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
MM

Mike Matteo

Oak HC/FT

Angel Investor
Early Stage Growth Investment Management Digital Health Healthcare Services +3 more
IH

Imran Hussain

Angel / Independent

Angel Investor
Seed Investment Management SaaS Financial Technology Fintech +1 more
RG

Ryan Gillooly

Echo Health Ventures

VC Firm
Seed Early Stage Investment Management Healthcare Digital Health +6 more
JM

Juan Muldoon

Energize Ventures

VC Firm
Early Stage Growth Big Data Investments SaaS +4 more
JP

Jeffrey Parks

Riverwood Capital

VC Firm
Seed Early Stage Investment Management Internet Of Things Iot Deep Information Technology +6 more
TS

Tom Steinberg

TS Partners LLC

Angel Investor
Seed SaaS Life Sciences Healthcare It +2 more
CP

Christopher Piedmonte

Angel / Independent

Angel Investor
Seed Internet Of Things Iot Fashion Hardware +7 more
AN

Ad Notenboom

Smile Invest

Angel Investor
PE Growth/Expansion Buyout Investment Management Construction SaaS +1 more
DL

David Lam

Abven

Angel Investor
Seed Early Stage Vr Metaverse Big Data Internet Of Things Iot +7 more
SA

Sean Auriti

Madrona Venture Group

VC Firm
Seed Early Stage Crypto Web3 Blockchain Big Data Marketplaces +7 more
VF

Victoria Fox

SDC Capital Partners, LLC

VC Firm
PE Growth/Expansion Buyout Investment Management SaaS Infrastructure +3 more
EW

Eric Winokur

Angel / Independent

Angel Investor
Seed Sales And Marketing Retail Technology Healthcare +7 more
NR

Nowlin Randolph

Crestline Investors

Angel Investor
Early Stage Growth Investment Management Internet Of Things Iot Education Technology Edtech +6 more
PM

Patricia Muoio

Greenspring Associates

Angel Investor
Seed Early Stage Investment Management SaaS Technology +1 more
DR

David Rauber

Health Enterprise Partners

Angel Investor
Seed Early Stage Investment Management Biotechnology Healthcare +7 more
PE

Patrick Ennis

Madrona Venture Group

VC Firm
Seed Early Stage Crypto Web3 Blockchain Big Data Marketplaces +7 more
DM

David Matias

Vodia Capital

VC Firm
Seed Early Stage Food Tech SaaS Energy Clean Tech +3 more
GA

Gary Anetsberger

Angel / Independent

Angel Investor
Seed Games Gaming Consumer Internet SaaS +2 more
SM

Sanjot Malhi

Northzone Ventures

VC Firm
Seed Early Stage Crypto Web3 Blockchain Investment Management Games Gaming +7 more
CL

Claire Lambrecht

The Austin Brew Bus

Angel Investor
Seed Early Stage Investment Management It Management Incubators +5 more
BW

Boris Wertz

Angel / Independent

Angel Investor
Seed Crypto Web3 Blockchain Small And Medium Businesses Marketplaces +7 more
LV

Lucas Velez

Moderne Ventures

VC Firm
Seed Early Stage Big Data Small And Medium Businesses Marketplaces +7 more
DM

David McLean

Workhorse Capital

VC Firm
Early Stage Growth SaaS Technology Media And Telecom Tmt
EM

Ed Mathers

New Enterprise Associates

Angel Investor
Seed Early Stage Big Data Investment Management Hr Tech +7 more
JS

James Sietstra

Angel / Independent

Angel Investor
Seed It Management Food Tech SaaS +2 more

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.