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
JE

Jami Emory

Citi Ventures

VC Firm
Seed Early Stage Analytics Security Privacy Insurance +7 more
ES

Eduardo Shoval

Cognitiv Ventures

VC Firm
Seed Early Stage Big Data Internet Of Things Iot Augmented Reality +7 more
MQ

Momei Qu

ptffoundation.org

Institutional Lp
Early Stage Growth Investment Management Real Estate Technology SaaS +7 more
GD

Gil Dibner

Angular Ventures

VC Firm
Seed Early Stage SaaS Artificial Intelligence Machine Learning Financial Services +1 more
AF

Andrew Ferguson

Maven Capital Partners

VC Firm
Seed Early Stage Vr Metaverse Project Management Investment Management +7 more
AB

Anton Bernstein

Angel / Independent

Angel Investor
Seed Big Data Mobile Games Apps +6 more
GS

Greg Sheldon

ABRY Partners

Angel Investor
Growth Other Investment Management Healthcare SaaS +7 more
SS

Semil Shah

Angel / Independent

Angel Investor
Seed Marketplaces Internet Of Things Iot Cloud Infrastructure +4 more
NG

Neil Garfinkel

Francisco Partners

Angel Investor
Seed Early Stage Investment Management Deep Information Technology SaaS +7 more
HJ

Hans Janssen

Angel / Independent

Angel Investor
Seed Investment Management SaaS Technology +1 more
GC

Garry Cooper

Angel / Independent

Angel Investor
Seed Marketplaces SaaS Enterprise Software +1 more
CO

Charlie O'Donnell

Angel / Independent

Angel Investor
Seed Hardware Food Beverage Mobility And Micro Mobility +7 more
AC
Angel Investor
Seed Early Stage Big Data Investment Management Healthcare +7 more
MH

Mike Hoang

CapMan

Angel Investor
Early Stage Growth Investment Management Internet Of Things Iot Web Development +7 more
HS

Halley Sloane

Aurora Capital Partners

VC Firm
PE Growth/Expansion Buyout Investment Management Healthcare Digital Health +7 more
JS

Jim Schneider

Lead Edge Capital

VC Firm
Seed Early Stage Vr Metaverse Investment Management Digital Health +7 more
MW
Angel Investor
Seed Early Stage Ventures For Good Ad Tech Insurance +7 more
KT

Ken Tighe

India Venture Partners

VC Firm
Seed Early Stage Big Data Internet Of Things Iot Real Estate Technology +5 more
AK

Ali Kassab

AKA Partners

Angel Investor
Seed Early Stage Crypto Web3 Blockchain SaaS Artificial Intelligence Machine Learning +2 more
JP

John Pacifico

Angel / Independent

Angel Investor
Seed Investment Management Healthcare Services SaaS +1 more
BS

Bryan Schreier

Sequoia Capital India

VC Firm
Seed Early Stage Small And Medium Businesses Social Networking Healthcare Services +7 more
ES

Evan Schnurmacher

Phyto Partners

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

Jonathan Kelemen

The Beekman Group

Corporate VC
PE Growth/Expansion Buyout Investment Management Healthcare Ad Tech +7 more
RH

Rob Hooke

SS&C Advent

Angel Investor
PE Growth/Expansion Buyout Games Gaming Internet Of Things Iot Education Technology Edtech +7 more
KT

Kristen Tilley

Guidepost Growth Equity

Angel Investor
Seed Early Stage Marketing Investment Management 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.