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Vector Databases Investors: Angels and VC Firms

The RaiseHunt database lists 128 Vector Databases investors: 8 angel investors and 120 people at 27 firms. Most list Seed and Series A among their stages; the largest hubs are San Francisco, New York and London.

Strongest in San Francisco, New York and London

Common stages: Seed and Series A

128
Vector Databases investors
8
Angel investors
120
People at VC/PE firms
27
Firms tagged

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128 Vector Databases investors

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Amr Awadallah
Amr Awadallah

angel investor and operator angel

Palo Alto, United States
AngelOperator angel
AISaaS
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William Crowder
William Crowder

Co-Founder & Managing Partner

Philadelphia, United States
Venture capital
AIFinTech
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Heribert Uhl
Heribert Uhl

Investor and Board Observer

Stuttgart, Germany
Corporate VCVenture capital
AIClimate
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Austin Schwartz
Austin Schwartz

Portfolio Manager

London, United Kingdom
AcceleratorCorporate VC
AICommerce
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Eden Dhaliwal
Eden Dhaliwal

Strategy Advisor

Toronto, Canada
AcceleratorCorporate VC
AICommerce
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Chicago, United States
AcceleratorCorporate VC
AICommerce
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Germany
Operator-led
AIConsumer
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Tel Aviv, Israel
AcceleratorCorporate VC
AICommerce
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San Diego, United States
Corporate VCSyndicate / Angel group
AIFinTech
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Christian Schnedler
Christian Schnedler

OODA Network Expert

New York, United States
Corporate VCPrivate equity
AICommerce
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United Kingdom
AcceleratorCorporate VC
AICommerce
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Andres Acevedo
Andres Acevedo

Investment Manager

United States
AcceleratorCorporate VC
AICommerce
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United States
AcceleratorCorporate VC
AICommerce
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San Francisco, United States
AcceleratorSyndicate / Angel group
AICommerce
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Bellevue, United States
AngelOperator angel
AIHardware
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Jonathan Ebinger
Jonathan Ebinger

Co-founder & General Partner

San Francisco, United States
AcceleratorVenture capital
AIClimate
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Imran Akram
Imran Akram

Venture Partner

London, United Kingdom
Fund of fundsVenture capital
AIFinTech
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Santo Politi
Santo Politi

Founder and General Partner

Boston, United States
Corporate VCVenture capital
AICommerce
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Marc Lewden
Marc Lewden

Partner

Paris, France
Fund of fundsVenture capital
AIFinTech
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Jeff Doran
Jeff Doran

General Partner

Boston, United States
Venture capital
AICommerce
View profile

88 of 128 Vector Databases investors, A to Z

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

How many Vector Databases investors are on RaiseHunt?

RaiseHunt currently lists 128 Vector Databases investors.

Are Vector Databases investors angels or funds?

Both. 8 are angel investors putting in their own money, and 120 are people making investment decisions at 27 firms.

Where are most Vector Databases investors based?

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

What stage do Vector Databases investors invest at?

Most list Seed and Series A among the rounds they take part in.

How do I contact Vector Databases investors?

Every profile shows whether an email address is on file. The addresses themselves, along with AI matching and outreach, are in the RaiseHunt app.

Is the list of Vector Databases investors free to browse?

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

Do Vector Databases investors only back Vector Databases companies?

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

What is the difference between an angel investor and a VC fund?

An angel invests their own money and can decide alone, which usually makes the process shorter. A fund 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 fund once there is more to show.

How many Vector Databases investors should I contact?

Far more than feels comfortable. Response rates on cold outreach are low even when the fit is good, so a list of a handful of perfect names tends to stall. Build a long list, sort it by how well each one matches what you are building, and work down it in batches rather than sending everything at once.

What should I have ready before reaching out?

A short deck, a one-paragraph description of what you do and who it is for, and a clear number for how much you are raising. Investors read the first two lines before they decide whether to open the deck, so those lines matter more than the rest of the document.

Does a warm introduction still matter?

It helps, mostly because it moves your email out of a crowded inbox. It is not a requirement. A cold message that shows you understand what someone has already backed, and why your company fits that pattern, gets read more often than a vague introduction from a distant contact.

How do I know which Vector Databases investors are a fit?

Look at what they have already funded rather than what their profile says they like. Stage matters most, then sector, then geography. An investor who has never funded anything at your stage is unlikely to start with you, however well the sector lines up.

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