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
MS

Michael Smerklo

Next Coast Ventures

VC Firm
Seed Early Stage Marketplaces Social Commerce Hr Tech +7 more
AM

Abhishek Mohan

Sequoia Capital India

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

Timothy Wright

GrandBanks Capital

VC Firm
Seed Early Stage Investment Management Internet Of Things Iot SaaS +7 more
JC

James Colgan

Angel / Independent

Angel Investor
Seed SaaS Financial Technology Fintech Technology +1 more
KP

Kelly Perdew

Angel / Independent

Angel Investor
Seed Marketplaces Investment Management Data Databases +7 more
ST
Angel Investor
Early Stage Growth Investment Management Internet Of Things Iot Web Development +7 more
PM

Pal Malmros

Verdane

Angel Investor
Seed Early Stage Big Data Investment Management Consumer Internet +7 more
MS

Moshe Sarfaty

Angel / Independent

Angel Investor
Seed Small And Medium Businesses Investment Management Analytics +7 more
PB

Puneet Bhatia

Funding London Ltd

VC Firm
Seed Early Stage Big Data Marketplaces Ad Tech +7 more
PP

Peter Prans

Chestnut Hill Realty

Angel Investor
Seed Real Estate Technology SaaS Technology +1 more
NN

Nitin Nayar

Filter Capital

VC Firm
PE Growth/Expansion Education Technology Edtech SaaS Financial Technology Fintech +3 more
MF

Matthias Fink

Summa Equity

Angel Investor
PE Growth/Expansion Buyout Investment Management SaaS Technology +3 more
NK

Namratha Kothapalli

Angel / Independent

Angel Investor
Seed Small And Medium Businesses Investment Management Internet Of Things Iot +4 more
JE

James Elton

Bluebird Partners

Angel Investor
Seed Early Stage Big Data Investment Management Internet Of Things Iot +5 more
KB

Karam Butalia

KV Asia Capital

VC Firm
Growth Buyout Investment Management SaaS Consumer Products Services +7 more
BS
Angel Investor
PE Growth/Expansion Buyout SaaS Manufacturing Infrastructure
TP

Tomasz Poninski

Montis Capital, LLC

VC Firm
Growth PE Growth/Expansion Big Data Investment Management Digital Media +7 more
SS

Somar Somasegar

Madrona Venture Group

VC Firm
Seed Early Stage Crypto Web3 Blockchain Big Data Marketplaces +7 more
SS

Scott Sandell

Angel / Independent

Angel Investor
Seed Social Networking Healthcare Services Consumer Internet +3 more
WH

Will Heyward

Resurgens Technology Partners

Angel Investor
PE Growth/Expansion Buyout Big Data SaaS Financial Services +2 more
JC

Joyce Chung

Angel / Independent

Angel Investor
Seed Internet Of Things Iot SaaS Financial Services +1 more
MB

Mohit Bhatnagar

Sequoia Capital India

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

Bijan Vaez

Antler

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

Vlad Magdalin

Angel / Independent

Angel Investor
Seed Big Data It Management Games Gaming +1 more
SB

Samuel Bauer

Sequoia Capital India

VC Firm
Seed Early Stage Small And Medium Businesses Social Networking Healthcare Services +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.