Jonathan Pulitzer
General Partner at Corner Ventures
Israel
Invests in
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Min Investment:
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Skills
Education
- NY
Lists including Jonathan
Investments
Work Experience
2020
General Partner, Israel
2020
Partner at Corner Ventures leading the Israeli investment office for the Silicon Valley based fund. Our strategy is to deploy strategic early-growth capital into leading technology companies led by top-tier founders that are building disruptive, and next-generation iconic businesses. We are a service-oriented partner and focus on contributing our extensive expertise and strategic relationships to help drive long-term value, investing in companies at key inflection points in their lifecycle, while supporting them to realize their full potential at a global scale. Investments include Melio, Marble, Neuroblade, Sorbet, Q, Beewise, Cymbio, Sightful, Bookaway, Healthy.io, NextSilicon, Superlegal, Grappa, and more.
2018
Kauffman Fellow
2018
Exclusive venture capital network and fellowship
2017 - 2021
Board Observer
2017 - 2021
AI driven software on top of dash-cams to identify and index road objects with live images of the roads
2017 - 2020
Investor
2017 - 2020
Platform for real-time data ingestion and processing focused on big data for enterprises
2017 - 2020
Board Observer
2017 - 2020
Online international freight marketplace creating a seamless booking and tracking experience for the $1T+ freight industry
2016 - 2020
Board Member
2016 - 2020
Co-founder, investment committee member, and board member at IoT seed stage fund alongside other large multi-national corporations
2015 - 2020
Board Observer
2015 - 2020
Command and control IoT software company for applications including from missile defense (Iron Dome), energy utilities, and smart cities
2015 - 2020
Board Observer
2015 - 2020
Advanced threat prevention cyber security company
2015 - 2020
Board Observer
2015 - 2020
AI solution for energy savings for telecom networks, data centers and energy grids
2013 - 2020
Investor
2013 - 2020
AI and machine learning solution for big data anomaly detection