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Science and methodology
This practice is the core of data science operations, focusing on the application of scientific methods and algorithms to extract knowledge from data. It involves selecting appropriate statistical models, machine learning algorithms and data mining techniques to analyze the data. This practice is also responsible for maintaining the rigor and validity of the methods used, ensuring that the findings are reliable and reproducible. Data scientists in this area work on the development of new methodologies, hypothesis testing and continuous improvement of the organization's analytical capabilities.
Scientific rigor for business impact
Scientific Method
At ixpantia, we apply the scientific method to data science, starting with careful observation followed by precise hypotheses that are tested through experimentation. This rigorous yet flexible process ensures that our solutions are both reliable and reproducible. Through detailed exploratory analysis, we tailor our research to answer critical business questions, ensuring that our solutions are aligned with our clients' specific needs and drive innovation and strategic decision making.
Variables engineering
Variables engineering is fundamental to optimizing the performance of machine learning models and AI solutions. At ixpantia, we focus on the identification, selection, transformation and creation of critical variables that enable the discovery of underlying patterns not evident in the raw data. This meticulous process significantly improves the accuracy of models and solutions by helping to define and optimize performance indicators. In this way, we ensure that your organization has robust and effective capabilities to address complex business challenges.
Advanced Data Analytics
Our team at ixpantia specializes in advanced data analytics, using a sophisticated mix of statistical techniques and machine learning algorithms to provide actionable insights. This capability allows us to identify hidden patterns, predict future trends and provide strategic recommendations that empower organizations to make data-driven decisions. We are dedicated to turning big data into clear competitive advantages, driving growth and operational efficiency.
Artificial Intelligence Solutions
At ixpantia, we are at the forefront of artificial intelligence innovation, offering customized solutions ranging from generative AI to more traditional machine learning techniques. Our modular and adaptive approach ensures that solutions not only address complex business challenges effectively but are also designed for continuous improvement. We accompany organizations throughout the entire AI solution development lifecycle, from conception to implementation and beyond, ensuring meaningful and lasting impacts.
«We have never had consultants working with us who were so genuinely focused on transferring knowledge to our team.»


Data Analyst at oil company
Case studies and examples

About us

ixpantia was born in 2016 with the goal of sharing knowledge and best practices in data-driven innovation. We combine science, engineering and business strategy to transform data into impactful solutions that drive growth and innovation. Our multidisciplinary team works closely with our clients to design and implement data strategies and products, fostering a culture of data-driven innovation that improves decision making and operations.

Committed to excellence and innovation, we strive to be at the forefront of advanced analytics, empowering organizations to harness the potential of their data and ensure long-term success. At ixpantia, we believe in the transformative power of data to create a future where every decision is informed by accurate and insightful analytics, ensuring that our clients lead in their respective industries.

Let's talk!
If you have ideas, visions or projects that you want to bring to reality, start the dialogue with us today to explore and discover the possibilities together.