Personal Data Investors

38 investors found · Find Personal Data investors actively deploying capital. VC Sift gives you direct access to email ad…

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

38 investors
AR

Adam Riggs

Angel / Independent

Angel Investor
Seed Personal Data Consumer Internet Deep Information Technology +6 more
AD

Anil Dash

Angel / Independent

Angel Investor
Seed Cloud Data Services Personal Data Biotechnology +7 more
MD

Matthew Douglass

Angel / Independent

Angel Investor
Seed Marketplaces Cloud Data Services Personal Data +7 more
RS

Rich Schmelzer

Angel / Independent

Angel Investor
Seed Marketplaces Personal Data Personal Finance +7 more
JR

John Roa

Angel / Independent

Angel Investor
Seed Ventures for Good Big Data Marketplaces +7 more
BE

Bryce Emo

Angel / Independent

Angel Investor
Seed Big Data Market Research Personal Data +5 more
SM

Stephane Marceau

Angel / Independent

Angel Investor
Seed Personal Data Healthcare Digital Media +7 more
DD

Derek Dukes

Angel / Independent

Angel Investor
Seed Personal Data Politics Photography +7 more
AV

Alex Vartan

Angel / Independent

Angel Investor
Seed Crypto / Web3 / Blockchain Brand Marketing Email +7 more
JW

Joe Wadcan

Angel / Independent

Angel Investor
Seed Marketplaces Analytics Personal Data +7 more
BM

Brennan Moore

Angel / Independent

Angel Investor
Seed Personal Data Personal Healthcare Personalization +1 more
JP

Jack Peterson

Angel / Independent

Angel Investor
Seed Personal Data Golf Equipment Internet of Things (IOT) +7 more
JH

Joe Heitzeberg

Angel / Independent

Angel Investor
Seed Virtual Workforces Personal Data Security & Privacy +7 more
GP

Greg Porter

Angel / Independent

Angel Investor
Seed Big Data Personal Data Healthcare +7 more
CW

Craig Weissman

Angel / Independent

Angel Investor
Seed Visualization & Visual Search Big Data Investment Management +7 more
HT

Halle Tecco

Angel / Independent

Angel Investor
Seed Ventures for Good Big Data Marketplaces +7 more
BC

Bruce Crair

Angel / Independent

Angel Investor
Seed Sales and Marketing Personal Data Sales Automation +7 more
KK

Kriss Kirchhoff

Angel / Independent

Angel Investor
Seed Drones Personal Data Biotechnology +7 more
KS

Kevin Surace

Angel / Independent

Angel Investor
Seed Crypto / Web3 / Blockchain Marketplaces Personal Data +7 more
RG

Rob Gabel

Angel / Independent

Angel Investor
Seed Online Video Advertising Investment Management Personal Data +7 more
SS

Scott Sheridan

Angel / Independent

Angel Investor
Seed Big Data Brand Marketing Market Research +7 more
DR

Daniel Reeves

Angel / Independent

Angel Investor
Seed Personal Data Personal Healthcare Fitness +3 more
JC

Jerry Camp

Angel / Independent

Angel Investor
Seed Visualization & Visual Search Big Data Marketplaces +7 more
FD

François Derbaix

Angel / Independent

Angel Investor
Seed Visualization & Visual Search Social Media Marketing & Advertising Analytics +7 more
JL

Jeffrey Liaw

Angel / Independent

Angel Investor
Seed Personal Data Personal Finance Photography +7 more

Frequently Asked Questions about Institutional LP Investors

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