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
SM

Spencer Moore

Peak Rock Capital

VC Firm
PE Growth/Expansion Buyout Healthcare SaaS Financial Services +7 more
EW

Ellen Winston

Gemini Investors

Angel Investor
PE Growth/Expansion Buyout Big Data Investment Management Healthcare +7 more
TC

Tooey Courtemanche

Angel / Independent

Angel Investor
Seed Big Data SaaS Technology +1 more
JM

Jay Markley

Angel / Independent

Angel Investor
Seed Retail Technology Social Commerce Mobile Payments +4 more
MH

Mingming Huang

Future Capital Discovery Fund

VC Firm
Early Stage Growth Investment Management Mobility And Micro Mobility SaaS +5 more
DU

David Unsworth

Information Venture Partners

VC Firm
Seed Early Stage Small And Medium Businesses Investment Management Security Privacy +6 more
YZ

Ying Zhang

China Broadband Capital Partners

VC Firm
Seed Early Stage Investment Management Travel Tourism SaaS +5 more
JH

James Holmes

Caerus Ventures

VC Firm
Seed Early Stage Investment Management Internet Of Things Iot SaaS
AW

Arnold Whitman

Generator Ventures

VC Firm
Seed Early Stage Marketplaces Investment Management Analytics +7 more
OB

Ollie Bishop

Ballpark Ventures

VC Firm
Seed Early Stage Investment Management Location Based Services SaaS +3 more
ZM

Zach Malone

Angel / Independent

Angel Investor
Seed Internet Of Things Iot Cloud Infrastructure SaaS +6 more
JG

Josh Goldman

Catapult VC

VC Firm
Seed Early Stage Marketplaces Internet Of Things Iot Consumer Internet +7 more
KB

Kishore Bopardikar

Eileses Capital

VC Firm
Seed Early Stage SaaS Artificial Intelligence Machine Learning
BS

Barrett Sprowl

The Gores Group

Corporate VC
Seed Big Data Investment Management Internet Of Things Iot +5 more
AG

Anthony Gee

Angel / Independent

Angel Investor
Seed Internet Of Things Iot SaaS Energy Clean Tech +5 more
PG

Peter Gelderen

ICOS Capital Management

VC Firm
Early Stage Growth Big Data Investment Management Biotechnology +6 more
PL

Pierre Lamond

Eclipse Ventures, LLC

VC Firm
Seed Early Stage Small And Medium Businesses Investment Management Security Privacy +7 more
NS

Nikhil Sachdev

Angel / Independent

Angel Investor
Seed Social Networking Consumer Internet Cloud Infrastructure +4 more
JG

Jan Geerts

Saffelberg Investments

Angel Investor
Seed Early Stage Big Data Investment Management Banking +7 more
LT

Leslie Totte

Capricorn Partners

Angel Investor
Seed Early Stage Big Data Investment Management Analytics +7 more
TC

Tito Costa

Angel / Independent

Angel Investor
Seed Small And Medium Businesses Marketplaces Investment Management +7 more
BL

Barry Large

Dynamo Ventures

VC Firm
Seed Early Stage Analytics Data Databases Insurance +7 more
PB

Philip Braunstein

Wexford Capital

VC Firm
Seed Early Stage Investment Management Deep Information Technology SaaS +7 more
GB

Gustav Brobert

Polaris Private Equity

Angel Investor
PE Growth/Expansion Buyout Investment Management SaaS Manufacturing +3 more
JH

Jan Habermann

Credo Ventures

VC Firm
Seed Early Stage Investment Management SaaS Financial Services +1 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.