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Your data is worth more than what you do with it.

Code & Scale 28 May 2026
5-minute read
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Your data is worth more than what you do with it.
Machine LearningLLMBusiness IntelligenceETLPredictive AI

AI Partner Madagascar · Data Co-creation · 7-minute read · May 2026

Most organizations have data. Many even have too much of it. CRMs filled with contacts that have never been followed up on, application logs piling up in silos, Excel files that have been emailed back and forth for ten years, and dashboards that no one really reads.

The real problem isn’t a lack of data, but the gap between what the data could tell us and what it actually tells decision-makers today.

“80% of the time spent on a data project is devoted to cleaning and understanding the data. The model itself takes up only 20%. That’s the issue we’re tackling first.”

— Code & Scale

At Code & Scale, we always start with your actual data, not a generic model. Before writing a single line of code, we analyze what you have, what’s missing, what’s reliable, and what you really want to know.


How Data Science Is Making a Real Difference in Madagascar

Be proactive rather than reactive

A well-calibrated predictive model allows you to detect a customer on the verge of churning before they leave, identify an anomaly in your supply chain before it becomes costly, and prioritize your resources where the ROI is highest. This isn’t science fiction—it’s what we’ve been doing with our partners since 2018, working side by side.

Automate what's holding you back

Certain tasks keep your teams busy for hours each week: extracting data from PDFs, manually classifying documents, and reconciling files across systems. Intelligent automation, robust ETL pipelines, custom LLM agents, and automated data workflows free up your teams to focus on what truly requires human thought.

Make decisions based on facts, not gut feelings

A dashboard is only useful if it answers the right questions, at the right time, for the right people. We design decision-making tools that retrieve data from wherever it is stored, process it in real time, and present it in a way that allows a manager to take immediate action without having to go through the technical team.


Our approach: data analysis before coding

Before any development phase begins, we analyze your business challenges to design an architecture that aligns with your actual needs. With meticulous execution, discretion in our interactions, and a commitment to high-quality, collaboratively developed deliverables, every project is carried out to the highest standards.

We focus on the product, not the mission: use cases, business impact, and iterations. Our approach always begins with a diagnostic assessment developed in collaboration with you:

  • Which decisions do you want to improve, and how often?
  • What data is currently available, in what condition, and where?
  • What is the true cost of a bad decision in your situation?
  • What level of confidence in the model is acceptable for your business?

Production · Artificial Intelligence · Project underway since 2023

Enterprise ETL for 50 million sources: A Paris-based scale-up and pioneer in large language models (LLMs) (€6 million raised) entrusted us with the overhaul of their data pipeline. We mapped the data flows, designed a data lake capable of ingesting 50 million raw data sources, and developed interfaces for extracting signals from petabytes of PDFs. Stack: ETL / Data Pipeline · Data Lake · LLM Integration · Web Interfaces.


Our Areas of Expertise: Data & AI

Machine Learning & Deep Learning

Predictive models, classification, anomaly detection, scoring, recommendation.

Generative AI & Large Language Models

Chatbots, information extraction, structured content generation, RAG on your data.

Business Intelligence

Decision-making dashboards, real-time KPIs, automated reporting, smart alerts.

Pipelines & ETL

Large-scale ingestion, processing, and integration of data from multiple sources.

Data Quality & Governance

Audit, cleanup, standardization, documentation, and traceability of data flows.

Data analysis

Identify and monetize the existing data assets that you are underutilizing.


Why data projects fail elsewhere, and how to avoid that

Data projects that fail usually have three things in common: an unclear scope, a technical team that is out of touch with the business, and deliverables that never actually go into production.

Every Code & Scale project is a partnership: a senior engineer gets deeply involved in your vision and business requirements—not just the code.

We don’t just deliver laptops; we work with you to build systems that fit your operational needs, are easy to maintain, and are built to last. Whether you choose a fixed-price contract or time-and-materials billing, you retain control over the budget at every stage.

You have data. Want to know what it’s really worth?
We’ll get back to you within 24 hours, with no obligation.

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