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
JA

Jonathan Abrams

Angel / Independent

Angel Investor
Seed Data Databases Social Networking Messaging +6 more
CS

Curt Smith

Angel / Independent

Angel Investor
Seed Investment Management SaaS Education Training +2 more
RV

Rohan Venkatesh

The Gladstone Companies

Angel Investor
Seed PE Growth/Expansion Big Data Investment Management Healthcare +7 more
WM

Wayne Mulligan

Angel / Independent

Angel Investor
Seed Investment Management Publishing Printing Personal Finance +6 more
KN

Kira Noodleman

BEE Partners

Angel Investor
Pre-Seed Seed Crypto Web3 Blockchain Small And Medium Businesses Marketplaces +7 more
LB

Louis Berneman

OUP (Osage University Partners)

Institutional Lp
Seed Early Stage Investment Management Digital Health SaaS +4 more
AN

Astrid Noltemy

Isomer Capital

VC Firm
Seed Early Stage Investment Management SaaS Technology +2 more
RW

Rupert West

Puma Investments

Angel Investor
Seed Early Stage Internet Of Things Iot SaaS Energy Clean Tech +2 more
SJ

Seymour Jacobs

Angel / Independent

Angel Investor
Seed Real Estate Technology SaaS Technology +1 more
TR

Todd Rich

Declaration Partners LP

Angel Investor
Growth Big Data Investment Management SaaS +3 more
MU

Marcel Uhlemann

JCMB Beteiligungs GmbH

Corporate VC
Seed Early Stage Investment Management Personal Finance Internet Of Things Iot +6 more
DS

Dalibor Siroky

Angel / Independent

Angel Investor
Seed It Management Banking Human Resources +6 more
AK

Alec Kingham

Vitruvian Partners

Angel Investor
Early Stage Growth Investment Management SaaS Financial Services +3 more
TJ

Tommy Jabcoson

Zenith Group

Corporate VC
Seed Early Stage Big Data Investment Management Games Gaming +7 more
DC

David Cao

Angel / Independent

Angel Investor
Seed Investment Management Digital Health SaaS +7 more
SG

Stefan Grosjean

Angel / Independent

Angel Investor
Seed Real Estate Technology SaaS Semiconductor
MS

Myron Seto

Innovestor

Angel Investor
Seed Early Stage Investment Management Internet Of Things Iot Food Tech +7 more
MM

Michael Mahan

Stanley Ventures

VC Firm
Seed Early Stage Analytics Security Privacy Digital Health +7 more
RB

Rupert Brown

Palatine Venture Capital

VC Firm
Seed Early Stage Investment Management SaaS Financial Technology Fintech +6 more
JF

Jack Fennebresque

Trestle Partners

Angel Investor
Seed Early Stage Investment Management SaaS Enterprise Software
TB

Thomas Babcock

Trestle Partners

Angel Investor
Seed Early Stage Investment Management SaaS Enterprise Software
DC

Dan Corcoran

Massachusetts Capital Resource

VC Firm
Growth PE Growth/Expansion SaaS Financial Services Manufacturing +2 more
CF

Charles Figueiredo

Citadel LLC

Angel Investor
Growth SaaS Financial Technology Fintech Financial Services +2 more
CD

Chris Downie

Angel / Independent

Angel Investor
Seed Medical Professionals SaaS Cybersecurity +2 more
AC

Ashwath Chennapan

Veritas Capital

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