AI investors
AI investors back companies whose product depends on models, on the data that trains them, or on the infrastructure that runs them. That covers applied products built on foundation models, the tooling that developers use to build and deploy them, and the data and compute layers underneath.
The firms on this list name AI or data infrastructure as a focus on their own website. Some are specialist funds and many are generalist firms with an AI practice. Each cites its own site as the source for what is written here.
Midlothian Angel Network is a financial services organization based in Texas that operates an angel investment network. It connects investors with early-stage companies, focusing on…
Founded in 2022 by Timur Daudpota and Sun Choi, 2080 Ventures operates as a hybrid venture accelerator and early-stage VC firm. The firm focuses on bridging emerging markets (Asia…
6 Degrees Capital is a venture capital firm that invests in startups from Seed to Series B stages across fintech, enterprise software, and artificial intelligence. The firm is…
Founded in 2015 by Palantir co-founder Joe Lonsdale and his partners, 8VC emerged from the ashes of Formation 8 to become one of the most prominent contrarian venture capital firms in…
Franklin Resources is a global investment management organization known as Franklin Templeton Investments. They have an extensive global presence, including offices in 35 countries…
Kolektor Ventures is a corporate venture capital fund of the closed type established by Kolektor. The aim is to invest in companies in their early stages of development that are…
NTT Docomo Ventures is the corporate venture capital arm of the NTT Group, established in 2008. It functions as the groups central point of contact for the global startup and venture…
Created in 2020 by the global transport infrastructure operator Globalvia, Openvia serves as its dedicated innovation and technology platform. The firm operates as a Corporate Venture…
Founded in Q2 2023 by Taranveer Sabharwal, STIX operates a privacy-first, data-driven OTC platform for trading illiquid digital assets, locked tokens, and crypto equities. Beyond its…
Türkiye İş Bankası is a major Turkish bank providing personal banking services. It offers a wide range of financial products to retail customers and is recognized as a leading brand…
YAY Network is a leading investment syndicate composed of industry leaders, venture capitalists, developers, and the advanced retail community. The organization focuses on investment…
Founded in 2020 by former Rocket Internet executives Alexander Kudlich and Ludwig Ensthaler, alongside Mesosphere founder Florian Leibert, 468 Capital bridges the European and US tech…
Founded by the highly influential, pseudonymous NFT thought leader "Punk6529", 6529 Capital was established to help traditional and institutional investors access the digital asset…
Aalto University is all about cross-disciplinary projects and learning in practice. Students are encouraged and supported to excel both in their studies and their future careers. Many…
Adevinta Ventures was established as the strategic investment arm of Adevinta, a global online classifieds specialist managing household brands like Leboncoin (France), Mobile.de…
Agoranov is a public Science & Tech incubator that provides mentorship, office space, funding, and consultancy services to startups. The company is based in Paris. Agoranov has…
Alpha Protocol Ventures (APV) is a venture capital firm and incubator founded in 2023 and based in Athens, Greece. The firm launched with a $20 million fund to target the Web3…
Founded in 2001 by Anne Dias with initial seed capital from Tiger Management's Julian Robertson, Aragon Global Management rapidly grew into one of the largest female-led asset…
Arm Holdings is a British semiconductor and software design company that architects, develops, and licenses high-performance, low-cost, and energy-efficient CPU products and related…
Aude Ventures is the private investment arm of Thomas Annicq, an MIT Sloan alumnus, former Bain consultant, and serial entrepreneur (Thasos Group, Quantified Labs, Oneshot.earth). The…
Originally rooted in earlier Baldwin County incubation efforts in Robertsdale, Hatch Fairhope was officially launched in 2020 as a convergence point for tech, biotech, and creative…
Founded in 2003, BANSON e.V. is an established, volunteer-led business angel network dedicated to fostering the startup ecosystem in Lower Saxony, Germany. The organization bridges…
Founded in 2009 to boost entrepreneurship during the financial crisis, Beta-i has evolved into one of Europe's leading collaborative innovation consultancies and ecosystem builders.…
What AI investors look for
An advantage the model providers cannot take.
A product that a general model could replace with its next release is a hard case. Investors look for proprietary data, a workflow the company owns, or a distribution position that a model alone does not give.
Evidence that the product is used, and how.
Usage that persists after the novelty. Investors want to see retention, the tasks the product completes for its users, and what those users stop doing elsewhere.
Economics that survive inference costs.
Gross margin after the cost of running models. A product that costs more to serve than customers will pay is a research project until that changes.
A team that understands both the models and the domain.
The strongest companies pair people who know what the technology can do with people who know what a customer in the sector needs done.
A clear view of where value accrues.
Investors ask whether the value in this category goes to the model, the application or the infrastructure, and why this company sits where it does.
Raising in AI
Rounds in this sector move faster and price higher than in most others, and the same firms that write cheques quickly also walk away quickly when the next model release changes the picture. A clear account of why the company still matters after that release is the core of the pitch.
Have ready: usage data that shows retention and depth, unit economics that include inference costs, a description of what data or workflow the company owns, and a view on the model providers' roadmap. Investors in this sector will have read the same papers the founders have.
Many AI investors are technical and will want to see the product work. A live demo, with the failure cases shown as plainly as the successes, does more than a deck.
Questions
Do I need to train my own model to raise from AI investors?
No. Most funded AI companies build on models they do not own. What investors want is a reason the company keeps its customers when the underlying model is available to everyone.
What is an AI wrapper, and is it fundable?
A product that adds a thin interface to a general model. Investors use the term for companies without a defensible position. A product becomes more than that through owned data, deep integration into a workflow, or distribution that competitors cannot reach.
How do AI investors think about compute costs?
As a line in the gross margin. Founders should know the cost of serving each customer, how it changes with scale and with model prices, and what the margin is once the company stops subsidising usage.
Are generalist funds investing in AI?
Nearly all of them. The list on this page includes generalist firms that state AI as a focus, alongside specialist funds. The difference is usually the depth of technical diligence.
What does an AI investor mean by proprietary data?
Data that the company generates or has exclusive access to, which improves the product and which a competitor cannot buy. Usage data from the product itself is the most common form.
AI investors by city
AI investors by stage
Other sectors