PropTech Investors

Find PropTech investors actively deploying capital. VC Sift gives you direct access to email addresses and LinkedIn profiles for PropTech-focused venture capitalists, angels, and institutional investors at every stage.

3,913 investors
CC
London, UK Private Equity
Growth PropTech
AC
Private Equity
PropTech
CI
Winter Park, US VC Firm
PropTech
VA
Houston, US Private Equity
PropTech
BG
VC Firm
Fintech PropTech
AL
Las Rozas De Madrid, Spain VC Firm
PropTech
AC
VC Firm
Fintech PropTech
WC
VC Firm
Fintech PropTech
WL
West New York, US VC Firm
PropTech
AO
VC Firm
Fintech PropTech
3C
Jenks, US Private Equity
Fintech PropTech
AE
VC Firm
Fintech PropTech
SF
Chandler, US Private Equity
PropTech
PA
Toronto, Canada VC Firm
PropTech
WS
City Of London, UK VC Firm
PropTech
AE
Vancouver, Canada VC Firm
Fintech SaaS PropTech
MA
Private Equity
Series A PropTech
RM
Cocoa Beach, US VC Firm
PropTech
SI
East Hartford, US VC Firm
Fintech PropTech
AN
Carmel Valley, US VC Firm
PropTech
C-
Private Equity
PropTech
UL
Gibraltar, Gibraltar VC Firm
Fintech PropTech
AC
San Diego, US VC Firm
Fintech PropTech
KC
New York, US VC Firm
PropTech
RI
Vienna, US Private Equity
PropTech

Frequently Asked Questions about Institutional LP Investors

VC Sift maintains a comprehensive list of PropTech investors across all stages, from pre-seed angels to growth-stage VC firms. Our database includes verified contact information for each investor.
The PropTech 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 PropTech investor contacts per month as a CSV file. Pro subscribers have unlimited exports.
Combine the PropTech 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.