[AI agents and automation]

Bespoke AI agents that pay their way and stay reliable in production

We design AI agents that automate your most time-consuming business processes. They plug into your tools and stay under your teams' control.
ROI defined upfront and measured from the first few weeks
Secure agents, 100% grounded in your business data
40 AI engineers from France's top schools: Polytechnique, Centrale and ENS
Talk to an AI engineerSee 6 use cases with real ROI
Mercialys - AI assistant for analysing leases and investment memos
Large groups, mid-sized companies, SMEs and entrepreneurs: 800+ clients trust us
[Our specialities]

An AI agent should be designed around your needs, and deliver a measurable gain

We design agents grounded in your data, built into your tools and supervised by your teams, with success metrics agreed with you upfront
Process automation
01

Process automation

Workflows of specialised agents take full charge of repetitive, high-volume tasks that your operations teams used to handle by hand
Copilots and business assistants
02

Copilots and business assistants

AI assistants find the data they need and reason autonomously until they reach their goals, but your staff always sign off the answers and actions they suggest
Conversational agents and RAG
03

Conversational agents and RAG

Specialised conversational agents (chatbots) give your staff useful, reliable answers with their sources cited, thanks to a search system built for your data (RAG)
Agents for structured data
04

Agents for structured data

Structured-data search agents (text-to-SQL) turn your business teams' questions into precise queries on your internal databases, and return ready-to-use analyses
Voice and multichannel agents
05

Voice and multichannel agents

Voice and multichannel agents talk directly to your customers in real time and in several languages, across all your communication channels (phone, email, SMS, WhatsApp)
Multi-agent systems
06

Multi-agent systems

Multi-agent systems coordinate several autonomous agents to carry out your most complex business processes from start to finish, under your teams' supervision and control
Two people seen from behind looking at a laptop showing an AI chat interface
AI agents tend to fail for the same reasons: hit-and-miss reliability, poor integration with your IT systems, only partial coverage of your real-world cases, and ROI that is hard to measure
Benjamin DrighèsAI CTO
[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. That way we focus our effort 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 your constraints, to get the best performance from your agent.
  • Prototype
    Step 03

    Prototype on your real data

    We test an agent on real cases and real volumes, so you get a first ROI measurement within the first few weeks, before we scale up.
  • Development
    Step 04

    Development and integration with your IT systems

    We connect the agent to your tools and add a validation interface where your teams stay in control. That drives adoption and keeps things secure.
  • Go-live
    Step 05

    Go-live and monitoring

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

    ROI measurement & iterations

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

Why do our clients trust us with their AI agents?

Proven expertise

800+ clients supported, 170+ experts, 9 years' experience building AI products.

Prioritised by business impact

We assess your use cases by their potential return on investment before making any technology choice.

Production-grade engineering

Our agents are built and maintained by software engineers experienced in running applications in production at scale.

Performance tracking

Every agent we deploy is measured against concrete business metrics: time saved, volume processed, revenue generated.
[Our work]

AI agents already delivering value every day

EnergyEffy

Automated review of energy savings certificate (CEE) files

Reviewing 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 sorts files, checks their regulatory compliance and flags anomalies for the reviewers. The result: a bottleneck turned into an industrial-scale process, with human effort refocused on where it adds value.
50 000+files / year
98,3 %Time saved per file
Effy Logo
PropertyMercialys

An AI transformation that delivers

Mercialys was dealing with many time-consuming operational processes and wanted to define its AI strategy. We scoped the whole programme from start to finish: setting up a steering committee, running a roadmap of projects prioritised by ROI, then deploying a first four agent-based solutions in six months – contract analysis, an internal chatbot, investment memo generation and automated market monitoring. A transformation that is concrete, measurable and rooted in how the teams actually work.
180internal users
4AI agents operational in 6 months
Mercialys Logo
EngineeringAmentum

Automated tender analysis

Reading and summarising complex tender documents by hand took many hours of work per bid. We built a bespoke AI agent that extracts technical and regulatory requirements from documents running to several hundred pages, and automatically detects inconsistencies. Analysis time has been cut drastically.
+60 %productivity
50active users
1 000tenders processed
Amentum Logo
LegalGide

A document search platform covering 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 that takes a few seconds, with precise, contextualised results.
500lawyers
1M+documents
2 000+searches / day
Gide Logo
FLASH SALESShowroomprivé

Automatically writing 400,000 product descriptions a year

Showroomprivé had a team of thirty people writing its product descriptions, at five minutes each, for a catalogue that changes with every sale. Galadrim built a web application that generates the descriptions for an entire sale, from both the product specifications and the photographs. The teams now review and tweak instead of writing from scratch, and put each sale online with the same level of detail from one item to the next.
400kdescriptions produced a year
€700ksaved a year
+400 %productivity
Showroomprivé Logo
INSURANCE BROKINGOdealim

Handling tens of thousands of customer requests with AI agents

A major player in insurance broking, Odealim 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 validate every reply through a dedicated interface, so people stay in control of sensitive matters.
200daily users
50 000+replies handled per month
+150 %productivity
Odealim Logo
[Our team]

A team that advises you before it builds

Our AI agents are designed and deployed by our Data & AI team: people who are as skilled at designing models as at running them in production, and who turn a business challenge into a reliable solution.
Benjamin Drighès
Benjamin Drighès Partner and CTO
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 bespoke AI software for our clients using the best-performing technologies on the market, and oversees development all the way to go-live.
Marc-César Garcia-Grenet
Marc-César Garcia-Grenet AI Team Lead
Builds complete production applications and agentic systems based on large language models, and advises clients on their product day to day.
Félix Monnier
Félix Monnier AI Team Lead
Builds the document search engines that ground the agent in your data, and measures the quality of its answers against test sets validated by your domain experts.
Lucien Maillard
Lucien Maillard Principal AI Strategy Consultant
Scopes the agent with your business units: the process to transform and the achievable gain are defined before any development starts.

Let's bring your project to life together

Contact us
[FAQ]

Some questions our clients often ask

Yes. Traditional automation follows fixed rules; a chatbot answers questions. An AI agent reasons, decides and acts on a process (sorting, searching, checking, generating, triggering an action). It adapts to edge cases, exactly where rule-based systems become unmanageably complex.
We define success metrics before we start and track them in production: time saved, volume processed, productivity (e.g. +150% at Odealim, −92% time per file at BEM Riviera).
We rely on three things: grounding in your data (RAG, cited sources), guardrails with continuous quality evaluation, and above all human-in-the-loop: the agent suggests, your teams validate through a dedicated interface (as at Odealim and Effy).
It depends on your requirements: hosting in Europe (Azure OpenAI), anonymisation, and even a 100% proprietary infrastructure where sovereignty demands it, as with Okantis's health data.
After 2 to 4 weeks of scoping, a first agent can be prototyped within a few weeks. For example, we delivered 4 working agents in 6 months for Mercialys.
You do. We deliver a bespoke solution that you own, with no lock-in. The choice of language model can stay open and modular.
Our agents connect to your IT systems (ERP, customer files, internal APIs). For example, Easton's agent is connected to the Fulll.io platform, and Odealim's to its insurance files and contracts.
[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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