SaaS Investors

Find SaaS investors actively deploying capital. VC Sift gives you direct access to email addresses and LinkedIn profiles for SaaS-focused venture capitalists, angels, and institutional investors at every stage.

19,508 investors
PW

Patrick W.M. Imeson

Black Diamond Holdings

Angel Investor
Seed PE Growth/Expansion Big Data SaaS Energy Clean Tech +3 more
MM

Ming Ma

Thomsonreuters

Angel Investor
Seed It Management SaaS Financial Technology Fintech +3 more
PM

Paul Mercadante

Sumeru Equity Partners

Angel Investor
Growth PE Growth/Expansion Investment Management SaaS Technology +1 more
IZ

Imed Zine

Roadmap Capital

VC Firm
Seed Early Stage SaaS Artificial Intelligence Machine Learning Technology +2 more
DP

Daven Patel

Family Office

Family Office
PE Growth/Expansion Buyout Investment Management Personal Finance Banking +6 more
DM

David Macdonald

Leaders Fund

VC Firm
Seed Early Stage Investment Management SaaS Artificial Intelligence Machine Learning +4 more
BF

Brian Feinstein

Angel / Independent

Angel Investor
Seed Small And Medium Businesses Marketplaces Sales And Marketing +7 more
EG

Ezra Goldman

Lachman Goldman Ventures

VC Firm
Seed SaaS Technology Media And Telecom Tmt
KO

Kate O'Brien

Oxford Sciences Innovation

Angel Investor
Seed Early Stage Big Data Investment Management Digital Health +7 more
MB

Mark Basile

Veritas Capital

VC Firm
Early Stage PE Growth/Expansion Big Data Investment Management Digital Media +7 more
JM

Joao Monteiro

Angel / Independent

Angel Investor
Seed Crypto Web3 Blockchain Investment Management Digital Health +7 more
JC

Joseph Cha

Fuel Capital Partners

VC Firm
Seed Early Stage Digital Health SaaS Artificial Intelligence Machine Learning +6 more
AE

Andre Eikmeier

Angel / Independent

Angel Investor
Seed Social Mobile Local SaaS Financial Technology Fintech +2 more
KO

Katarina Olander

Young Entrepreneurship Dalarna

Angel Investor
Seed Early Stage SaaS Education Training Technology +1 more
JS

James Smits

KohFounders

Angel Investor
Seed Social Networking Internet Of Things Iot SaaS +7 more
PR

Preeti Rathi

Icon Ventures

VC Firm
Seed Early Stage Vr Metaverse Big Data Marketplaces +7 more
FK

Farah Khan

L Catterton

Angel Investor
Seed Early Stage Investment Management SaaS Manufacturing +5 more
LA

Luca Ascani

Lambda Alpha

Angel Investor
Seed Early Stage Marketplaces Social Commerce Insurance +7 more
MS

Michael Spitz

Main Incubator

Accelerator
Seed Early Stage SaaS Financial Technology Fintech Technology +1 more
DW

Denmark West

Connectivity Ventures

VC Firm
Seed Early Stage Big Data Investment Management Digital Health +6 more
JB

Jamin Ball

Altimeter Capital

VC Firm
Seed Early Stage Investment Management SaaS Financial Services +4 more
VH

Vincent Hankes

Thrive Capital

VC Firm
Pre-Seed Seed Small And Medium Businesses Investment Management Digital Health +7 more
EH

Edwin Hengstmengel

Endeit Capital

VC Firm
Seed Early Stage Marketing Investment Management Digital Media +7 more
SL

Stuart Lasher

Quantum Capital Partners, Inc.

VC Firm
Early Stage PE Growth/Expansion Big Data Investment Management Internet Of Things Iot +7 more
RA

Roger Allenbaugh

Northharbor Capital

VC Firm
Early Stage Growth SaaS Energy Clean Tech Manufacturing

Frequently Asked Questions about Institutional LP Investors

VC Sift maintains a comprehensive list of SaaS investors across all stages, from pre-seed angels to growth-stage VC firms. Our database includes verified contact information for each investor.
The SaaS space includes investors active at every stage. Use our filters to narrow down by pre-seed, seed, Series A, and beyond to find the right stage match for your company.
Yes. VC Sift Essentials subscribers can export up to 1,000 SaaS investor contacts per month as a CSV file. Pro subscribers have unlimited exports.
Combine the SaaS sector filter with a country filter on the VC Sift search page to find investors matching both criteria. You can also browse our pre-built sector + country combo pages.
VC Sift validates email addresses and updates investor records on a rolling basis. We use a combination of automated verification and manual research to maintain data accuracy.