InsurTech Investors

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

2,416 investors
JW

Joanne Wong

REDDS Capital

VC Firm
Seed Early Stage Crypto Web3 Blockchain Internet Of Things Iot Mobile Commerce +7 more
AR

Art Roldan

RPM Ventures

VC Firm
Seed Early Stage Investment Management Ad Tech Real Estate Technology +7 more
JH

Jun Hosoya

Intervalley Ventures

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

Joseph Wei

SkyChee Ventures

VC Firm
Seed Early Stage Crypto Web3 Blockchain Big Data Ad Tech +7 more
TB

Tom Beauchamp

Surge Private Equity

Angel Investor
PE Growth/Expansion Buyout Ad Tech InsurTech Audio Audiotech +7 more
DM

David Merry

Kinetic Investments

Angel Investor
Seed Early Stage Internet Games Gaming InsurTech +4 more
BH

Brian Hopcraft

Lewis & Clark Ventures

VC Firm
Seed Early Stage Big Data Investment Management Digital Health +7 more
RG

Romain Grimal

BlackFin Capital Partners

VC Firm
Seed Early Stage Big Data Investment Management Internet Of Things Iot +7 more
JG

Jay Ganatra

Angel / Independent

Angel Investor
Seed Big Data Internet Of Things Iot Reviews And Recommendations +7 more
JM

James Manzi

Angel / Independent

Angel Investor
Seed Big Data It Management Ad Tech +7 more
JP

Jambu Palaniappan

OMERS Ventures

VC Firm
Seed Early Stage Vr Metaverse Crypto Web3 Blockchain Investment Management +7 more
SL

Sami Lampinen

Inventure

VC Firm
Seed Early Stage Investment Management Ad Tech Internet Of Things Iot +7 more
GS

Gail Smith

Children's Best Interest Project

Angel Investor
Seed Early Stage Vr Metaverse Big Data Internet Of Things Iot +7 more
MB

Michael Barben

Partners Group

Corporate VC
Seed PE Growth/Expansion Internet Of Things Iot Space Travel Technology InsurTech +7 more
TC
Angel Investor
Seed Early Stage Vr Metaverse Big Data Investment Management +7 more
ML

May Lee-Shah

Corsair Capital

VC Firm
Growth PE Growth/Expansion Investment Management Mobile Commerce InsurTech +7 more
SB
Angel Investor
Growth PE Growth/Expansion Crypto Web3 Blockchain Big Data InsurTech +7 more
DV

David Ventzel

graduatelandboss

Angel Investor
Seed Early Stage Big Data Digital Health Ad Tech +7 more
HB

Henry Bendit

Odyssey Investment Partners

Angel Investor
Early Stage Growth Investment Management InsurTech Financial Technology Fintech +7 more
AD

Alex Davis

Friedman Fleischer & Lowe (ffl)

Angel Investor
PE Growth/Expansion Buyout Big Data Investment Management Healthcare +7 more
MH

Michael Hock

Finleap

Angel Investor
Seed Early Stage InsurTech SaaS Financial Technology Fintech +2 more
JP

James Pinner

NZ Growth Capital Partners

VC Firm
Seed Early Stage Big Data Digital Health Internet Of Things Iot +6 more
BE

Beth Engel

Dundee Venture Capital

VC Firm
Seed Early Stage Vr Metaverse Investment Management Consumer Internet +7 more
MB
Angel Investor
Growth PE Growth/Expansion Crypto Web3 Blockchain Big Data InsurTech +7 more
DR

Daniel Rosen

Commerce Ventures

VC Firm
Seed Early Stage Small And Medium Businesses Investment Management Security Privacy +7 more

Frequently Asked Questions about Institutional LP Investors

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