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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.

"Software is eating the world,

but AI is going to eat software"

Jensen Huang, CEO Nvidia

THE FOUNDERS

RANDOM FOREST was founded by a team of experienced entrepreneurs, CEOs, and AI professionals. Harnessing our broad entrepreneurial, technological and operational experience, we established a boutique venture creation foundry with a special focus on Artificial Intelligence.

The founders serve as business and managerial mentors for the portfolio companies, bringing their experience and connections to mission-critical tasks.

Zeevi Bregman

Former CEO of Nice Systems

(NASDAQ Nice)

Gideon Bar Sinai

Former CEO of Final

(an Algo-trading Unicorn)

Michael Kerbis

Founder of Pontis

(acquired by Amdocs)

MEET THE TEAM

In today’s early-stage investment landscape, with increased numbers of startups and massive hype around disruptive technologies, we see the need for change in the way VCs evaluate companies and the way they onboard and support them.

Random Forest has considered these challenges seriously and consequently established a robust team of top talents. We have brought together a team of business professionals with the precise capabilities to grow our network, bring in the most inspiring entrepreneurs, and proactively discover unique investment opportunities.

Our team of in-house data scholars have deep, hands-on experience in leading and building projects and businesses in the fields of Deep Learning, Natural Language Processing and Predictive Modeling. Our unique team provides us with in-depth analysis to enhance our due-diligence process, as well as provides expert technology services to those we invest in, elevating their technology to achieve success.

Samantha

Harrison

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Marketing Executive

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

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.

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.

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.

OUR PORTFOLIO

BeaconCure accelerates regulatory approval by using specialized text analytics technology. During these times, as we see an increase in demand for FDA approval processes, BeaconCure is a game changer with its innovative use of big data.

MakeSense develops an artificial-intelligence-based technology to accurately and conveniently measure the nutritional value of meals, using available non-intrusive physiological sensors and without the need for manual logs in a food diary.

ReSight is building a visual index of the world, linking users, apps and mixed AR content to physical locations.

We capture the physical surrounding and embed augmented reality content in it, by building a live, crowd-sourced, 3D semantic map from all the users while not compromising their privacy.