[Data engineering]

Your data foundation: reliable, fast and ready for AI

We collect, structure and unify your data so your people, your internal tools and your AI models can put it to work easily.
200+ data pipelines in production for our clients
80% less manual consolidation on average
140+ senior tech profiles from France's top schools: Polytechnique, Centrale and ENS
Talk to an expertSee 3 case studies
Data engineering: a data pipeline, from source collection to analysis
800+ organisations trust us with their tech and AI projects
[Our specialities]

Example use cases

We connect your sources, industrialise their processing and bring them together in a warehouse sized for your workload, with continuous quality monitoring.
Consolidating scattered sources

Consolidating scattered sources

Data spread across your ERP, your CRM and files nobody cross-checks ends up in a single warehouse, with the same formats and the same definitions, queryable in one go
Putting dormant historical data to work

Putting dormant historical data to work

Years of accumulated history become a queryable database, presented back both to decision-makers and to the people who produce the data but never see the results
Giving your business teams access to data

Giving your business teams access to data

Your teams query data in plain English and pull their own tables, thanks to a dictionary that describes your KPIs in the language of your business
Feeding your AI models and agents

Feeding your AI models and agents

Your predictive models and AI agents work on data that is reliable, complete and up to date, which directly determines 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 each transformation it has been through and control over who is allowed to see it
[Our work]

Three data applications running for our clients

automotiveStellantis

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

Spoticar, the Stellantis group's used-vehicle brand, runs a network of dealers and the listings portal that brings them their buyers. The information that drives a purchase was spread across six systems that didn't talk to each other: stock, maintenance, manufacturer documentation, customer reviews and search histories. Galadrim brought them together in the group's single database, working inside its ingestion framework and security rules. We then built the dictionary that describes this data in the language of the business. A buyer asks a question in everyday French and gets the vehicles that match; a dealer manages their stock. Both work from the same data.
+100 000vehicles listed
6systems in one database
2interfaces powered by the same database
Stellantis Logo
SPORTS FEDERATIONFédération Française d'Athlétisme

Turning twenty years of race results into insight for registered athletes

The Fédération Française d'Athlétisme, France's national athletics federation, has kept its registered athletes' official results for more than twenty years, with no way of giving them back to the people who produce them. Galadrim designed and built MyDataRun. The platform takes in the entire history, makes it queryable and presents it as progress charts. Every runner tracks their performance, sets goals and compares themselves with the best in France. Pages load in under 300 milliseconds, despite the volume calculated on demand.
60M+results processed
1.2Musers
<300 msto calculate and display
Fédération Française d'Athlétisme Logo
AGRICULTURAL RESEARCHSecobra

Querying agricultural databases to identify the best varieties

Secobra Recherches carries out its plant breeding work on large volumes of agricultural, genetic, weather and commercial data. Its researchers and sales staff relied on a third party to write their queries, and spreadsheet exports hit limits on both volume and processing time. Galadrim delivered the conversational interface that queries these databases. A text-to-SQL engine covers internal data, a document search engine handles public sources, and the tool returns answers, tables, charts and exports directly, within the hosting set-up Secobra chose.
+10 000queries per month
30 secresponse time
Secobra Logo
[How we work]

How we put a data foundation into production

  • Scoping
    Step 01

    Target uses and mapping your sources

    We start from the decisions and products the data has to serve, then map your sources, their depth and their reliability. That scope sets what goes into the database, and in what order.
  • COLLECTION
    Step 02

    Connecting to your internal and external sources

    We deploy the right collection system for each source: APIs, file servers, streams or databases. Each one comes with alerts that flag a change before it breaks a pipeline.
  • transformation
    Step 03

    Cleaning, normalisation and modelling

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

    Structured storage, sized for the load

    We structure your database in layers and by business domain, and size it for your volumes and your peaks. Running costs are measured and managed from go-live.
  • integration
    Step 05

    Making data available in your tools and models

    We connect the database to the tools your teams already use (dashboards, business software or AI models) securely and robustly, in line with your existing IT systems. Your teams find the data right inside their applications.
  • long-term running
    Step 06

    Monitoring quality and freshness

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

Why do companies trust us with their data projects?

Proven expertise

800+ clients supported, 170+ experts and 9 years' experience building AI products, with data foundations running in industry, the public sector and research.

All your sources connected and reworked

We connect the sources nobody wants to take on: APIs, file servers, XML feeds, spreadsheets or legacy databases. Then we monitor them to catch a change before it breaks a pipeline.

A foundation that fits into your tech stack

Our engineers work with your current databases and your orchestration tools if you have them, and follow your conventions and internal approval processes. You keep your existing foundation and gain the processing you were missing.

Data your business teams can use

We describe your data in your teams' own vocabulary. That way they can query it in natural language, and your AI agents can rely on it without misreading it.

Quality monitored after go-live

Every pipeline comes with its own automated tests and freshness monitoring. Your teams see the status of every flow and are alerted before your users notice anything.

Let's bring your project to life together

Contact us
[Our team]

A team that advises you before it builds

We recruit and train passionate engineers and experts from the best schools, who combine AI expertise with software engineering skills. This hybrid profile means we can design bespoke AI and data systems for you.
Benjamin Drighès
Benjamin Drighès CTO, Data & AI
Advises our clients on their product strategy, their long-term AI transformation and their key choices of technology and approach, and sets the quality standards for our AI teams.
Quentin Massonnat
Quentin Massonnat AI Team Lead
Designs the architecture of your data flows, from ingestion and transformation to the warehouse, and oversees development through to go-live.
Marc-César Garcia-Grenet
Marc-César Garcia-Grenet AI Team Lead
He builds the data processing pipelines that feed the models, from connecting the sources to running them in production.
Félix Monnier
Félix Monnier AI Team Lead
Builds and industrialises the pipelines that feed your warehouse, and connects AI models to the prepared data.
Lucien Maillard
Lucien Maillard Principal AI Strategy Consultant
Scopes data projects with client leadership teams, maps the available sources and assesses what the existing data can realistically support.
Pierre-Antoine Dornic
Pierre-Antoine Dornic Principal AI Strategy Consultant
Maps AI use cases, prioritises them by ROI and feasibility, scopes leadership teams' roadmaps and oversees roll-out through to adoption by the teams.
Eva-Garance Tison
Eva-Garance Tison Lead AI Product Manager
Turns business needs into AI products people actually use: scopes projects with clients, prioritises the roadmap, steers team delivery and makes sure the solutions delivered have real impact.
Naïs Schietecatte
Naïs Schietecatte Senior AI Product Manager
Runs the product cycle for AI solutions, from functional specifications to the control interfaces used day to day, working closely with engineers and business users.
[FAQ]

A few questions our clients often ask

Access to your sources in whatever format they already exist, and a business contact who can tell us what each piece of data means in your organisation. We then handle the mapping of your sources, the migration of historical data and any specific processing.
If you already have a warehouse and orchestration tools, we work within them and follow your conventions. We suggest a new foundation when it costs less than maintaining what you have.
The collection systems detect a structural change or a stopped feed before any dashboard displays incorrect data. Fixing it is part of maintenance.
We equip every pipeline with automated tests and automatic refreshes, all brought together on a single monitoring screen. Your teams see the status of every flow there and are alerted before your users notice anything.
On your own infrastructure, or with a hosting provider we choose together in France or the European Union, depending on how sensitive your data is. No data leaves the security perimeter you set.
You do. Code, pipelines, data models and documentation belong to you with every delivery. The transfer of rights is written into the contract from day one.
Every project is sized to your scope and priorities. Tell us about your context and we'll come back to you within 24 hours with an initial assessment.
[Contact us]

Let's bring your project to life together

We work with every kind of client, across every industry. Whether you are an entrepreneur or lead a large organisation, we put together a team that fits your need.

More than 800 companies have trusted us to build their web, mobile and AI products

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