Overview
Pecan AI is a predictive analytics platform that enables business teams to build machine learning models and deploy AI-powered predictions without requiring data scientists or specialized technical expertise. Founded in 2018 by Zohar Bronfman (CEO) and Noam Brezis, the company's core mission is democratizing AI: "If you can read this, you can build a model."
The platform generates over 30 million daily predictions that impact billions of dollars in revenue for customers across insurance, fintech, retail, CPG, mobile app, and consumer services. Pecan's conversational AI agent automates the full ML lifecycle -- data preparation, feature engineering, model building, and deployment -- delivering predictions within hours to days.
For insurers, Pecan's models power fraud prevention, churn reduction, customer lifetime value optimization, and risk scoring use cases. The platform connects directly to cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks), enabling insurers to operationalize existing data without building a data science team.
Products & Services
Conversational Predictive AI Agent
Natural language interface that accepts business questions and automatically builds, validates, and deploys predictive models without coding or data science expertise. Business analysts describe the outcome they need; Pecan handles data preparation, feature engineering, model training, and deployment.
Key Features
- Natural language model building -- no code required
- Automated data preparation and feature engineering
- Model validation and explainability built in
- Predictions deployed within hours to days
Target Users: Business intelligence, operations, and revenue teams in insurance, fintech, retail, and CPG
Fraud and Chargeback Prevention
Automated ML scoring and detection systems for identifying fraud patterns and preventing chargebacks. Designed for carriers, fintechs, and subscription businesses.
Key Features
- Real-time and batch fraud scoring
- Chargeback prediction and prevention
- Integration with existing data warehouse infrastructure
Target Users: Insurance carriers, fintech companies, subscription businesses
Churn Prediction
Identifies at-risk customers to enable proactive retention campaigns before cancellation occurs.
Key Features
- Customer-level churn probability scoring
- Early warning indicators by segment
- Retention campaign targeting recommendations
Target Users: Insurance carriers, subscription and consumer services companies
Customer Lifetime Value (LTV) Modeling
Predicts customer value over time to optimize marketing spend, segment strategies, and pricing decisions.
Key Features
- Multi-period LTV forecasting
- Segment-level value distributions
- Marketing attribution and ROAS optimization
Target Users: Insurance marketers, digital acquisition teams, consumer services
DemandForecast.ai
Launched August 2025, this standalone product provides AI-powered supply chain demand forecasting with GenAI-powered natural language insights for enterprise users. Named a 2025 Gartner Cool Vendor in Cross-Functional Supply Chain Technology.
Key Features
- Accurate demand signal forecasting
- GenAI-powered natural language insights
- Integration with existing ERP and data warehouse systems
Target Users: Enterprise supply chain and operations teams
Marketing ROAS Optimization
Campaign performance prediction and optimization, leveraging Pecan's status as a Meta Business Partner (February 2025) for measurement and marketing mix modeling.
Key Features
- Predicted ROAS by channel and audience
- Marketing mix modeling
- Budget allocation recommendations
Target Users: Growth and marketing teams in insurance and consumer services
At a Glance
- Founded
- 2018
- Headquarters
- Tel Aviv, Israel
- Employees
- 51-200
- Funding
- Series C+ (USD 118M total)
Category & Focus
- Category
- Data & Analytics
- Subcategories
- Predictive Analytics AI/ML Fraud Detection Customer Intelligence
- Insurance Verticals
- P&C Personal P&C Commercial Health Specialty/E&S
- Target Customers
- Carriers, MGAs/MGUs
Customers
- Little Spoon (subscription e-commerce)
- Nanit (connected baby products)
- TJC -- The Jewellery Channel (retail)
- Redis (technology)
- 12% average reduction in customer churn (reported)
- 15% improvement in marketing ROAS (reported)
- 25% inventory cost reduction (reported)
- 90% of predictions delivered without data science support
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Last updated: 2026-06-05