Pavel Livshiz

General Partner, Hetz Ventures
Pavel Livshiz, an aerospace engineer and ex-elite Israeli tech‑intel officer with Goldman, Bain and IoT CMO experience, takes a hands‑on, carry‑the‑log approach and leverages a 150+ Fortune‑1000 expert network.
How to contact Pavel Livshiz
Stages their fund invests in
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Sectors their fund invests in
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Avg Check
$1M - $10M
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Does their fund Lead?
Yes
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Geos their fund invests in
Israel, Europe, USA
Pavel Livshiz
Stages their fund invests in
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Sectors their fund invests in
AI
Cybersecurity
Devtools
Enterprise
Fintech
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Avg Check
$1M - $10M
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Leads?
Yes
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About Pavel Livshiz

Pavel Livshiz is an aerospace engineer who spent over nine years in elite Israeli technological intelligence units before cycling through investment banking at Goldman Sachs, strategic consulting at Bain & Company, and a CMO role at an Israeli IoT startup, giving him unusually broad operational experience across engineering, defense-tech, and business functions. He approaches investing with a log PT philosophy, seeing himself as carrying the log with founders rather than shouting from the sidelines, and has built a curated network of 150+ Fortune 1000 experts who work systematically with Hetz's portfolio companies to accelerate enterprise sales and product-market fit.

About their Fund

Hetz Ventures

Sectors
AI, Cybersecurity, Devtools, Enterprise, Fintech
Rounds
Pre-Seed - Seed
Avg Check Size
$1M - $10M

Hetz Ventures is a seed-stage VC where the entire investment team consists of ex-engineers with deep infrastructure backgrounds, deliberately built so partners resemble the highly technical founders they back rather than generalist financiers, and they operate with an unusually startup-like internal culture where everyone sits in the same open room and decisions are made transparently in group brainstorms. They specialize narrowly in infrastructure software and have built a proprietary network of roughly 120-150 senior data, AI, and infrastructure executives who behave like an extended team for product validation and early sales, while running a highly structured, data-instrumented deal funnel that they treat as an optimization problem rather than an informal craft.

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