[Data Engineering]

Your reliable, high-performing, and AI-ready data foundation

Galadrim collects, structures, and unifies your data to make it easily usable by your collaborators, your business tools, and your artificial intelligence models.
+200 data pipelines in production for our clients
80% less manual consolidation on average
140+ senior tech profiles from Polytechnique, Centrale or ENS
Chat with an expertDiscover 3 achievements
Data Engineering - data pipeline, from source collection to analysis.
+800 organisations entrust us with their tech and AI projects
[Our Expertise]

Examples of Applications

We connect your sources, industrialise their processing, and consolidate them into a warehouse sized for your load, with continuous monitoring of their quality.
Consolidation of dispersed sources

Consolidation of dispersed sources

Your data, spread across ERP, CRM, and files that no one reconciles, are brought together in a single warehouse, with the same formats and definitions, queryable at once.
Utilisation of dormant history

Utilisation of dormant history

A history accumulated over years becomes a queryable and retrievable database, for decision-makers as well as for those who produce the data without ever seeing the result.
Your business teams' access to data

Your business teams' access to data

Your teams query the data in plain language and generate their own reports, thanks to a dictionary that describes your indicators using your business vocabulary.
Feeding your models and AI agents

Feeding your models and AI agents

Your predictive models and agents work on reliable, complete, and up-to-date data, which directly dictates the quality of what they produce.
Contractual and regulatory reporting

Contractual and regulatory reporting

Every figure you publish can be traced back to its source, with a record of the treatments it has undergone and control over who has the right to view it.
[Projects]

Three data applications in service for our clients

automotiveStellantis

Bringing together six data sources to make a vehicle catalogue queryable in natural language

Spoticar, Stellantis group's used vehicle brand, manages a network of resellers and the classifieds portal that brings them their buyers. The information crucial for a purchase was spread across six non-communicating systems: stock, maintenance, manufacturer documentation, customer reviews, and search histories. Galadrim brought them together into the group's single database, working within its ingestion framework and security rules, then built the dictionary that describes this data using business vocabulary. A buyer asks their question in French and gets the vehicles that match, a dealer manages their stock, all based on the same data.
+100 000referenced vehicles
6systems into one database
2interfaces powered by the same database
Stellantis Logo
SPORTS FEDERATIONFédération Française d'Athlétisme

Utilising twenty years of race results to provide them to licensed members

The Fédération Française d'Athlétisme has preserved the official results of its licensed members for over twenty years, without any means of providing them back to those who produced them. Galadrim designed and developed MyDataRun: the platform incorporates this entire history, makes it queryable, and presents it in the form of evolution curves. Each runner tracks their performance, sets objectives, and compares themselves to the best French athletes, on pages that display in less than 300 milliseconds despite the on-demand calculated volume.
+60Mresults processed
1,2Mof users
<300 msof computation and display
French Athletics Federation Logo
AGRONOMIC RESEARCHSecobra

Query agricultural databases to determine the best varieties

Secobra Recherches conducts its varietal selection work on large volumes of agricultural, genetic, meteorological, and commercial data. Its researchers and sales teams depended on a third party to formulate their queries, and exports to spreadsheets were capped in volume as well as computation time. Galadrim delivered the conversational interface that queries these databases: a text-to-SQL engine covers internal data, a document engine exploits public sources, and the tool directly renders answers, tables, graphs, and exports, within the hosting framework chosen by Secobra.
+10 000queries per month
30 secresponse time
Secobra Logo
[Our method]

Our method for putting a data foundation into production

  • Framing
    Step 01

    Targeted uses and mapping of your sources

    We start from the decisions and products that the data must serve, then we map your sources, their depth, and their reliability. This scope defines what enters the database, and in what order.
  • COLLECTION
    Step 02

    Connection to your internal and external sources

    We deploy collection systems adapted to each source, programming interfaces, file servers, feeds or databases, and equip them with alerts that signal a change before it breaks a process.
  • transformation
    Step 03

    Cleaning, normalisation and modelling

    We industrialise the processing that makes your data comparable, with automated tests at each stage. The same business concept then carries the same value from one system to another.
  • SINGLE DATABASE
    Step 04

    Structured storage, sized for the load

    We structure your database by layers and business domains and size it for your volume as well as your peaks. Execution costs are measured and managed from the moment it goes into service.
  • integration
    Step 05

    Making available in your tools and models

    We connect the database to the tools your teams already use – dashboards, business software, or IA models – in a secure and robust way with your existing information system. Your teams find accessible data in your applications.
  • Sustained operation
    Step 06

    Quality and freshness monitoring

    We continuously monitor data freshness and consistency, and evolve pipelines when your sources or uses change.
01/06
[Why Galadrim?]

Why do companies entrust us with their data projects?

Proven expertise

800+ clients supported, 170+ experts, and 9 years of experience in IA product development, with data foundations in service in industry, the public sector, and research.

All your sources connected and reworked

We connect sources that no one wants to take over – programming interfaces, file servers, XML feeds, spreadsheets, or historical databases – and we monitor them to detect a change before it breaks a process.

A foundation that integrates with your stack

Our engineers work with your current databases and orchestration tools when you have them, and respect your conventions and internal validation processes. You keep your existing foundation and gain the processing you are missing.

Data usable by your business lines

We describe your data using your teams' vocabulary, which allows them to query it in natural language and for your IA agents to rely on it without interpretation errors.

Quality monitored after going into service

Each pipeline includes its automated tests and freshness monitoring. Your teams see the status of each flow and are notified before your users.

Let's bring your project to life together

Contact Us
[Our team]

A team that advises you before building

We recruit and train passionate engineers and experts from the best schools, who combine expertise in artificial intelligence with software engineering skills. This hybrid positioning allows us to design your custom IA and data systems.
Benjamin Drighès
Benjamin Drighès CTO Data & AI
Advises our clients on their product strategy, their long-term AI transformation, and their structuring choices of technologies and approaches, and defines the quality standards for our AI teams.
Quentin Massonnat
Quentin Massonnat AI Tech Lead
Designs the architecture of your data flows, including ingestion, transformation, and warehousing, and oversees developments up to production.
Marc-César Garcia-Grenet
Marc-César Garcia-Grenet AI Engineer
He builds data processing pipelines that feed the models, from connecting sources to their operational use in production.
Félix Monnier
Félix Monnier AI Engineer
Builds and industrialises the pipelines that feed your warehouse, and connects IA models to the prepared data.
Lucien Maillard
Lucien Maillard Principal AI Strategy Consultant
Frames data projects with client management, maps available sources, and qualifies what existing data allows to build.
Pierre-Antoine Dornic
Pierre-Antoine Dornic Principal AI Strategy Consultant
Maps AI use cases, prioritises them by ROI and feasibility, frames the executive boards' roadmaps and manages their deployment until team adoption.
Eva-Garance Tison
Eva-Garance Tison Lead AI Product Manager
Transforms business needs into adopted AI products: frames projects with clients, prioritises the roadmap, manages team Delivery and ensures the impact of delivered solutions.
Naïs Schietecatte
Naïs Schietecatte Senior AI Product Manager
Manages the product cycle of AI solutions, from functional specifications to the control interfaces used daily, in close collaboration with engineers and business users.
[FAQ]

Some frequently asked questions from our clients

Access to your sources in their existing format, and a business contact capable of telling us what each piece of data means to you. We then carry out the mapping of your sources, historical data recovery, and specific processing.
When you already have a warehouse and orchestration tools, we work within them and respect your conventions. We propose a new foundation when it costs less to build than to maintain the existing one.
Collection systems detect changes in structure or the halt of a flow before a dashboard displays incorrect data. Correction is part of maintenance.
We equip each pipeline with automated tests and automatic updates, gathered in a monitoring screen. Your teams see the status of all flows and are notified before your users.
On your own infrastructure, or with a host we choose with you in France or the European Union, depending on the sensitivity of your data. No data leaves the security framework you set.
Yours. Code, pipelines, data models, and documentation belong to you with each delivery. The transfer of rights is contractual from the start.
Each project is scoped according to your requirements and priorities. Describe your context to us, and we will get back to you within 24 hours with an initial assessment.
[Contact us]

Let's bring your project to life together

We work with all types of clients, across all sectors. Whether you're an entrepreneur or managing a large organisation, a tailored team will meet your needs.

Over 800 companies have trusted us to create their web, mobile, and AI products

Your enquiry

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