people sitting down near table with assorted laptop computers

What we do

We accompany our clients through every phase of the data lifecycle — from its origin to its activation in the business. We don't sell technology. We solve real problems with the right tools.

01. Data acquisition and ingestion

We connect your data sources, whatever they are

The first step in turning data into value is ensuring it arrives correctly: from the right system, at the right time, and with the necessary quality. We design and implement the connectors and ingestion flows your business needs, whether the sources are modern APIs, legacy databases or industrial systems.

What it includes

Integration with heterogeneous sources: external APIs, relational databases, structured and unstructured files, OT systems (SCADA, PLC) and web forms.
Design and implementation of custom REST connectors and Webhooks.
Ingestion flow automation with N8N, Make and Power Automate.
Real-time or batch data synchronization, depending on the use case.

Technologies: Python · REST APIs · Webhooks · SQL · Custom connectors · N8N · Make · Power Automate

02. Data engineering

We transform raw data into a structured, reliable asset

Unstructured data is useless. We build the pipelines and models that convert raw information — scattered, dirty or incomplete — into a clean, coherent asset ready to be analyzed or visualized. We focus on building maintainable architectures, not solutions that break at the first change.

What it includes

Design of robust and scalable data pipelines.
Transformation, cleaning and normalization of datasets from any origin.
Relational and analytical data modeling (star schemas, snowflake, etc.).
Management and optimization of SQL databases: PostgreSQL, SQL Server, MySQL.
Deployment in cloud environments with support for incremental and full-load workloads.

Technologies: Python · SQL · PostgreSQL · SQL Server · MySQL · Data pipelines

03. EDA and Data Science

We understand your data before acting on it

Before building models or dashboards, you need to know the data. Exploratory analysis is the step many skip — and where most errors are made. We rigorously profile your datasets, detect quality issues and document findings so that both technical and business teams can understand them and act.

What it includes

Exploratory data analysis (EDA) with Python: pandas, matplotlib, seaborn.
Detection of anomalies, null values, outliers and data quality issues.
Statistical profiling of datasets: distributions, correlations, trends.
Clear documentation of findings, tailored to the recipient's technical level.
Design of metrics and KPIs based on available data.

Technologies: Python · pandas · numpy · matplotlib · seaborn · scikit-learn · Statistics

04. Visualization and Business Intelligence

We make data readable and actionable for any profile

A good dashboard isn't the one with the most charts — it's the one that leads to the right decision in the shortest time. We design dashboards oriented toward the end user, focused on readability and actionability. From real-time visualizations to consolidated executive reports.

What it includes

Development of dashboards in Power BI, Tableau and Looker.
Real-time data visualization: operational KPIs, live sales, production metrics.
Integration of multiple data sources into a single coherent panel.
End-user oriented design: readability, visual hierarchy and actionability.
Basic training for the client team to use the dashboard autonomously.

Technologies: Power BI · Tableau · Looker · Python (matplotlib, seaborn) · Real-time dashboards

05. Machine Learning and Artificial Intelligence

AI applied to business — as a solution, not an experiment

We work with AI from a pragmatic perspective: not as background technology, but as a concrete tool that solves a real problem in your company. We build predictive models, integrate LLMs into existing workflows and automate processes that previously required constant human intervention.

What it includes

Classification, regression and clustering models with Python and scikit-learn.
Integration of language models (LLMs) via API: OpenAI, Anthropic and others.
Intelligent automation of internal processes with generative AI.
Development of custom AI solutions for specific business use cases.
Evaluation and selection of the right model based on the problem and available data.

Technologies: Python · scikit-learn · OpenAI API · Anthropic API · LLMs · NLP · Predictive models

06. Cloud and infrastructure

We deploy and maintain solutions where your data lives

The best data architecture is useless if it's not well deployed. We handle cloud deployment, containerization and the configuration of the infrastructure needed so that solutions run stably, securely and scalably in production.

What it includes

Solution deployment on Azure and AWS.
Containerization of applications and services with Docker and Kubernetes.
Configuration of reproducible environments and basic CI/CD pipelines.
Scalable architectures focused on cost and maintainability.
Support for on-premise to cloud migrations.

Technologies: Azure · AWS · Docker · Kubernetes · Linux · Cloud deployment

07. Software development

We build the applications and integrations you need

Sometimes the problem isn't the data or the model — it's that the application connecting everything doesn't exist. We develop APIs, internal tools and data-oriented web applications, adapted to the systems your company already uses. Without over-engineering. Without unnecessary technology.

What it includes

Development of robust and well-documented REST APIs.
Functional web applications oriented to data management and visualization.
Integrations between heterogeneous systems: ERPs, CRMs, cloud platforms, databases.
Internal tools to automate repetitive business tasks.
Maintainable, versioned code delivered with technical documentation.

Technologies: Python · REST APIs · FastAPI · Flask · Web development · Git · Integrations

08. Process automation

We eliminate repetitive work and free up your team's capacity

There are tasks that shouldn't require human attention: data transfers, report generation, notifications, synchronizations between systems. We identify them, map them and automate them — end-to-end — so your team can focus on what really matters.

What it includes

Design and implementation of end-to-end automation flows.
Workflow development with N8N, Make and Power Automate.
Automation of recurring administrative and operational tasks.
Integration of multiple systems without manual intervention.
Basic monitoring and alerts for errors in automated flows.

Technologies: N8N · Make · Power Automate · REST APIs · Webhooks · Integrations

What we do

We accompany our clients through every phase of the data lifecycle — from its origin to its activation in the business. We don't sell technology. We solve real problems with the right tools.

01. Data acquisition and ingestion

We connect your data sources, whatever they are

What it includes

02. Data engineering

We transform raw data into a structured, reliable asset

Unstructured data is useless. We build the pipelines and models that convert raw information — scattered, dirty or incomplete — into a clean, coherent asset ready to be analyzed or visualized. We focus on building maintainable architectures, not solutions that break at the first change.

What it includes

03. EDA and Data Science

We understand your data before acting on it

Before building models or dashboards, you need to know the data. Exploratory analysis is the step many skip — and where most errors are made. We rigorously profile your datasets, detect quality issues and document findings so that both technical and business teams can understand them and act.

What it includes

04. Visualization and Business Intelligence

We make data readable and actionable for any profile

A good dashboard isn't the one with the most charts — it's the one that leads to the right decision in the shortest time. We design dashboards oriented toward the end user, focused on readability and actionability. From real-time visualizations to consolidated executive reports.

What it includes

05. Machine Learning and Artificial Intelligence

AI applied to business — as a solution, not an experiment

We work with AI from a pragmatic perspective: not as background technology, but as a concrete tool that solves a real problem in your company. We build predictive models, integrate LLMs into existing workflows and automate processes that previously required constant human intervention.

What it includes

06. Cloud and infrastructure

We deploy and maintain solutions where your data lives

The best data architecture is useless if it's not well deployed. We handle cloud deployment, containerization and the configuration of the infrastructure needed so that solutions run stably, securely and scalably in production.

What it includes

07. Software development

We build the applications and integrations you need

Sometimes the problem isn't the data or the model — it's that the application connecting everything doesn't exist. We develop APIs, internal tools and data-oriented web applications, adapted to the systems your company already uses. Without over-engineering. Without unnecessary technology.

What it includes

08. Process automation

We eliminate repetitive work and free up your team's capacity

There are tasks that shouldn't require human attention: data transfers, report generation, notifications, synchronizations between systems. We identify them, map them and automate them — end-to-end — so your team can focus on what really matters.

What it includes

Digital Pragmatism – AI Accelerators