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RANDOM FOREST is a boutique early-stage fund.

We focus on market disruptive ventures, based on cutting-edge Machine Learning and Artificial Intelligence technologies.

Along with our in-house algorithm team and experienced partners, we provide a unique offering of support to those startups we choose to invest in.

MEET THE MANAGEMENT TEAM

In today’s early-stage investment landscape, with more startups, faster-moving technologies, and growing hype around AI and other disruptive fields, we believe investors need to go beyond traditional venture capital evaluation and support.

Random Forest is led by an experienced management team with deep backgrounds in technology, entrepreneurship, company building, and investing. We take an active, hands-on approach to working with our portfolio companies, supporting founders not only in strategic and business decisions, but also in the technological challenges that are often critical to building category-defining companies.

To complement our internal capabilities, we have built and actively manage a network of mathematicians, data scientists, AI experts, and other specialists who work closely with us when relevant. This gives us access to deep technical expertise across areas such as machine learning, deep learning, natural language processing, and predictive modeling.

Together, this combination of experienced leadership, technical depth, and close involvement with founders strengthens both our investment process and the support we provide after investing — from rigorous technical due diligence to helping portfolio companies navigate key product, technology, and growth decisions.

Gideon Bar-Sinai 
Investment Committee

Michael Kerbis

Managing Partner

Michael Kerbis

Managing Partner

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Zeevi Bregman Chairperson of the Investment Committee

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Gideon
Bar-Sinai
 
Investment Committee

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Michael Kerbis

Managing
Partner

Michael Kerbis 
Managing Partner

Michael Beer

Managing Partner

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Ami Dagan

 

Managing Partner

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Michael Beer

Managing Partner

Michael Beer
Managing Partner

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David Silverman


Venture Partner

OUR FOCUS

We invest in ventures with superior technologies at their very early stage of formation, led by extraordinary entrepreneurs who are passionate about disrupting the market in which they operate. We support entrepreneurs with Machine Learning development services to accelerate their development, allowing their venture to enjoy faster growth.

Unique Technology Leads to Unique Valuation
SELECT & BUILD

We have developed a two-step methodology for screening and building successful AI ventures

OUR FOCUS

SELECT

We identify good businesses with a data-technology barrier.

Our proprietary due-diligence process enables us to invest in winning ventures by deep diving into the business and data aspects.

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BUILD

Our data scholars team-up with our selected entrepreneurs.

In the 6 month team-up program, chosen entrepreneurs work together with our in-house data scholars to accelerate their ventures.

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AI
Data
Product
Market

Traditionally, we used to evaluate a “regular” software-based company on having the right talents, checking the company’s product and market, and ensuring the product fits the market and solves a big pain for its customers.

But, when it comes to evaluating AI companies, checking the same old product-market fit is just not enough. We now must also add data into the equation.

So instead of a product-market fit, we need to carefully check the Product-Market-Data (PMD) fit.

Data is now a big part of the equation, which calls for a paradigm shift in the way VCs invest.

technology
PORTFOLIO
PORTFOLIO
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careers

CAREERS

We are constantly looking for talented AI experts to enhance our partners and our research teams.

Data Scientist

PhD or MSc. in Physics, Mathematics, Computer Science, Statistics or Engineering from a top university

Experience in Machine-Learning or other Data Mining technologies

Excellent problem-solving capabilities with critical thinking skills

Enthusiastic and passionate for futuristic technology discoveries

Contact

CONTACT

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MAIN OFFICE

35 Ahad Ha'am st.

TEL-AVIV, ISRAEL

gal@randomforestvc.com

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