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Random Forest VC is a boutique early-stage venture capital fund based in Tel Aviv, Israel. Founded around 2018, the firm specializes in navigating the evolving landscape of early-stage investments, particularly in the fields of Artificial Intelligence (AI) and Machine Learning (ML). The organization targets market-disruptive ventures that utilize advanced technologies to transform their respective industries.
The fund currently operates with a focus on pre-seed, seed, seed+, and Series A stages, emphasizing the importance of Product-Market-Data (PMD) fit in AI companies. Random Forest VC employs a proprietary two-step methodology for screening and building successful ventures, which includes identifying businesses with a data-technology barrier and collaborating with entrepreneurs to accelerate their development through a structured program.
As of now, the firm has not publicly disclosed its total assets under management (AUM) or the exact number of funds it operates. However, it is recognized as an active player in the Israeli venture capital scene, particularly in the AI and healthcare sectors.
Random Forest VC invests primarily in early-stage ventures that demonstrate superior technologies and are led by visionary entrepreneurs. The firm focuses on sectors such as AI and healthcare, employing a two-step methodology for venture selection and development. This methodology consists of a proprietary due-diligence process to identify businesses with a data-technology barrier, followed by a collaborative six-month program where in-house data scholars assist in accelerating the development of selected ventures.
The fund typically invests between $300,000 and $700,000 at the idea, pre-seed, and seed stages. Random Forest VC emphasizes the critical nature of achieving Product-Market-Data fit, recognizing that data is a vital component in the investment evaluation process. The firm is primarily focused on the Israeli market but remains open to international opportunities.
Random Forest VC has built a notable portfolio of companies that leverage AI and ML technologies. Key portfolio companies include:
These companies exemplify the fund's commitment to investing in ventures that utilize advanced technologies to disrupt their respective markets.
Zeevi Bregman - Founder and Chairperson of the Investment Committee. Bregman has extensive experience in venture capital and entrepreneurship, providing strategic guidance to portfolio companies.
Gideon Bar-Sinai - Founder and Chairperson of the Investment Committee. Bar-Sinai is known for his expertise in technology investments and has a strong background in mentoring startups.
Michael Kerbis - Founding Managing Partner & Investment Committee Member. Kerbis brings a wealth of experience in managing venture funds and has led numerous successful investments in the tech sector.
Ami Dagan - Managing Partner and Member of the Investment Committee. Dagan has a solid track record in early-stage investments and is actively involved in supporting portfolio companies.
To pitch Random Forest VC, founders should reach out via email at asaf@randomforestvc.com. It is essential to include a comprehensive pitch deck that outlines the business model, technology, market opportunity, and team background. The firm appreciates clarity and detail in presentations.
Response times may vary, but founders should expect to hear back within a few weeks. Warm introductions are beneficial but not mandatory. The firm encourages direct outreach from entrepreneurs who align with their investment focus.
Random Forest VC runs a structured six-month program designed to accelerate the development of selected ventures. This program includes collaboration with in-house data scholars who provide operational support and expertise in AI and ML technologies.
Eligibility for the program typically includes being an early-stage venture that demonstrates a data-technology barrier and has a clear vision for market disruption. Founders interested in applying should reach out via email to inquire about the application process.
In September 2023, Random Forest VC invested $10 million in QbiqAI, a company specializing in generative AI for real estate. In July 2023, they provided $5.9 million in a SAFE round for FeelBetter, which focuses on polypharmacy patient management. Additionally, in January 2024, the firm invested $1.3 million in Eyecuracy, an AI-powered eye tracking solution. Most recently, in July 2024, they committed $3 million in pre-seed funding to Quai MD, an AI-based best-practices platform.
These investments highlight Random Forest VC's active engagement in the AI and healthcare sectors, reinforcing their commitment to supporting innovative startups.
What are the investment criteria for Random Forest VC?
Random Forest VC focuses on early-stage ventures that leverage advanced AI and ML technologies. They look for companies that demonstrate a data-technology barrier and are led by visionary entrepreneurs.
How can founders apply or pitch to Random Forest VC?
Founders can pitch their ideas via email at asaf@randomforestvc.com. It is advisable to include a detailed deck that outlines the business model, technology, and market potential.
What makes Random Forest VC different from other venture capital firms?
Random Forest VC distinguishes itself by combining capital investment with operational support through a six-month program where in-house data scholars assist in venture development. This dual approach enhances the likelihood of achieving Product-Market-Data fit.
What is the geographic scope of Random Forest VC's investments?
The firm primarily focuses on the Israeli market, particularly in Tel Aviv, but is open to international opportunities, especially in sectors related to AI and healthcare.
What is the typical check size for investments?
Random Forest VC typically invests between $300,000 and $700,000 at the idea, pre-seed, and seed stages.
What kind of post-investment involvement does Random Forest VC have?
The firm provides operational support through its six-month program, which includes collaboration with in-house data scholars to help startups refine their product and market strategies.
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