Better credit models in the cloud
using the power of Python.

Praexia is a cloud-native toolset that provides a complete credit modelling lifecycle for large and small datasets using a suite of graphical tools that empowers decision scientists to leverage the Python ecosystem.

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Trusted by credit providers, modellers and decision scientists

Some very good news, we successfully deployed the AI-Platform credit scorecard recipe to production today! Big thanks to the team for helping us get this over the line. It was a pleasure to work off of a well written code base, and the requested changes were delivered on time and to spec.

Decision Scientist, Capitec

Praexia allows us to improve on all aspects of risk management by providing a single toolkit for data analysis and preparation, modelling, deployment and monitoring. It allows us to use the latest tools and techniques, without sacrificing the transparency, robustness, customisation and efficiency we expect.

Credit Modeller, Matogen AI

What sets us apart

Praexia offers some features you don’t normally associate with other credit modelling solutions.

CLOUD NATIVE

Create, evaluate and deploy credit models using a cloud-native toolkit that runs on AWS and Azure. Choose between hosting in your cloud environment, or a managed instance.

BIG DATA CAPABLE

Work with datasets both large and small, with thousands of columns and millions of rows.

PYTHON ECOSYSTEM

Use out-of-the-box visual tools to create and evaluate credit models using classic approaches like Weights of Evidence, or dive directly into state of the art techniques by leveraging the entire Python ecosystem.

Choose between self-hosted and managed options

Choose to host Praexia inside your own cloud subscription, where we give you complete control. Or, allow us to manage your cloud environment for you, so you can focus on what matters to you, while we take care of the rest.

Praexia

MANAGED

Praexia, managed by Praelexis.

  • Run in the cloud on Azure

  • Full Praexia Credit solution

  • Managed cloud environment

  • Interactive modeling widgets

  • Examples and Documentation

$999 per user per month
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Praexia

SELF-HOSTED

Praexia, hosted in your cloud environment.

  • Run in the cloud on Azure

  • Full Praexia Credit solution

  • Full environment control

  • Interactive modeling widgets

  • Examples and Documentation

$1.49 per user per hour
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Features

Build, evaluate, test and deploy credit scorecards using familiar concepts such as Weights of Evidence.

Praelexis Credit helps you reduce thousands of potential variables down to a selection that maximizes your predictive power. Make use of automated variable selection, or provide your own manual overrides to conform to your organization’s requirements.

Evaluate model performance and stability using different datasets and out-of-time samples to ensure your models run as well in production as they do during development.

Work doesn’t stop once a model is deployed into production. Praelexis Credit offers a set of monitoring tools so that you can understand and visualize every application outcome and model decision.

Powered by the world’s best Opensource software

OPTBINNING

Praelexis Credit leverages the opensource OptBinning project, supercharging your ability to automatically bin thousands of variables quickly and optimally.

JUPYTER

Praelexis utilizes the Jupyter Lab environment and IPyWidgets framework, used by millions of decision scientists around the world, to provide visual tools to speed up the credit modelling process.

PYDATA STACK

We use and expose the entire PyData stack in Praelexis Credit. Use our suite of built-in functions, or mix and match using the power of the Python ecosystem to write your own.

Learn more

Still unsure if Praexia is what your team needs? Take a look at our product brochure and read our whitepaper on how Praexia can make a difference to your credit modelling workflow.

Praexia Overview Brochure
Praexia Whitepaper

Ready to get started with Praexia?

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A product by Praelexis