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Pecan

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An automated AI-based predictive analytics platform that simplifies and speeds the process of building and deploying predictive models

Tel Aviv-Yafo, IsraelFounded 2016AI
Valuation $250–500M Last recorded · 2022
Revenue $10–50M Latest reported FY
Headcount <100 Current team size
Total funding $100–500M Disclosed equity funding
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About Pecan

Pecan AI, founded in Tel Aviv in 2018, offers a predictive analytics platform designed to make machine learning accessible to business intelligence (BI) analysts and business teams without requiring data scientists. The company was established by CEO Dr. Zohar Bronfman and CTO Dr. Noam Brezis, who met during their PhD studies in computational neuroscience and cognitive sciences at Tel Aviv University. Their academic research into brain processes using machine learning sparked the idea to develop a SaaS platform that empowers SQL-oriented analysts with full data science capabilities. The concept for Pecan originated when the founders built a prototype to automate data preparation for a data science competition.

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The company's core offering is a low-code platform that automates the entire predictive analytics workflow, from data preparation to model deployment. It allows users to connect directly to raw, messy data sources, and the platform automatically handles cleaning, feature engineering, and model training using neural networks. This significantly reduces the time to generate insights, with models becoming operational in days rather than months. Pecan's key innovation is its "Predictive GenAI," which combines generative AI with predictive AI. This feature includes a "Predictive Chat" that guides users through defining a business problem in natural language and a "Predictive Notebook" that auto-generates the necessary SQL queries to build a custom model.

Pecan operates on a subscription-based model, generating revenue by providing access to its platform. It targets a wide array of industries, including fintech, retail, insurance, CPG, and mobile gaming, serving clients of all sizes. Use cases are diverse, focusing on revenue-impacting outcomes such as predicting customer churn, demand forecasting, identifying upselling opportunities, fraud prevention, and calculating customer lifetime value. By empowering business analysts to create and deploy their own predictive models, Pecan aims to bridge the data science scarcity gap and enable organizations to compete with tech giants. The company has secured substantial funding, including a $66 million Series C round in February 2022, bringing its total funding to over $100 million from investors like Insight Partners, GGV Capital, and Google Ventures.

Source: Dealroom company data

At a glance

Founded
2016
Headquarters
Tel Aviv-Yafo, Israel
Sector
AI
Power Law
Colt$25–100M revenue

Latest news

Press, funding announcements and product moves mentioning Pecan.

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Investors

6 investors on the cap table

From Dealroom's funding and investor records, grouped by the round each investor first entered.

Seed1 investor entered at this stage

  • S Capital

Series A4 investors entered at this stage

Series B and later1 investor entered at this stage

Employees mapped 87 incl. 10 AI specialists
Founders Hidden — book a demo/100 quality score
Key operators 10 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
6 countries with
team presence
🇮🇱 Israel73.7%
🇺🇸 United States18.4%
🇬🇧 United Kingdom2.6%
🇿🇦 South Africa2.6%
🇩🇪 Germany1.3%
Top 5 of 6 shown
Web traffic by country
36K monthly visits
across markets
🇺🇸 United States16.1%
🇳🇬 Nigeria10.3%
🇦🇺 Australia8.3%
🇮🇳 India7.2%
🇬🇧 United Kingdom6.4%
Top 5 markets shown

Market sentiment

Posts on X, past 7 days

An AI-synthesised read of the highest-engagement posts about Pecan on X, ranked by likes and reposts, corporate channels excluded.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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