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
RB

Robert Bailey

XPV Water Partners

Angel Investor
Seed Early Stage Big Data Investment Management SaaS +3 more
CB

Christen Bergerud

Upscale Strategies

Angel Investor
Seed It Management SaaS Financial Technology Fintech +3 more
TW

Taylor Wood

Silver Oak Capital

VC Firm
PE Growth/Expansion Buyout Investment Management Space Travel Technology Hr Tech +3 more
VK

Victor Koosh

Angel / Independent

Angel Investor
Seed Small And Medium Businesses Marketplaces Analytics +7 more
DT

Des Traynor

Angel / Independent

Angel Investor
Seed SaaS Technology Media And Telecom Tmt
ML

Marc Latendresse

SRI International

Angel Investor
Seed Early Stage Big Data Internet Of Things Iot SaaS +7 more
XL

Xen Lategan

Angel / Independent

Angel Investor
Seed Email Analytics Sales Automation +7 more
PS

Piotr Sienkiewicz

Profound Ventures

VC Firm
Seed Early Stage SaaS Technology Media And Telecom Tmt +3 more
CO

Charlie O'Donnell

Brooklyn Bridge Ventures

VC Firm
Seed Biotechnology Hardware Real Estate Technology +7 more
RN

Rishi Narayan

Angel / Independent

Angel Investor
Seed Small And Medium Businesses Recruiting Email Marketing +7 more
JW

Jen Wege

Moodoos Investments

Angel Investor
Seed Early Stage Investment Management Education Technology Edtech SaaS +5 more
RX

Roland Xu

Warburg Pincus

Angel Investor
Seed Early Stage Investment Management Personal Finance Digital Health +7 more
PC

Pavithran Chidambaram

Angel / Independent

Angel Investor
Seed Investment Management Esports Space Travel Technology +7 more
MM

Merete Moller

Sunstone Life Science Ventures

VC Firm
Seed Early Stage Investment Management Education Technology Edtech SaaS +7 more
PW

Patrick Wan

SAIF Partners

Angel Investor
Seed Early Stage Big Data Investment Management Internet Of Things Iot +7 more
LH

Louis Hanover

Marathon Asset Management

Angel Investor
Growth Investment Management Real Estate Technology Emerging Markets +7 more
BL

Brent Leffel

Equity38

Angel Investor
Early Stage PE Growth/Expansion SaaS Manufacturing Technology +4 more
AM

Adrianna Ma

Index Ventures

VC Firm
Seed Early Stage Investment Management Personal Finance Insurance +7 more
PB

Pavel Bogdanov

Almaz Capital

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

Andrew Bartlow

Angel / Independent

Angel Investor
Seed Recruiting Business Automation Human Resources +7 more
JW

Jan Westerhues

Robert Bosch Venture Capital

VC Firm
Seed Early Stage Vr Metaverse Big Data Small And Medium Businesses +7 more
SB

Serafino Bueti

Morgan Stanley

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

Rajeev Goel

Angel / Independent

Angel Investor
Seed Big Data SaaS Technology +3 more
AH

Andy Hampshire

Gresham House Strategic Public Equity

Angel Investor
Seed Early Stage Big Data Internet Of Things Iot SaaS +5 more
MN

Marcel Nations

Tae Technologies, Inc

Angel Investor
Seed Early Stage Big Data SaaS Financial Technology Fintech +6 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.