Solutions

CausalPy
A powerful Python package enabling Probabilistic AI causal inference in quasi-experimental settings. Ideal for scenarios where randomized experiments are impractical, CausalPy empowers users to rigorously apply causal reasoning methods, making it straightforward to uncover reliable insights from observational data.
Find out more aboutCausalPy

PyMC Marketing
The premier open-source solution for Probabilistic AI Media Mix Modeling and Customer Lifetime Value analysis. Designed specifically for enterprise use, PyMC Marketing supports custom prior specifications, sophisticated adstock transformations, and advanced budget optimization techniques, all packaged within a scalable framework optimized for GPU acceleration.
Find out more aboutPyMC Marketing

PyMC
A cutting-edge probabilistic programming framework in Python, purpose-built for Probabilistic AI statistical modeling and machine learning. PyMC offers robust methodologies such as MCMC sampling and variational inference, leveraging PyTensor as its computational engine to deliver efficient automatic differentiation and high-performance computing capabilities.
Find out more aboutPyMC
Some Of Our Clients



































