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.
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.”
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
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
Try NowFeatures
Build, evaluate, test and deploy credit scorecards using familiar concepts such as Weights of Evidence.
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.
Ready to get started with Praexia?
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