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Pecan FAQ - Pricing, Data Science and Information Security
Pecan FAQ - Pricing, Data Science and Information Security

A Bite-Sized FAQs on our nutty under-the-hood goodness!

Ori Sagi avatar
Written by Ori Sagi
Updated over a week ago


What is Pecan's pricing model?

We believe that everyone should crack predictive analytics, so we offer a variety of subscription plans with different features and costs, with no commitment.

You can find the most updated information on our pricing page.

Data Science

What modeling techniques does Pecan use?

Pecan uses state-of-the-art modeling techniques to rapidly experiment, test, and select the best and most accurate models using Bayesian Optimization methods over the hyperparameter space.

Pecan’t best-in-class methods/algorithms include:

  • Time Series LSTM


  • Prophet

  • Tree-based Models (e.g. LGBM, CATBOOST, etc.)

How does Pecan do automated feature selection and engineering?

Pecan creates automated feature engineering based on deep analysis of the data.

Denoising Autoencoders and other Unsupervised methods such as Clustering (e.g. for identification of lookalikes, etc.) are used for Feature Engineering Enhancement. Feature Selection is performed using Permutation Tests and Shapley values.

Security and Privacy

Is my data safe?

Pecan offers software-as-a-service or remote modeling for maximum privacy and minimum risk - no need to copy or move data to another cloud.

What about PII (Personally identifiable information)?

To create a great model, Pecan doesn't need any PII, and you have complete control on exactly which tables and which columns in them Pecan will have access too!

Is Pecan GDPR and CCPA compliant?

Absolutely! We adhere to GDPR, CCPA, and to your policies as a Data Processor.

How does Pecan keep my data secure?

Pecan has annual certifications for ISO 27001 and SOC 2 Type 2 compliance. Read more here.

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