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Pecan AI

Founded 2018 · 88 employees on LinkedIn · 11 known investors

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Pecan is a predictive analytics platform that connects to data warehouses, databases, CRMs, files, and analytics/attribution sources through built-in integrations to support machine learning use cases.

Also known as Pecan · Pecan AI

Founders & leadership

Pecan AI was founded in 2018 by Zohar Bronfman.

ZBZohar Bronfman
Zohar BronfmaninCo-Founder and CEOZohar Bronfman holds dual PhDs in philosophy and computational neuroscience and founded Pecan AI, a predictive analytics platform that integrates with data warehouses, databases, and CRMs to enable machine learning workflows. He has contributed to Forbes Technology Council.

Board

THTrevor Healy
Trevor HealyinExecutive Chairman

Investors · 11

Also in the syndicate · 2

Mindset VenturesS-Capital

Funding

SEC filings, press & company announcements

$101M disclosed across 2 of 4 rounds · 2021–2022

Source: company announcements and press reports — follow each round's link for the claim.

Company profile

researched Aug 2026

Pecan AI develops a predictive analytics and predictive-modeling platform aimed at business intelligence analysts and non-technical business users rather than data scientists. The product, positioned as a "predictive AI agent" (earlier marketed as a low-code predictive modeling platform and, from 2025, a predictive "co-pilot"), connects to a customer's existing data warehouses, databases, CRMs and files through built-in connectors, runs an automated ETL and data-preparation step, generates SQL and engineered features, then trains, validates and evaluates models with data-science guardrails. Model performance is explained in business terms and natural language, and predictions are scheduled and pushed back into the customer's CRM, data warehouse or other operational systems rather than a separate dashboard. Users can also query predictions conversationally to generate insights and visualizations [0][1][2][4].

Supported use cases include customer churn prediction, customer lifetime value modeling, lead scoring, demand and inventory forecasting, upsell and cross-sell targeting, customer winback, fraud and chargeback prevention, and campaign ROAS prediction. Listed integrations span Snowflake, Databricks, Google BigQuery, Amazon Redshift, AWS S3, GCS/Parquet, Clickhouse, MySQL, PostgreSQL, Microsoft SQL, Oracle, IBM Db2, Salesforce, HubSpot, Firebase, and mobile attribution tools including Adjust, AppsFlyer and Singular [0][1][2]. The company also markets a related demand-forecasting offering, DemandForecast.ai [4]. Pecan states it maintains encryption and internal compartmentalization, endpoint and network protection measures for customer data [2].

Pecan was founded in 2018 by Zohar Bronfman (CEO) and Noam Brezis, who met during PhD studies in computational neuroscience at Tel Aviv University and are both alumni of IDF Unit 8200. The company operates from New York and Tel Aviv [5][6]. In February 2025 it appointed Trevor Healy as Executive Chairman and Andy Walter, a former Procter & Gamble CIO, to its advisory board [4].

Founding story

Pecan was founded in 2018 by Zohar Bronfman and Noam Brezis, who met while pursuing PhDs in computational neuroscience at Tel Aviv University; both are alumni of the Israeli military's Unit 8200. Bronfman serves as CEO [5][6].

Business model

Pecan sells its predictive analytics platform as software to companies, with pricing and demo-request paths on its website and a listing as a seller on AWS Marketplace for SaaS procurement [0][1][3]. The value proposition is replacing in-house data science and data engineering capacity: customers use the platform to build production models themselves, with predictions delivered into existing systems [3][5].

Software subscription/SaaS sold to midmarket and enterprise customers; the company has reported annual recurring revenue growth without disclosing absolute figures [5][6].

Traction

Pecan reported more than tripling annual recurring revenue in the year preceding its February 2022 Series C, with adoption among midmarket and enterprise customers, and headcount growth from 30 to about 100 employees over roughly nine months [5][6]. Named customers and references include Johnson & Johnson, which reported improved supply-chain forecasting accuracy and rapid model deployment, and Little Spoon, a direct-to-consumer food delivery service that used Pecan for lifetime-value and order-likelihood prediction to refine marketing spend and retention [4][5]. The company's site cites aggregate customer outcomes of roughly 12% average reduction in customer churn, 15% improvement in marketing ROAS, 25% reduction in inventory costs, and 90% of predictions delivered without data science support [0][1].

Latest developments

In February 2025 Pecan released a co-pilot for predictive modeling that uses conversational AI to let BI analysts refine data, explore trends and train models independently, announced alongside board additions Trevor Healy (Executive Chairman) and Andy Walter (advisory board) [4]. The company subsequently launched DemandForecast.ai, a GenAI-based supply-chain forecasting product [4], and now markets its core offering as a predictive AI agent that automates data prep, modeling and validation and delivers predictions into customers' existing tools [0][1][2].

Full profile — market position, technology, go-to-market, geography, history, risks & controversies

Market position

Pecan positions itself in the predictive analytics and automated machine learning market as a low-code/no-code alternative to platforms requiring data science staff, comparing itself with Amazon SageMaker, Databricks, Google Vertex AI, Snowflake, Akkio, Peak AI, Alteryx, Qlik Predict, DataRobot and Dataiku. At its 2022 Series C, investor Insight Partners described it as a category-defining platform for AI in advanced business analytics [2][5].

Pecan's stated differentiation is enabling SQL-trained BI analysts and business users to build validated, production-ready predictive models in days without coding or data science staff, by automating data preparation, feature engineering, model selection and validation, and by delivering predictions into existing operational tools instead of a standalone dashboard [0][1][2][5].

Technology

The platform combines automated ETL connectors, agent-driven data preparation that auto-generates SQL and engineers features, automated model training and validation with built-in data-science guardrails, business-metric model evaluation with natural-language explanations, no-code scheduled deployment that writes predictions back into source systems, and a conversational interface for querying predictions. The company describes proprietary AI algorithms that optimize and train predictive models, plus generative-AI-based co-pilot capabilities [0][1][2][4][5].

Go-to-market

Direct sales driven by demo requests and product walkthroughs from the website, supported by customer case studies and video testimonials, published guides and blog content on AI adoption and strategy, comparison pages against competing ML and analytics platforms, and distribution through AWS Marketplace. Funding proceeds have been directed at commercial expansion in the U.S. [0][1][2][3][6].

Midmarket and enterprise organizations that hold operational data but lack dedicated data science teams, across fintech, insurance, retail, consumer packaged goods, mobile apps, consumer services and subscription businesses. Within those accounts, Pecan targets BI/analytics teams plus marketing, sales, operations, customer success and finance functions [0][1][3][5].

Geography

Founded and headquartered in Israel with offices referenced in New York and Tel Aviv; funding has been used to scale the company's global footprint and commercial expansion in the United States [5][6].

History

Founded in 2018 in Israel, Pecan built a low-code predictive analytics platform for BI analysts. It announced a $35 million Series B in May 2021 and a $66 million Series C led by Insight Partners in February 2022, bringing total capital raised to $117 million, with more than $100 million raised within the preceding twelve months; part of the Series C was allocated to secondary purchases of shares from employees and earlier investors. Headcount grew from about 30 to about 100 during that period. In February 2025 the company launched a predictive modeling co-pilot and appointed Trevor Healy as Executive Chairman and Andy Walter to its advisory board. It has since repositioned the product as a predictive AI agent and launched DemandForecast.ai for supply-chain forecasting [4][5][6].

Risks & controversies

Pecan did not disclose its valuation at the February 2022 Series C; Calcalist reported that the valuation had risen from the prior round but had not reached $1 billion, and that an undisclosed portion of the round funded secondary share purchases rather than the business. The company competes with large cloud and analytics vendors including Amazon, Google, Databricks, Snowflake, DataRobot and Dataiku [2][6].

Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Average reduction in customer churn reported for customersJan 202612%
EmployeesFeb 2022100 people
Funding raised in preceding 12 monthsFeb 2022$100M
Improvement in marketing ROAS reported for customersJan 202615%
Predictions delivered without data science supportJan 202690%
Reduction in inventory costs reported for customersJan 202625%
Total funding raised to dateFeb 2022$117M

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Timeline · 4

launches, deals, and filings
Feb 2025
Trevor Healy appointed Executive Chairman; Andy Walter joins advisory board

Pecan added Trevor Healy, an entrepreneur and investor with prior roles at PayPal, Verisign and Telefonica, as Executive Chairman, and Andy Walter, former CIO and Global Shared Services executive at Procter & Gamble, as an advisory board member.

source ↗

Feb 2025
Launch of predictive modeling co-pilot

Pecan unveiled a co-pilot for predictive modeling that uses conversational AI to let BI analysts refine data, explore trends and independently train machine learning models for use cases such as churn, conversion, demand forecasting and lead scoring.

source ↗

Jan 2025
Launch of DemandForecast.ai

Pecan AI launched DemandForecast.ai, a GenAI-powered supply chain forecasting offering, citing IHL Group estimates that businesses lose about $1.7 trillion annually to forecasting errors.

source ↗

Feb 2022
Pecan AI raises $66 million Series C led by Insight Partners

Pecan announced a $66 million Series C led by Insight Partners with participation from GV and existing investors S-Capital, GGV Capital, Dell Technologies Capital, Mindset Ventures and Vintage Investment Partners, to scale its global footprint and accelerate R&D on its low-code predictive modeling platform. Insight's George Mathew joined the board and GV's Crystal Huang joined as a board observer. Part of the round was used for secondary transactions.

$66M source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

In the news

Research sources · 8

primary sources listed

8 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Pecan AI do?
Pecan AI is an Israeli-founded predictive analytics platform that lets business teams build and deploy ML models without data scientists.
Who founded Pecan AI?
Pecan AI was founded by Zohar Bronfman in 2018.
Who are Pecan AI's investors?
Pecan AI's investors include GV (Google Ventures), Insight Partners, Mindset Venture, Notable Capital, Dell Technologies Capital, GGV Capital, Granite Asia, S Capital and 1 more.
How much funding has Pecan AI raised?
Pecan AI has disclosed $101M raised across 2 of its 4 known rounds.