The entire
data lifecycle
We support our clients across 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.
The first step in turning data into value is making sure 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.
What's included
- ▸Integration with external APIs, relational databases, files, OT systems (SCADA, PLC) and web forms
- ▸Design and implementation of custom REST connectors and Webhooks
- ▸Automation of ingestion flows with N8N, Make and Power Automate
- ▸Real-time or batch synchronization, depending on the use case
Unstructured data is worthless. We build pipelines and models that turn raw information — scattered, dirty or incomplete — into a clean, coherent asset ready to be analyzed. Maintainable architectures, not fragile solutions.
What's included
- ▸Design of robust and scalable data pipelines
- ▸Transformation, cleaning and normalization of datasets from any source
- ▸Relational and analytical modeling (star schemas, snowflake)
- ▸Management and optimization of SQL databases: PostgreSQL, SQL Server, MySQL
Before building models or dashboards, you have to know the data. Exploratory analysis is the step many skip — and where the most mistakes are made. We carry out rigorous profiling of your datasets and document the findings in an actionable way.
What's included
- ▸Exploratory analysis (EDA) with Python: pandas, matplotlib, seaborn
- ▸Detection of anomalies, null values, outliers and quality issues
- ▸Statistical profiling: distributions, correlations, trends
- ▸Design of metrics and KPIs based on the available data
A good dashboard isn't the one with the most charts — it's the one that leads to the right decision in the shortest possible time. We design dashboards oriented to the end user, with a focus on readability and actionability.
What's included
- ▸Development of dashboards in Power BI, Tableau and Looker
- ▸Real-time visualization: operational KPIs, sales, production metrics
- ▸Integration of multiple sources into a single coherent panel
- ▸Training for the client team to gain autonomy in using the dashboard
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. Predictive models, LLMs within existing workflows and intelligent automation.
What's included
- ▸Classification, regression and clustering models with Python and scikit-learn
- ▸Integration of LLMs via API: OpenAI, Anthropic and others
- ▸Intelligent automation of internal processes with generative AI
- ▸Evaluation and selection of the right model based on the problem and the data
The best data architecture is worthless if it isn't properly deployed. We handle cloud deployment, containerization and infrastructure configuration so that solutions run in a stable, secure and scalable way in production.
What's included
- ▸Deployment of solutions on Azure and AWS
- ▸Containerization with Docker and Kubernetes
- ▸Configuration of reproducible environments and CI/CD pipelines
- ▸Migrations from on-premise environments to cloud
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, tailored to the systems your company already uses.
What's included
- ▸Development of robust and well-documented REST APIs
- ▸Functional web applications oriented to data management and visualization
- ▸Integrations between ERPs, CRMs, cloud platforms and databases
- ▸Maintainable, versioned code delivered with technical documentation
There are tasks that shouldn't require human attention: data transfers, report generation, notifications, synchronizations between systems. We identify, map and automate them end-to-end.
What's included
- ▸Design and implementation of end-to-end automation flows
- ▸Workflows with N8N, Make and Power Automate
- ▸Automation of recurring administrative and operational tasks
- ▸Basic monitoring and alerts for errors in the flows
We've spent more than two years developing and improving our own corporate chatbot. It's not a generic ChatGPT integration with a logo on top — it's a solution designed from scratch for the real needs of companies: internal documentation, a distinct corporate tone, custom conversation flows and impact measurement.
This accumulated experience lets us offer something market products don't: a system that understands your business, speaks your language and improves with use.
What's included
- ▸Employee support — Internal policies, operational procedures and 24/7 resolution of questions, without overloading HR
- ▸Customer service — Resolves frequent questions without overloading the human team, improving response times and satisfaction
- ▸Internal assistants — For sales, operations or IT teams: immediate access to technical information and specialized documentation
- ▸Learns from your documents, adapts to your language and evolves with your needs
An AI agent doesn't follow a rigid flow. It evaluates the context, reasons about the objective and decides when, how and with which tools to act. It replaces conventional automations in scenarios where reality is more complex than any predefined flow.
What's included
- ▸Specialized agents: onboarding, provisioning, technical support, competitive analysis
- ▸Autonomous handling of exceptions and unforeseen cases
- ▸Orchestration of multiple tools and systems according to context
- ▸Configurable human supervision and intelligent escalation mechanisms
Does it fit what you need?
Tell us about your challenge and we'll assess it with no commitment.
Let's talk about your project