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
RR

Riley Rodgers

Valia Ventures

VC Firm
Seed Early Stage SaaS Financial Technology Fintech Energy Clean Tech +2 more
KB

Katie Beckingham

August Equity

Angel Investor
Seed Early Stage Investment Management SaaS Cybersecurity +1 more
DW

David Wadhwani

Angel / Independent

Angel Investor
Seed It Management SaaS Artificial Intelligence Machine Learning +1 more
TK

Terence Kelly

Venture Management

VC Firm
Seed Early Stage Big Data Digital Health SaaS +4 more
KS

Kevin Sheehan

Morgan Stanley

Angel Investor
PE Growth/Expansion Buyout Investment Management Digital Health Internet Of Things Iot +7 more
FS

Fernando Spnola

Base Partners

Angel Investor
Growth PE Growth/Expansion Investment Management SaaS Technology +2 more
DM

Danielle Morrill

Angel / Independent

Angel Investor
Seed Social Networking Consumer Internet SaaS +5 more
PR

Peter Read

Vitruvian Partners

Angel Investor
Early Stage Growth Investment Management SaaS Financial Services +3 more
MH
Angel Investor
Seed Early Stage Vr Metaverse Big Data Internet Of Things Iot +7 more
CJ

Cholpon Jumashukurov

Highland Capital

VC Firm
Growth PE Growth/Expansion Food Tech Education Technology Edtech SaaS +4 more
SA

Stephan Ahern

KB Partners

Angel Investor
Seed Early Stage Vr Metaverse Investment Management Analytics +7 more
MA

Michael Abbott

Angel / Independent

Angel Investor
Seed SaaS Technology Media And Telecom Tmt
KA

Kasey Allen

Dakota Venture Group

VC Firm
Seed Early Stage Big Data Digital Health Internet Of Things Iot +6 more
MT

Martha Tracey

Crawley Ventures

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

Hussein Fazal

Snapcommerce

Angel Investor
Seed Early Stage Big Data Games Gaming Internet Of Things Iot +3 more
DS

Daniel Shaffer

S4 NetQuest

Angel Investor
PE Growth/Expansion Buyout SaaS Financial Technology Fintech Financial Services
NB

Nathan Bouknight

The University Of Alabama

Institutional Lp
Early Stage Growth SaaS Financial Technology Fintech Healthcare It
�H

�Fabian Heilemann

Earlybird Venture Capital

VC Firm
Seed Early Stage Small And Medium Businesses Marketplaces Investment Management +7 more
JB

Jim Borzilleri

Angel / Independent

Angel Investor
Seed Internet Mobile Advertising Crowdfunding +5 more
TT

Tyler Thompson

Second Century Ventures

VC Firm
Seed Early Stage Crypto Web3 Blockchain Big Data Investment Management +7 more
RK

Rebecca Krause

M2o, Inc.

Corporate VC
Pre-Seed Seed Big Data Internet Of Things Iot Real Estate Technology +7 more
JC

Jerume Chevalier

Quadrille Capital

VC Firm
Seed Early Stage Investment Management SaaS Financial Services +2 more
GS

Gayatri Sondhi

Multipoint Capital

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

Tom Melcher

Hearst

Angel Investor
Seed Early Stage Marketplaces Hr Tech SaaS +4 more
PH

Patrick Herlinger

LBBW Venture Capital

VC Firm
Seed Early Stage Big Data Digital Health Internet Of Things Iot +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.