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Pecan AI — AI Data Analytics Tool

Review star icon 5.0 / 5 (from 1 reviews)
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What is Pecan AI?

Pecan AI is a predictive analytics platform that enables data analysts to build machine learning models without extensive expertise. It guides users through model creation with a SQL-based interface, automating data preparation and integrating with existing tools to generate accurate predictions.

What sets Pecan AI apart?

Pecan AI sets itself apart by empowering data analysts to become predictive powerhouses, even without extensive machine learning expertise. Its chat-based interface allows analysts to describe their modeling goals in plain language, guiding them through the process of creating customized models. By automating complex tasks like feature engineering and model selection, Pecan AI helps businesses quickly turn their existing data into actionable predictions for improved decision-making.

Pecan AI Use Cases

  • Predictive customer churn
  • Marketing campaign optimization
  • Fraud detection
  • Demand forecasting

Who uses Pecan AI?

Features and Benefits

  • Feature icon Predictive GenAI
    Pecan's Predictive GenAI enables rapid model definition and training, making predictive modeling accessible to data and business teams without specialized personnel.
  • Feature icon Low-Code Platform
    The platform offers a low-code interface, allowing data analysts to build predictive models using SQL skills and an intuitive, guided experience.
  • Feature icon Automated Data Preparation
    Pecan automates data preparation and feature engineering, handling messy data to ready it for AI processing without manual intervention.
  • Feature icon Integration Capabilities
    The platform provides seamless integration with various data sources and existing tech stacks, facilitating easy implementation of AI initiatives.
  • Feature icon Performance Monitoring
    Users can monitor ongoing model performance through a dashboard that displays information on feature importance and row-level predictions.

Pecan AI Pros and Cons

Pros
  • Circle checkmark icon Quick modeling and data integration capabilities
  • Circle checkmark icon Deep knowledge of specific verticals
  • Circle checkmark icon Equipped with ideas and best practices
  • Circle checkmark icon Allows data-oriented teams to leverage AI without extensive data science resources
Cons
  • Cross icon Dashboard may take some time to get used to
  • Cross icon Limited user feedback available online
  • Cross icon Potential learning curve for new users
  • Cross icon May require initial setup and configuration

Pricing

Starter $950/mo
  • Circle check icon 250K Monthly predictions
  • Circle check icon 20 Monthly trained models
  • Circle check icon 20M Monthly uploaded rows
  • Circle check icon In-app support
  • Circle check icon 500M total uploaded rows limit
Business $1750/mo
  • Circle check icon 600K Monthly predictions
  • Circle check icon 40 Monthly trained models
  • Circle check icon 50M Monthly uploaded rows
  • Circle check icon Customer success specialist support
  • Circle check icon 1B total uploaded rows limit
Enterprise Price not available
  • Circle check icon Custom Monthly predictions
  • Circle check icon Custom Monthly trained models
  • Circle check icon Custom Monthly uploaded rows
  • Circle check icon Dedicated team with SLA support
  • Circle check icon Custom total uploaded rows limit
Pay as you go Price not available
  • Circle check icon $5 Per 1K predictions
  • Circle check icon $7 per model training
  • Circle check icon $10 For 1M ongoing uploaded rows
  • Circle check icon 50M total uploaded rows limit
  • Circle check icon In-app technical support
  • Circle check icon Manual download of predictions
  • Circle check icon $1 for 1M manual uploaded rows
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