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
MO
Stockholm, Sweden Private Equity
Fintech SaaS
CO
New York, US VC Firm
SaaS
RS
Boston, US VC Firm
SaaS
ZA
Shanghai, China VC Firm
SaaS MarTech
JE
Singapore, Singapore VC Firm
Fintech SaaS
PE
Boulder, US VC Firm
SaaS
XA
Singapore, Singapore VC Firm
Fintech SaaS Crypto/Web3
DR
Santa Clara, US VC Firm
SaaS
SO
London, UK VC Firm
Fintech SaaS
PA
Istanbul, Turkey VC Firm
Fintech SaaS
CL
Beijing, China VC Firm
AI/ML SaaS
FV
VC Firm
SaaS
YU
Suzhou, China VC Firm
SaaS
AA
Mainz, Germany VC Firm
SaaS
NE
North Miami Beach, US VC Firm
Fintech SaaS
CS
Toronto, Canada VC Firm
SaaS
WE
San Francisco, US VC Firm
AI/ML SaaS CleanTech
QB
Phoenix, US VC Firm
AI/ML SaaS
IN
New York, US VC Firm
SaaS
QU
Bagneux, France VC Firm
Fintech SaaS InsurTech
ET
Paris, France VC Firm
AI/ML SaaS
BI
Los Angeles, US VC Firm
SaaS
UN
Sterling, US VC Firm
SaaS
XD
Edison, US VC Firm
SaaS
NS
New York, US VC Firm
SaaS

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.