• Free Trial: full platform, 1 model, first prediction batch free. • Starter: $950/month – 20 trainings, 1 production model, 2 prediction batches, 500M rows storage. • Growth/Enterprise: higher volumes/support, custom pricing.

Pecan.ai: the complete guide

Q: What features does Pecan AI offer?

• Predictive GenAI (Co-Pilot) for building ML models without code • Automated data prep: joins, feature engineering, null handling • Out-of-the-box models for churn, LTV, up-sell, demand, credit risk • SQL editor + notebook for analysts, explainability, scenario planning • Native connectors: Snowflake, Redshift, BigQuery, S3, Databricks, CSV/XLSX • Batch/streaming API deployment; drift monitoring, scheduled retraining • Governance: version control, roles, audit, notebook export • Dashboards and webhooks to push predictions to CRM/BI

Q: How do I use Pecan AI?

1. Sign up at app.pecan.ai (free trial, fast modeling) 2. Connect a data source or upload CSV; Pecan profiles your data 3. Select use case (e.g. 'Predict churn in 90 days'), define target event 4. Co-Pilot generates features, trains model; you get AUC/ROC/SHAP 5. Validate, click 'Generate Predictions', save/download scores 6. Schedule retraining, set up webhook/Slack alerts

Q: Where do I download Pecan AI?

No download needed: Pecan is a SaaS web app at app.pecan.ai. A lightweight Python SDK is available for upload/export automation; no native mobile app.

Q: Which languages does Pecan AI support?

The interface is in English. Datasets may contain text or numbers in any language; models are not limited by field language.

Q: Where is Pecan AI headquartered?

Headquarters in Ramat Gan, Israel, with sales offices in New York (USA).

Q: What does Pecan AI do?

Pecan is a low-code predictive analytics platform that lets analysts/BI teams build ML models and get business predictions (churn, LTV, demand, risk) in hours, reducing time-to-insight and boosting data-driven ROI—no data-science skills required.

Q: How can I cancel my Pecan AI subscription?

1. Go to Settings → Billing 2. Click 'Cancel Subscription'; account remains active until month-end, residual usage may be charged 3. Optional: choose 'Delete Account' to remove data/models

Q: Does Pecan AI have APIs?

Yes. Pecan provides a REST API and Python SDK for uploading data, starting training, retrieving predictions, monitoring, and webhooks; access from Starter+ plans in Developers → API Keys.

Q: Does Pecan AI have an app?

• Responsive web app (desktop/tablet) • No dedicated mobile app; core features via mobile browser or API/SDK

Pecan.ai is a predictive analytics platform designed to turn business data into actionable forecasts without requiring advanced data-science skills. It enables data analysts and business stakeholders—even those who are not programmers—to build machine-learning models and obtain accurate predictions from their data through an intuitive workflow. The platform steers users through model building with a SQL-based interface and automations that prepare the data and connect to the tools already in use, making integration into everyday operations straightforward. Pecan.ai is aimed at data-driven teams in multiple sectors (marketing, sales, e-commerce, finance, and more) that want to leverage artificial intelligence to predict trends and business KPIs. It can be used for many scenarios—from customer-churn and lifetime-value (LTV) prediction, to demand and sales forecasting, marketing-campaign optimisation, or fraud detection. In short, Pecan.ai makes data science accessible to analysts, offering an AI “co-pilot” that guides them step by step and lowers the barrier to advanced predictive analytics.

Table of Contents

Features
Step-by-step Guide
Pros and Cons
Pecan AI Pricing and Plans
Alternatives
FAQ

Pecan AI: Features

Main capabilities include: Predictive GenAI Assistant: A generative AI copilot provides conversational guidance, quickly shaping and training models. Users describe prediction goals in natural language, and the system configures the model accordingly—making predictive modelling accessible even to teams without dedicated specialists. Low-Code Platform: Pecan’s interface is designed for low code: analysts can leverage their SQL skills in an intuitive, guided environment to build models without writing complex programming from scratch. Automated Data Preparation: The software automates data preparation and feature engineering. Raw, messy data are cleaned, transformed and made analysis-ready automatically, with no manual intervention. Integration with Existing Data Sources: Pecan offers built-in connectors and APIs to plug easily into databases, CRMs, e-commerce platforms and other business tools, eliminating complex manual ETL workflows. Performance Monitoring: After deployment, models are tracked via an interactive dashboard. Users can view key performance metrics, variable importance and even record-level predictions, spotting any drops in accuracy.

Step-by-step guide

Below is a streamlined overview of how to use Pecan.ai—from the initial setup to obtaining actionable forecasts: Connect your data: Link your business data sources (databases, CSV files, data warehouses, etc.) to Pecan via the built-in connectors. Pecan automatically handles the extract–transform–load (ETL) process, making the required information instantly available for modelling. Define the predictive model: Describe your business use case (e.g., “predict which customers will churn within three months”) and the AI co-pilot helps you identify the relevant data. The AI then builds the training dataset, runs quality checks, and selects the most suitable machine-learning techniques. Evaluate the results: After training, Pecan measures model performance (accuracy, precision/recall, etc.) and presents the results clearly. It also highlights the key variables (feature importance) and offers suggestions to improve the model. Deploy and use: With one click the model goes into production. Pecan manages automatic deployment, continually generating predictions on new incoming data and integrating with existing systems (CRM, BI dashboards, email marketing). This greatly simplifies practical use of the forecasts in everyday work. Note: Pecan.ai also provides additional tools for the model life-cycle (periodic updates, drift monitoring, and versioning), making long-term maintenance easier.

Pros and Cons

Advantages

Fast, easy modelling: Predictive models can be built quickly thanks to automation and seamless data-source integration.
Business-oriented approach: Recommendations and best practices are tailored to specific verticals (e-commerce, fintech, etc.).
Data-team empowerment: Lets an analytics team tap into machine learning without needing senior data scientists.
Support and assistance: Higher-tier plans include dedicated specialists and a Customer Success team.

Disadvantages

Learning curve: Although low-code, it still requires basic familiarity with analytics and data concepts.
Limited community: As a relatively new platform, there are fewer external support resources.
Initial data setup: If enterprise data are poorly structured, extra effort may be needed to organise them properly.
Interface exploration: Some advanced features may take a few days of practice to master.

Pricing and Available Plans

Pecan.ai is a commercial solution with several subscription tiers and flexible billing options: Starter – USD 950 / month: entry-level plan with ~250 000 predictions per month and up to 20 models in production. Includes a limit of 500 million historical rows and in-app technical support. Business – USD 1 750 / month: for larger needs—about 600 000 monthly predictions, 40 models, and bigger datasets. Comes with a dedicated Customer Success specialist and a cap of 1 billion total rows. Enterprise – custom pricing: tailor-made for large organisations, with no predefined limits. Dedicated SLA and support; ideal for very high volumes or advanced integrations. Pay-as-you-go: usage-based pricing (about USD 5 per 1 000 predictions). Limit of 50 million total rows. Good for ad-hoc projects or small-scale experiments. Prices are indicative and may change; check the official website for up-to-date details and promotions. You can also request a free demo to evaluate the platform before subscribing.

Alternatives

Other, similar software worth considering DataRobot: an established AutoML platform that automates algorithm selection and validation. Fast to deploy but less customisable and may involve proprietary lock-in. H2O.ai: highly flexible and transparent open-source solution—ideal when you need maximum control and have technical expertise (programming, ML). Requires more learning time. Cloud platforms (Google, Amazon, Microsoft): services such as Vertex AI, SageMaker, or Azure ML Studio are powerful and comprehensive, but often more complex to configure. Best if you have a specialised tech team and want complete freedom. In short, Pecan.ai positions itself in the middle ground, emphasising ease of use and business orientation. If you want speed and minimal coding effort, Pecan.ai offers an excellent balance; for extreme customisation you might opt for more open tools or cloud solutions—bearing in mind your available resources and budget.

FAQ

What features does Pecan AI offer?

• Predictive GenAI (Co-Pilot) that builds custom ML models with no code
• Automated data prep: joins, feature engineering, handling of null values
• Out-of-the-box models for churn, LTV, up-sell, demand and credit risk
• Integrated SQL editor + notebook for analysts, with explainability & scenario planning
• Native connectors to Snowflake, Redshift, BigQuery, S3, Databricks and CSV/XLSX files
• Batch or streaming/API deployment; drift monitoring and scheduled retraining
• Governance: version control, roles, audit trail, notebook export
• Actionable dashboards and webhooks to push predictions into CRM/BI tools

How do I use Pecan AI?

1. Sign up at app.pecan.ai and enter the free trial (fast modeling).
2. Connect a data source or upload CSV → Pecan profiles the data.
3. Choose a use case (e.g., “Predict churn in 90 days”) and define the target event.
4. The Co-Pilot generates features and trains the model; within minutes you get AUC/ROC and SHAP.
5. Validate → click “Generate Predictions” to create the score column and save it to your warehouse or download it.
6. Schedule monthly retraining and set up webhook/Slack alerts for the business team.

Where do I download Pecan AI?

No download needed: Pecan is a SaaS web app at app.pecan.ai. A lightweight Python SDK is available to automate uploads and exports, but there is no native mobile app.

Which languages does Pecan AI support?

The interface is currently in English. Datasets can of course contain text/numbers in any language; the models are not limited by field language.

Where is Pecan AI headquartered?

Headquarters in Ramat Gan, Israel, with sales offices in New York (USA).

Is Pecan AI free?

• Free Trial: full platform, 1 model, first prediction batch free.
• Starter: US $950/month – 20 trainings/month, 1 production model, 2 prediction batches, 500 M rows of storage.
• Growth and Enterprise plans with higher volumes and support, pricing on request.

What does Pecan AI do?

Pecan is a low-code predictive-analytics platform that lets data/BI analysts build ML models and obtain business predictions (churn, LTV, demand, risk) in a few hours without data-science expertise, cutting time-to-insight and boosting ROI on data-driven decisions.

How can I cancel my Pecan AI subscription?

1. Go to Settings → Billing.
2. Click “Cancel Subscription.” Your account remains active until month-end, and residual usage may be charged.
3. Optional: select “Delete Account” to remove data and models completely.

Does Pecan AI have APIs?

Yes. Pecan provides a REST API and Python SDK for uploading datasets, starting training, retrieving predictions, monitoring metrics and receiving completion webhooks; access is included in Starter+ plans under Developers → API Keys.

Does Pecan AI have an app?

• Responsive web app (desktop/tablet).
• No dedicated mobile app; core functions are available via mobile browser or API/SDK.

What are the alternatives to Pecan AI?

• Altair AI Studio, Alteryx, Tableau + Einstein, Google Vertex AI, Qlik Sense AutoML
• Other no-code predictive platforms: SegmentStream, BOSCO, Neustar, Corvidae.ai, Objective Platform.

Does Pecan AI offer a demo?

Yes. You can book a custom demo (“Schedule a Demo”) or access the interactive free trial with fast modeling directly from the website.

Author

Nicolò Caiti

I’ve made MarTech my career, focusing on artificial intelligence for digital marketing. In this blog I analyse how AI is transforming the sector—improving web performance, optimising digital strategies and speeding up everyone’s work. With years of experience in marketing automation and advanced customer-journey management, I share practical insights, case studies and best practices to help people harness AI’s potential in their roles. I hope you find the answers you’re looking for!