Who We Are

katalytics
We are a group of cross-disciplinary professionals with a passion for designing solutions to complex problems, specializing in delivering analytical and predictive tools that are as transparent as they are effective.
By focusing on explainability and practicality, we prioritize ensuring that each solution is tailored to your specific needs.

What We Do
At katalytics, we transform data into meaningful insights that drive better decisions across industries.
Whether you’re looking to optimize business operations or tackle engineering challenges, our expertise simplifies complex problems and datasets, delivering clear, actionable results.
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Data Analysis & Predictive Modelling
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Engineering Solutions
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Customized Dashboards & Tools
Our Services
A Glimpse of Our Core Offerings.

Consulting
Get expert guidance to navigate your unique challenges. We provide strategic insights and actionable solutions tailored to your needs.

Analytics & Visualization
Transform your data into meaningful insights. We specialize in data science and analytics and create dashboards to make complex information accessible and actionable.

Predictive Modeling
Understand your data and forecast future outcomes with confidence. Our modeling services leverage Machine Learning and Bayesian probabilistic techniques to deliver reliable predictions that empower your strategic decisions.
Need quick advice?
We’re available for brief consultations to help you tackle small issues or make informed decisions.
Case Studies
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Elections Data Dashboard
This project showcases the creation of an interactive dashboard for visualizing Mexico’s federal election results, at the State level. Leveraging publicly available data from the Electoral Institute (INE), we employed advanced techniques, including the use of geospatial data to create dynamic maps that visualize voter turnout across regions. The dashboard allows users to explore voting
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Bayesian Classification and Survival Analysis
In this project, we employed Bayesian logistic regression using NumPyro to model survival data. The project demonstrates how advanced probabilistic methods can be used to predict binary outcomes and survival times, providing deeper insights into risk factors. Explore more here.
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Image Classification using Transfer Learning
This project applies deep learning and transfer learning techniques to classify cat facial expressions into moods such as alarmed, angry, calm, and pleased. By leveraging PyTorch and pre-trained models, this project showcases the power of transfer learning for image classification tasks. Explore more here.
