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
QD

Qiang Dai

IDG Capital

VC Firm
Seed Early Stage Crypto Web3 Blockchain Investment Management Ad Tech +7 more
JS

Joseph Silvestri

Court Square Capital Partners

VC Firm
PE Growth/Expansion Buyout Investment Management Healthcare Digital Media +7 more
AB

Anders Brejner

GRO Capital

VC Firm
Buyout Investment Management Digital Health Internet Of Things Iot +7 more
EP

Edward Powers

HarbourVest Partners

Angel Investor
Early Stage Growth Investment Management Games Gaming InsurTech +7 more
BH

Brian Hermelin

Rockbridge Growth Equity, LLC

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

Matt Murphy

Angel / Independent

Angel Investor
Seed Cloud Infrastructure SaaS Developer Tools +3 more
JP

Joe Porten

Accel-KKR

Angel Investor
PE Growth/Expansion Buyout Investment Management Deep Information Technology SaaS +7 more
ML

Mitchel Laskey

Deepwork Capital

VC Firm
Seed Early Stage Vr Metaverse Big Data Biotechnology +7 more
MC

Matthew Caffrey

Livingbridge

Angel Investor
Seed Early Stage Investment Management Ad Tech 3d Technology +7 more
JT

John Tippins

Stonewood Capital Management

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

Cristian Olea

Angel / Independent

Angel Investor
Seed Crypto Web3 Blockchain Security Privacy Internet Of Things Iot +7 more
WK

Whitney Kelly

Berkshire Partners

Angel Investor
Early Stage Growth Investment Management Investments SaaS +7 more
DT

Dhruv Taneja

Angel / Independent

Angel Investor
Seed Storage Supply Chain Management SaaS +5 more
BS

Ben Shaw

Borealis Ventures

VC Firm
Seed Early Stage Investment Management Digital Health Deep Information Technology +7 more
KS

Kestutis Sasnauskas

Angel / Independent

Angel Investor
Seed Big Data Internet Of Things Iot InsurTech +7 more
JE

Jon Eide

Echo Health Ventures

VC Firm
Seed Early Stage Investment Management Healthcare Digital Health +6 more
JY

Jeacy Yan

IDG Capital

VC Firm
Seed Early Stage Crypto Web3 Blockchain Investment Management Ad Tech +7 more
ST

Stephen Tindall

The Tindall Foundation

Institutional Lp
Seed Mergers & Acquisitions SaaS Technology Media And Telecom Tmt
YL

Yuan Liu

Angel / Independent

Angel Investor
Seed Analytics Internet Of Things Iot Augmented Reality +7 more
JM

Justin McNichols

Angel / Independent

Angel Investor
Seed Education Technology Edtech SaaS Technology +1 more
KK
Angel Investor
Seed Early Stage Investment Management SaaS Financial Technology Fintech +5 more
NA

Nasir Ali

Angel / Independent

Angel Investor
Seed Crypto Web3 Blockchain Esports SaaS +7 more
NR

Neil Rimer

Index Ventures

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

Xuejun Xie

SAIF Partners

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

Carl Hefton

Six Pillars Partners

Angel Investor
PE Growth/Expansion Buyout Investment Management SaaS Manufacturing

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.