[AI Agents and Automations]

Custom AI agents, cost-effective and reliable in production

Galadrim designs AI agents that automate your most time-consuming business processes, integrated into your tools and kept under the control of your teams.
An ROI defined upfront and measured from the first few weeks
Our secure agents, 100% anchored to your business data
40 AI Engineers from Polytechnique, Centrale, or l’ENS
Mercialys - AI assistant for lease and investment memo analysis
Large corporations, ETIs, SMEs and entrepreneurs: 800+ clients trust us
[Our Expertise]

An AI agent must be designed for your needs, and deliver measurable gains

We design agents rooted in your data, integrated into your tools and supervised by your teams, with success indicators defined upfront with you
Process Automation
01

Process Automation

Specialised agent workflows fully handle repetitive, high-volume tasks, previously carried out manually by your operational teams
Co-pilots and business assistants
02

Co-pilots and business assistants

AI assistants search for useful data and reason autonomously until they achieve their objectives, but your employees systematically validate the responses and actions they propose
Conversational Agents and RAG
03

Conversational Agents and RAG

Specialised conversational agents (chatbots) allow your employees to obtain useful and reliable answers, including data source citations, thanks to an adapted search system (RAG)
Structured Data Agents
04

Structured Data Agents

Structured data search agents (text-to-SQL) transform your business teams' questions into precise queries in your internal databases, and deliver ready-to-use analyses
Voice and Multichannel Agents
05

Voice and Multichannel Agents

Voice and multichannel agents interact directly with your clients in real-time and in multiple languages, across all your communication channels (telephony, email, SMS, WhatsApp)
Multi-agent Systems
06

Multi-agent Systems

Multi-agent systems orchestrate the cooperation of several autonomous agents to accomplish the most complex end-to-end business processes, under the supervision and control of your teams
Two people from behind consulting a laptop displaying an AI chat interface
AI agents often fail on the same pitfalls: random reliability, poor integration into your IS, partial coverage of your real use cases and difficult-to-measure ROI
Benjamin DrighèsAI CTO
[Our method]

Our method for developing your AI agent

  • Framing
    Step 01

    Scoping and use case selection

    We evaluate your use cases based on their ROI and feasibility, and define success indicators with you to focus our efforts on the most useful work.
  • Design
    Step 02

    AI Technical Design

    We choose the AI models, technical approaches (RAG, function calling, etc.) and guardrails adapted to your data and constraints, to maximise your solution's performance.
  • Prototype
    Step 03

    Prototype on your real data

    We test an agent on real cases and volumes, for an initial ROI measurement within the first few weeks, before industrialising.
  • Development
    Step 04

    Development and IS Integration

    We connect the agent to your tools, with a business validation interface where your teams retain control, for adoption and security.
  • Go-live
    Step 05

    Go-live and Supervision

    We continuously monitor the agent's quality and deploy anti-hallucination guardrails, for long-lasting reliability.
  • Sustained operation
    Step 06

    ROI Measurement & Iterations

    We monitor the indicators defined at the outset and continuously improve the agent, for measured then amplified gains.
01/06
[Why Galadrim?]

Why do our clients entrust us with their AI agents?

Proven expertise

800+ clients supported, 170+ experts, 9 years of experience in AI product development.

Prioritisation by business impact

We evaluate your use cases based on their potential return on investment before any technological choice.

Production Engineering

Our agents are developed and maintained by Software Engineers experienced in managing large-scale production applications.

Performance Monitoring

Each deployed agent is measured against concrete business indicators: time saved, volume processed, revenue generated.
[Projects]

AI agents that are already creating value daily

EnergyEffy

Automated processing of CEE files

The manual processing of tens of thousands of CEE files was a major impediment to business growth. We developed Athos, an AI-First platform based on an agent system combining OCR and LLM: it classifies files, verifies their regulatory compliance, and isolates anomalies for instructors. The result: a bottleneck transformed into an industrialised flow, refocusing human effort on added value.
50 000+files / year
98,3 %Time saved per file
Effy Logo
Real estateMercialys

A concrete AI transformation

Mercialys faced numerous time-consuming operational processes and wished to define its AI strategy. We framed the end-to-end approach: establishment of a steering committee, facilitation of a roadmap of projects prioritised by ROI, then deployment of the first four agentic solutions in six months - contract analysis, internal chatbot, investment memo generation, and automated monitoring. A concrete, measurable transformation rooted in the teams' actual practices.
180internal users
4operational AI agents in 6 months
Mercialys Logo
EngineeringAmentum

Automated tender analysis

Manually reading and summarising complex tenders required numerous hours of work per consultation. We developed a bespoke AI agent capable of extracting technical and regulatory requirements from documents spanning several hundred pages, and automatically detecting inconsistencies. The analysis time is now drastically reduced.
+60 %productivity
50active users
1 000tenders processed
Amentum Logo
LegalGide

A document search platform for 1 million documents

Finding a specific clause or contract among over a million documents was a daily challenge for Gide's 500 lawyers. We developed and deployed a generative AI platform allowing searches across the entire corpus, and automatically extracting key metadata from each document. What previously required tedious manual exploration now becomes a query of a few seconds, with precise and contextualised results.
500lawyers
1M+documents
2 000+searches / day
Gide Logo
PRIVATE SALESShowroomprivé

Automatically write 400,000 product sheets per year

Showroomprivé engaged a team of thirty employees to write its product sheets, at a rate of five minutes per sheet, for a catalogue that renews with each sale. Galadrim developed a web application that generates descriptions for an entire sale, based on product characteristics as well as their photographs. Teams now proofread and edit instead of writing, and put a sale online with a consistent level of detail from one reference to another.
400ksheets produced per year
700 k€saved per year
+400 %productivity
Showroomprivé Logo
INSURANCE BROKERAGEOdealim

Processing tens of thousands of customer requests using AI agents

A major player in insurance brokerage, Odealim receives tens of thousands of customer requests via email each month, which are challenging to process at scale while maintaining service quality. Galadrim designed a system of AI agents that classifies requests, searches for useful information in contracts and files, and generates response proposals. Each response is validated by the business teams via a dedicated interface, with human oversight for sensitive matters.
200daily users
50 000+responses processed per month
+150 %productivity
Odealim Logo
They talk about us
[Our team]

A team that advises you before building

Our AI agents are designed and deployed by our Data & AI division: a team that masters both model design and their industrialisation in production, and transforms 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 structuring choices of technologies and approaches, and defines the quality standards for our AI teams.
Quentin Massonnat
Quentin Massonnat AI Tech Lead
Designs our clients' bespoke AI software solutions using the most powerful market technologies, and oversees developments up to production deployment.
Marc-César Garcia-Grenet
Marc-César Garcia-Grenet AI Engineer
Develops complete applications in production and agentic systems based on Large Language Models, and advises clients on their product on a daily basis.
Félix Monnier
Félix Monnier AI Engineer
Builds the document search engines that anchor the agent to your data, and measures the quality of its responses against test cases validated by your business experts.
Lucien Maillard
Lucien Maillard Principal AI Strategy Consultant
Frames the agent with your business departments: the journey to transform and the achievable gain are qualified before any development.

Let's bring your project to life together

Contact Us
[FAQ]

Some frequently asked questions from our clients

Yes. Classic automation follows fixed rules; a chatbot answers questions. An AI agent reasons, decides, and acts on a process (classify, search, control, generate, trigger an action), adapting to specific cases, where rules explode in complexity.
We define success indicators before starting and track them in production: time saved, volume processed, productivity (e.g., +150% at Odealim, −92% of time per file at BEM Riviera).
Three levers: the anchoring on your data (RAG, cited sources), guardrails and continuous quality evaluation, and especially the human-in-the-loop : the agent proposes, your teams validate via a dedicated interface (as at Odealim or Effy).
According to your requirements: hosting in Europe (Azure OpenAI), anonymisation, and up to a 100% proprietary infrastructure when sovereignty requires it, such as for Okantis' health data.
After a 2 to 4-week scoping phase, a first agent can be prototyped in a few weeks. For example, we delivered 4 operational agents in 6 months for Mercialys.
You do. We deliver a bespoke solution which you own, without captive dependency. The choice of language model can remain free and modular.
Our agents connect to your IS (ERP, customer files, internal APIs): for example, Easton's agent is connected to the platform Fulll.io, and Odealim's to insurance files and contracts.
[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

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