Focus area

Machine Learning Investment Firms

The RaiseHunt database lists 3,127 Machine Learning investment firms: 3,061 of them list a portfolio, 28,751 known investments between them and 14,371 people at those firms have a profile here. Most list Seed and Series A among the rounds they take part in; the largest concentrations are in San Francisco, New York and London.

Strongest in San Francisco, New York and London

Backing rounds at Seed and Series A

3,127
Investment firms
3,061
With a known portfolio
28,751
Known investments
14,371
People with a profile

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3,127 Machine Learning investment firms

Showing 1-20

Filters
Montréal, Canada
Government-backedPrivate equity
AIClimate
View fund
San Francisco, United States
AcceleratorFund of funds
AIFinTech
View fund
Brussels, Belgium
Government-backed
AIClimate
View fund
Austria
Venture capital
AIClimate
View fund
Holland, United States
Corporate VCPrivate equity
AIClimate
View fund
Athens, Greece
Syndicate / Angel groupVenture capital
AIClimate
View fund
Singapore
Venture capital
AIFinTech
View fund
Bengaluru North, India
Venture capitalVenture debt
AIFood
View fund
Bangkok, Thailand
Venture capital
AIEducation
View fund
Amman, Jordan
Venture capital
AIHardware
View fund
San Francisco, United States
AcceleratorSyndicate / Angel group
AICommerce
View fund
London, United Kingdom
AcceleratorVenture capital
AIClimate
View fund
Kyiv, Ukraine
Private equityVenture capital
AICommerce
View fund
Oakland, United States
AcceleratorVenture capital
AIClimate
View fund
Prague 1, Czechia
Venture capital
AIConsumer
View fund
Gurgaon, India
Venture capital
AICommerce
View fund
London, United Kingdom
Corporate VCVenture capital
AIFinTech
View fund
San Mateo, United States
AcceleratorVenture capital
AIFinTech
View fund
San Francisco, United States
AcceleratorVenture capital
AICommerce
View fund
San Francisco, United States
Private equityVenture debt
AIFinTech
View fund

900 of 3,127 Machine Learning investment firms, A to Z

Grouped by first letter. Name and profile link only, the detailed rows are in the table above.
Show

A41

B23

C39

D14

E19

F43

G44

H44

I65

J14

K26

L34

M85

N47

O37

P65

Q9

R36

S103

T33

U13

V26

W20

X2

Y4

Z2

#12

Frequently asked questions

How many Machine Learning investment firms are on RaiseHunt?

RaiseHunt lists 3,127 Machine Learning investment firms.

How many of them have a known portfolio?

3,061 of the 3,127 firms list at least one portfolio company, 28,751 known investments between them.

Who can I reach at these firms?

14,371 people working at them have a profile here, each with their role at the firm and whether an email address is on file.

Where are most Machine Learning investment firms based?

The largest concentrations are in San Francisco, New York and London.

What rounds do Machine Learning investment firms take part in?

Most list Seed and Series A among their stages.

How do I contact Machine Learning investment firms?

Every firm page shows whether an email address is on file, and the named contacts at that firm. The addresses themselves, along with AI matching and outreach, are in the RaiseHunt app.

Is the list of Machine Learning investment firms free to browse?

Yes. The directory and every firm page are free to read. Matching your own startup against them requires an account.

Do Machine Learning funds only back Machine Learning companies?

No. A focus area is a signal of interest, not a restriction. Firms usually list several, and the useful question is whether the existing portfolio looks like the kind of company you are building.

What if no firm on this list replies?

Usually the list was too short or too loosely matched, not that the company is unfundable. Widen it, tighten who you are writing to, and rewrite the first two lines of the message. Those lines decide whether anything below them gets read.

What is the difference between raising from a firm and raising from an angel?

An angel invests their own money and can decide alone, which usually makes the process shorter. A firm invests money it raised from other people, so it answers to those backers and normally runs a longer diligence process before it commits. Founders often raise from angels first and bring in a firm once there is more to show.

Who should I contact at Machine Learning investment firms?

A named partner or principal, not a general company address. Investment decisions sit with individual people, and a message that lands in a shared inbox usually stops there. Each fund page here lists the people we hold a profile for, with their role at the firm.

What does a portfolio tell me about a firm?

More than the description on its website. The companies a firm has already backed show the stage it really invests at, the kinds of business model it understands, and whether it has funded anything close to what you are building. Read the portfolio before you read the pitch page.

Do Machine Learning investment firms invest outside the sectors they list?

Often, though not far outside. Sector tags describe where a firm concentrates rather than a rule it follows, and companies that sit between two categories get funded all the time. The stronger signal is whether the firm has backed a business with a similar shape, whatever label it carried.

Data: RaiseHunt investor dataset · Snapshot 26 September 2026 · How this data is built · Report a correction or request removal