumer software. Greylock distinguishes itself by its deep partnership with founders from "Idea to IPO," often incubating companies internally through its "Greylock Edge" program. The firm has a long history of backing iconic networks and platforms, including LinkedIn and Facebook. In the AI space, Greylock focuses on "AI-first" companies that reimagine core business workflows. Notable portfolio companies include Abnormal Security, an AI-driven cybersecurity platform where Greylock was the first institutional investor; Anthropic, the AI safety and research lab where the firm has been a major participant in multiple rounds; and Snorkel AI, which specializes in programmatic data labeling. They also backed OpenAI and Figma in their early growth phases. Partner Reid Hoffman, a co-founder of LinkedIn and early OpenAI board member, is a leading voice in AI ethics and strategy. The firm continues to lead Series A and B rounds for companies building the foundational infrastructure and secure applications of the AI era.
General Catalyst — Cambridge, Massachusetts and San Francisco. Founded in 2000 by Joel Cutler and David Fialkow, General Catalyst (GC) is a global investment firm with over $43 billion in assets under management. Headquartered in Cambridge, the firm distinguishes itself by its "Health Assurance" and "Resilience" investment theses, focusing on transforming systemic industries like healthcare, defense, and finance. GC partners, including CEO Hemant Taneja and Chairman Ken Chenault (former CEO of American Express), are known for their focus on "Responsible Innovation" and long-term company building. The firm invests across all stages, from seed through growth, and has a significant international presence in Europe and India. Notable AI portfolio companies include Applied Intuition, an autonomy software platform where GC was a lead investor; Mistral AI, the French foundation model pioneer that the firm backed at its inception in 2023 and co-led into later rounds; and Anthropic, where GC has a significant position. They were also early backers of Airbnb, Stripe, and HubSpot. General Catalyst is increasingly focused on "AI-native" operating systems for industries, recently acquiring a hospital system to serve as a blueprint for AI-driven healthcare transformation.
Lightspeed Venture Partners — Menlo Park, California. Lightspeed Venture Partners was founded in 2000 by Barry Eggers, Christopher Schaepe, Ravi Mhatre, and Peter Nieh. Headquartered in Menlo Park, the firm manages approximately $35 billion in assets and operates 11 offices globally. Lightspeed distinguishes itself with its "Deep Immersion" philosophy, taking a research-heavy approach to earn conviction in complex technical categories. The firm invests across the entire lifecycle, from seed to growth, and has been a "first call" for AI founders for over a decade. They are known for providing extensive "Lightspeed Launch" resources, helping early-stage companies reach product-market fit through hands-on advisory. Notable AI portfolio companies include Anthropic, where Lightspeed led a major Series C round and continues to be a top backer; Mistral AI, where the firm was a key participant in the company's early funding; and Wiz, a cloud security leader using AI for threat detection where Lightspeed was the first investor. Other successful exits and holdings include AppDynamics, MuleSoft, and Nutanix. The firm remains a high-conviction partner for founders building AI infrastructure and the "developer platform for world models," regardless of where the founder resides globally.
Thrive Capital — New York. Established in 2009 by Joshua Kushner at the age of 24, Thrive Capital is a New York-based venture firm that manages approximately $50 billion in assets. The firm distinguishes itself by its "spartan" and selective approach, focusing on internet and software investments with a high degree of long-term conviction. Thrive often takes large, concentrated positions in category-leading companies, acting as a strategic partner to ambitious founders. Joshua Kushner, who also co-founded Oscar Health, brings an operator's perspective to the firm's leadership. Thrive has been one of the largest and most significant outside investors in OpenAI, participating in several of the company's massive financing rounds and holding a substantial stake in the AI research lab. Notable portfolio companies include Stripe, where Thrive has been a repeat investor; Ramp, an AI-powered spend management platform where the firm is a key backer; and Benchling, a cloud platform for life sciences. They were also early investors in Instagram, Twitch, and Slack. The firm's recent strategy includes registering as an investment adviser to expand into public markets and crypto assets, all while maintaining a core focus on the "AI backbone" of the modern economy.
Accel — Palo Alto, California. Founded in 1983 by Arthur Patterson and Jim Swartz, Accel is a global venture capital powerhouse headquartered in Palo Alto. The firm distinguishes itself with its "Prepared Mind" philosophy, emphasizing deep focus and disciplined research to identify technology themes long before they reach the mainstream. Accel invests across seed, venture, and growth stages, with a particular expertise in enterprise software and SaaS. The firm is known for its collaborative culture and its ability to develop great investors from within, with many partners having spent their entire careers at the firm. Notable AI portfolio companies include UiPath, an enterprise automation leader where Accel was a key early investor through its public listing; Databricks, where the firm has supported the data-and-AI pioneer since its early growth stages; and Sabi, which utilizes AI for cognitive behavioral research. Accel's 2005 investment in Facebook remains one of the most lucrative in venture history. Other key AI holdings include Vercel, 1Password, and Celonis. Accel continues to be a leading lead investor for AI-native applications and infrastructure, managing multi-billion dollar funds across the US, Europe, and India.
Index Ventures — San Francisco and London. Index Ventures was founded in Geneva in 1996 by Neil Rimer, David Rimer, and Giuseppe Zocco, and is now headquartered in London and San Francisco. The firm distinguishes itself by its "Distributed and Global" model, acting as a seamless bridge between the European and US tech ecosystems. Index focuses on building authentic relationships with founders, believing that "people, not money," are the core of venture capital. The firm manages approximately $15 billion and invests across all stages, from seed through IPO. They are known for their "Origin" seed funds and their "Venture Equity" approach to company building. Notable AI portfolio companies include Mistral AI, where Index has been a repeat lead investor across multiple rounds; Scale AI, the data labeling leader for foundation models; and Wiz, the AI-driven cloud security platform. Other iconic investments include Figma, Roblox, and Slack. Index partners, including Mike Volpi and Shardul Shah, are recognized for their deep expertise in infrastructure and open-source software. The firm continues to be a premier partner for founders with global ambitions, particularly those building at the intersection of AI, commerce, and enterprise productivity.
Why Firm Reputation Matters Beyond the Check
Because AI companies — especially foundation model developers — often raise large rounds at fast-moving valuations, having an investor with a credible reputation in the category can matter as much as the capital itself. A known AI investor's involvement signals quality to subsequent investors, strategic partners, and potential enterprise customers evaluating whether to build on your platform. It can also open doors to compute partnerships, given how capital-intensive frontier model training and inference have become.
That said, reputation shouldn't be the only filter. Founders should also weigh how hands-on a firm's partners are, whether the fund has dry powder reserved for follow-on rounds, and whether the firm's existing portfolio creates any conflicts with your product. A firm that has already backed a direct competitor in your exact niche is unlikely to lead your round, no matter how strong its brand is in AI generally.
Positioning Your Company for AI Investors
AI due diligence increasingly includes questions about data provenance, model dependencies, and defensibility against foundation model providers moving up the stack. Investors will want to understand whether your product's value comes from proprietary data and workflows or primarily from wrapping a third-party model API, since the latter is viewed as more exposed to being replicated by the underlying model provider itself. Make sure your cap table and IP assignments are clean before diligence begins — see our due diligence for startups guide for the full list of materials investors will expect.
Compute costs are another area of scrutiny. Investors evaluating infrastructure and model companies will want a clear view of your unit economics on training and inference, including how your costs scale as usage grows, and whether you have any committed capacity or pricing arrangements with cloud or chip providers. For comparisons across adjacent sectors, see our lists of top cybersecurity VCs and top deep tech VCs, since many investors overlap across these categories and some of the infrastructure dynamics are similar.
Stage Fit Still Matters
Even within AI-focused firms, stage specialization persists. Some of the investors above, such as Khosla Ventures and Accel, are active and credible at seed, while firms like Thrive Capital increasingly concentrate on large, late-stage positions in a small number of frontier companies. Matching your round size and stage to a firm's typical check size will make for a more productive first conversation than leading with a generic AI pitch to every name on this list.
Timing Your Outreach
AI fundraising timelines can move unusually fast relative to other sectors, particularly for companies with early traction or a differentiated technical approach. That speed cuts both ways: it means strong companies can close rounds quickly, but it also means founders need to have their materials, data room, and reference customers ready before they start conversations, rather than assembling them reactively once interest appears. Treat your first few investor meetings as a dry run to refine your narrative before approaching your top-choice firms.
Whether you're raising a seed round or a growth round for an AI company, targeting the right investor for your layer of the stack will save you significant time in the process.
If you're preparing for a raise and want a second set of eyes on your strategy, materials, or investor targeting, book a free consult with Quantum Growth Advisors. We work with founders across stages to help them get fundraising-ready and connect with the right investors.