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
VR

Venkat Rangan

Angel / Independent

Angel Investor
Seed Ad Tech Nonprofits SaaS +3 more
JB

Josh Bois

Angel / Independent

Angel Investor
Seed Investment Management SaaS Technology +1 more
TS

Tobias Schirmer

JOIN CAPITAL

VC Firm
Seed Early Stage Vr Metaverse Big Data Investment Management +7 more
ZB
Angel Investor
Seed Early Stage Big Data Investment Management Biotechnology +6 more
HS

Hetal Shah

Virgo Capital

VC Firm
Seed Early Stage Investment Management Deep Information Technology SaaS +3 more
BS

Bob Spears

Shoreline Venture Management

VC Firm
Seed Early Stage Big Data Digital Health SaaS +5 more
GD

Gil Doukhan

Iris Capital

VC Firm
Seed Early Stage Vr Metaverse Big Data Investment Management +7 more
AG

Alec Gores

The Gores Group

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

Baturay Kaya

Earlybird Venture Capital

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

Gareth Price

Maven Capital Partners

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

Aaron Money

Friedman Fleischer & Lowe (ffl)

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

Kathy Eurich

Angel / Independent

Angel Investor
Seed Investment Management SaaS Technology +1 more
JC

Jon Cheek

Gryphon Investors

Angel Investor
PE Growth/Expansion Buyout Investment Management Personal Finance Healthcare +7 more
BS

Brock Saunders

Summit Action

Angel Investor
Seed Early Stage Investment Management SaaS Technology +1 more
LC

Laurent Catry

Intermediate Capital Group (ICG)

VC Firm
Early Stage PE Growth/Expansion Investment Management Real Estate Technology SaaS +7 more
PS

Paul Silber

Blu Venture Investors

VC Firm
Seed Early Stage Marketplaces Investment Management Internet Of Things Iot +7 more
CG

Chetan Gms

Stellaris Venture Partners

VC Firm
Seed Early Stage Vr Metaverse Big Data Digital Health +7 more
DB

Dan Burstein

Millennium Technology Value Partners

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

Robert Bernstone

Crestline Investors

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

Pieter Kemps

Sequoia Capital India

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

Andrew Crawford

General Atlantic

Angel Investor
Seed Early Stage Investment Management Personal Finance Investments +7 more
SQ
Angel Investor
Seed Early Stage Ventures For Good Ad Tech Insurance +7 more
MM

MichaIl Madar

Trilantic Europe

Angel Investor
Buyout Debt Investment Management Digital Health Ad Tech +7 more
CF

Christiane Felts

Pamlico Capital

VC Firm
PE Growth/Expansion Buyout Healthcare Internet Of Things Iot SaaS +3 more
RR

Richard Roggeveen

Waudcapital

VC Firm
Growth PE Growth/Expansion Investment Management Healthcare SaaS +4 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.