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
DW

Dan Watkins

Mercury Fund

VC Firm
Seed Early Stage Big Data Investment Management SaaS +5 more
JS

John Siegel

Columbia Capital

VC Firm
Seed Early Stage Investment Management Ad Tech Internet Of Things Iot +7 more
BV
Angel Investor
Seed Early Stage Nanotechnology SaaS Energy Clean Tech +7 more
NW

Neil Wolff

Oxford Angel Fund

Angel Investor
Seed Early Stage Investment Management Biotechnology Digital Health +7 more
MG

Mitchell Green

Lead Edge Capital

VC Firm
Seed Early Stage Vr Metaverse Investment Management Digital Health +7 more
PG

Paulo Gaspar

Angel / Independent

Angel Investor
Seed SaaS Artificial Intelligence Machine Learning Health Wellness Lohas
AK

Andre Koshelev

Credit Suisse

Angel Investor
Early Stage Growth Banking SaaS Financial Technology Fintech +5 more
PC

Peter Carrescia

Angel / Independent

Angel Investor
Seed Investments SaaS Financial Technology Fintech +3 more
DO
Angel Investor
Seed Early Stage Investment Management Food Beverage SaaS +7 more
JA

Joseph Angotti

Angel / Independent

Angel Investor
Seed Investment Management SaaS
KN

Ken Neeld

Exus Management Partners

Angel Investor
Early Stage Growth Construction SaaS Technology +1 more
AT

Andrew Tisdale

Providence Equity Partners

Angel Investor
Early Stage Growth Investment Management Games Gaming Nanotechnology +7 more
DR

Dan Re'Em

Angel / Independent

Angel Investor
Seed Bicycles Cloud Computing SaaS +6 more
AD

Alex Didych

Crestline Investors

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

Yacine Saidji

Morgan Stanley

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

Carl Novotny

Venture Capital Fund of New England

VC Firm
Seed Early Stage Investment Management Personal Finance Investments +6 more
RM

Ryan McLoughlin

MTech Capital

VC Firm
Seed Early Stage Investment Management InsurTech SaaS +4 more
RT

Rene Tomova

Eleven Ventures

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

Kevin Wilson

Cloud Equity Group

Corporate VC
PE Growth/Expansion Buyout Investment Management SaaS Technology +1 more
PE

Paul Evans

Ironbridge Capital

VC Firm
Growth Buyout 3d Technology SaaS Financial Technology Fintech +5 more
NA

Nino Attanasio

Angel / Independent

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

Cenydd Rowlands

Development Bank of Wales

Angel Investor
Seed Growth Vr Metaverse Banking Internet Of Things Iot +7 more
CC

Chris Colecchi

Broadview Ventures Inc

VC Firm
Seed Early Stage Investment Management Digital Health Medicine +7 more
DL

DaniIl Langerveld

Endeit Capital

VC Firm
Seed Early Stage Marketing Investment Management Digital Media +7 more
JK

James Kenefick

Azafran Capital Partners

VC Firm
Seed Early Stage Analytics Biotechnology 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.