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
PM

Parker Macdonell

Rev1 Ventures

VC Firm
Seed Crypto Web3 Blockchain Insurance Food Beverage +6 more
SS

Sangita Subramanian

Family Office

Family Office
PE Growth/Expansion Buyout Investment Management Personal Finance Banking +6 more
CP

Corey Pigott

Angel / Independent

Angel Investor
Seed Crypto Web3 Blockchain Analytics Internet Of Things Iot +6 more
JH

Jan Haase

Vitruvian Partners

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

Songe Laron

Angel / Independent

Angel Investor
Seed SaaS Developer Tools
AH

Austin Hill

Angel / Independent

Angel Investor
Seed Small And Medium Businesses Marketplaces Healthcare +7 more
AA

Amir Aviv

Angel / Independent

Angel Investor
Seed Big Data Investment Management Internet Of Things Iot +7 more
SP

Steven Pozarycki

Angel / Independent

Angel Investor
Seed Healthcare Consumer Internet Investments +6 more
MK

Milan Koch

MANTIS Venture Capital

VC Firm
Seed Early Stage Crypto Web3 Blockchain Marketplaces Analytics +7 more
KH

Kenny Heitner

Consolidated Technologies Holding

Angel Investor
Mergers & Acquisitions Big Data Internet Of Things Iot SaaS
SM

Stuart Mathieson

Babson Capital Management

VC Firm
Growth Other Deep Information Technology SaaS Financial Services +6 more
CB

Clemens Baumgart

Harmony Partners

Angel Investor
Seed Early Stage Investment Management Personal Finance Social Networking +7 more
AA

Anthony Abena

Seven Peaks Ventures

VC Firm
Seed Early Stage Healthcare Digital Media Digital Health +7 more
JP

Julio Polanco

Polfitz Ventures LLC

VC Firm
Seed Early Stage SaaS Cybersecurity Technology +2 more
QD

Quang Dinh

Chasing Unicorns

Angel Investor
Seed Early Stage Big Data Internet Of Things Iot SaaS +2 more
KC

Kirsten Connell

Octopus Ventures

VC Firm
Seed Early Stage Vr Metaverse Crypto Web3 Blockchain Investment Management +7 more
BE

Bill Earner

Connect Ventures

VC Firm
Seed Early Stage Big Data Investment Management Digital Health +7 more
AW

Aldebert Wiersinga

Angel / Independent

Angel Investor
Seed Investment Management Internet Of Things Iot Nanotechnology +7 more
NJ

Nigel Jones

TWJ Capital

VC Firm
Seed Early Stage SaaS Technology Media And Telecom Tmt +1 more
RS

Robert-Jan Smits

Eindhoven University of Technology Endowment

Institutional Lp
Seed Education Technology Edtech SaaS Technology +1 more
CG

Christopher Golio

Crestline Investors

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

Laurent Vernier

Pleiade Venture

VC Firm
Seed Early Stage Big Data Ad Tech SaaS +3 more
YG

Yu Gao

Morgan Stanley

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

Stephan Stubner

Monkfish Equity

Angel Investor
Seed Early Stage Internet Of Things Iot Utilities SaaS +4 more
SF

Scott Fox

Angel / Independent

Angel Investor
Seed Small And Medium Businesses Marketplaces 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.