[Technology and AI partner]

Bespoke AI products that pay for themselves and stay reliable in production

Consulting, bespoke development, training and data science: Galadrim is the AI transformation partner for ambitious companies.
150+ AI solutions deployed and paying off for our clients
€30m in measured gains for our clients in 2025
40 AI engineers from France's leading schools: Polytechnique, Centrale and ENS
Effy - Athos dashboard for tracking the processing of CEE energy savings certificate files
More than 800 organisations supported: manufacturers, service operators, banks and software vendors trust our teams with their data projects
[Our team]

An expert team, from consulting to development

We recruit and train passionate engineers and experts from the best schools, who combine AI expertise with software engineering skills. This hybrid profile lets us design your bespoke AI systems and run them reliably in production at scale.
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 our clients' bespoke software architectures using the best-performing technologies, and oversees critical development work through to go-live.
Félix Monnier
Félix Monnier AI Team Lead
Builds complete software applications in production and integrates bespoke AI components, while advising clients on their technical choices day to day.
Marc-César Garcia-Grenet
Marc-César Garcia-Grenet AI Team Lead
Builds complete applications in production and agentic systems based on large language models, and advises clients on their product day to day.
Lucien Maillard
Lucien Maillard Principal AI Strategy Consultant
Assesses the technical feasibility of your use cases: the real state of your data, candidate approaches and models, integration and cost constraints. Then agrees the target architecture with your teams.
Pierre-Antoine Dornic
Pierre-Antoine Dornic Principal AI Strategy Consultant
Maps AI use cases, prioritises them by ROI and feasibility, scopes departmental roadmaps and steers roll-out through to adoption by staff.
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 every solution delivered has a 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 every day, working closely with engineers and business users.
[Our approach]

How we build your AI agent

  • Scoping
    Step 01

    Scoping and choosing the use case

    We assess your use cases by ROI and feasibility, and agree success metrics with you, so we focus on the work that matters most.
  • Design
    Step 02

    AI technical design

    We choose the AI models, technical approaches (RAG, function calling, etc.) and guardrails that suit your data and constraints, to get the best performance from your solution.
  • Prototype
    Step 03

    Prototype on your real data

    We test an agent on real cases and real volumes, for a first measure of ROI within the first few weeks, before scaling up.
  • Development
    Step 04

    Development and integration with your IT systems

    We connect the agent to your tools and give your business teams a validation interface where they stay in control: good for adoption, good for security.
  • Go-live
    Step 05

    Go-live and monitoring

    We monitor the agent's quality continuously and put anti-hallucination guardrails in place, so it stays reliable over time.
  • continuous improvement
    Step 06

    Measuring ROI & iterating

    We track the metrics agreed at the start and keep improving the agent, so gains are first measured, then amplified.
01/06
[Why Galadrim?]

Why companies trust us with their AI projects

Extensive experience of AI in production

We have delivered several hundred AI products that are up and running: deployed at scale, widely adopted by operational teams and profitable for our clients.

Expert, all-round engineers

Our engineers can build bespoke AI applications and agentic systems, advise you on your strategy and train your business teams.

A close watch on the latest technology

We continuously build the latest technological advances into our recommendations and our approaches.

A partner's approach

We build long-term relationships of trust with all our clients. We act as their sparring partners and build their AI solutions as if they were our own.
[Our work]

AI products that pay off for our clients

EnergyEffy

Automated processing of CEE energy savings certificate files

Processing tens of thousands of CEE files by hand was holding back the growth of the business. We built Athos, an AI-first platform based on a system of agents combining OCR and LLMs: it classifies files, checks their regulatory compliance and flags anomalies for the case handlers. The result: a bottleneck turned into a streamlined, high-volume process, with human effort refocused where it adds value.
50 000+files / year
98,3 %Time saved per file
Effy Logo
LegalGide

A document search platform across 1 million documents

Finding a specific clause or contract among more than a million documents was a daily challenge for Gide's 500 lawyers. We built and deployed a generative AI platform that searches the entire corpus and automatically extracts the key metadata from each document. What used to mean tedious manual digging is now a query of a few seconds, with precise, contextualised results.
500lawyers
1M+documents
2 000+searches / day
Gide Logo
FLASH SALESShowroomprivé

Automating product page production at scale with AI

Showroomprivé publishes hundreds of thousands of product pages every year: slow, costly manual work at that scale. We designed and built an AI application that generates these pages automatically from the images and data supplied by vendors. A validation interface lets the team adjust the generated content where needed. The application cut time to market from 7 days to 3 and increased the operational team's productivity tenfold.
400 000product pages per year
€700ksaved per year
×4Team productivity
Showroomprivé Logo
INDUSTRIAL LOGISTICSGroupe Blondel

Running a shipyard's lifting equipment at full capacity

Groupe Blondel needed to make full use of its lifting equipment, manage consignment flows and assign its teams every day at the Chantiers de l'Atlantique shipyard. Galadrim built a business application that brings all these constraints together: an algorithm forecasts consignment volumes, an interface books lifting slots and an allocation engine assigns teams according to business rules. Personalised schedules go out automatically every day.
100 %of schedules automated
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INSURANCE BROKINGOdealim

Handling tens of thousands of customer requests with AI agents

Odealim, a major player in insurance broking, receives tens of thousands of customer requests by email every month. Handling them at scale without letting service quality slip was a real challenge. Galadrim designed a system of AI agents that classifies requests, finds the relevant information in contracts and files, and drafts suggested replies. Business teams sign off every reply through a dedicated interface, so people stay in control on sensitive matters.
200daily users
50 000+replies handled per month
+150 %productivity
Odealim Logo
ENGINEERINGAmentum

Analysing tenders with document AI

Amentum, an international engineering group, was facing a growing volume of complex tenders, with hundreds of pages to read by hand for each one. Galadrim built an AI solution that reads the tender documents and extracts the full list of requirements. It shows the page each requirement comes from, flags contradictions between documents and answers questions about the tender.
1 000+tenders processed
+60 %productivity
100 %requirements extracted
Amentum Logo
PREPARATORY CLASSESMathexIA

Giving every prep student their own maths practice programme

The Commercia prep school wanted to speed up the progress in maths of its students on the ECG track, which prepares them for France's top business schools. Maths is a subject they mostly work on alone, and teacher feedback only comes after the fact. Galadrim built MathexIA, an application that assesses each student's level, generates exercise sheets and quizzes on demand targeted at their gaps, then marks their work. Each student follows a path built for them, and the teacher starts each lesson with the class's real sticking points.
+3 000student users
+5 000exercises generated
MathexIA Logo

Let's bring your project to life together

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[Testimonials]

What our clients say

  • SME
  • Large enterprise
[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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