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Mistral Agency — Paris

Mistral in production,the sovereign, French generative AI.

Scroll integrates Mistral into real-world applications: email qualification, document extraction, business agents, RAG. A French model, hostable in Europe or on your own infrastructure to keep your data out of US services.

Mistral AI chainsovereign
InputEmail · Doc · Question
Mistral API · EU
MistralFR model
Classificationsorting · routing
OCRinvoices · blueprints
Embeddingspgvector
RAGsourced answers
Agentn8n · tools
Data in the EUHosting cloud / self-hosted
01 — Real-world use cases

Mistral in our projects,
real-world use cases.

No demo. Six concrete ways we deploy Mistral in production, from automatic email sorting to sovereign RAG on your documents.

01

Automatic qualification & sorting

Reading emails, tickets or documents and deciding: genuine request or noise, urgent or not, which department. Mistral classifies and routes, as in the Imalize project.

02

Document extraction (OCR)

Invoices, contracts, blueprints, resumes: Mistral reads, extracts useful fields and structures them for your ERP or database. Mistral OCR for complex documents.

03

Internal business assistant

An assistant connected to your data (RAG) that answers your team’s questions: procedures, catalog, knowledge base. Sourced answers, no free hallucination.

04

Agents & automation

Mistral as the decision engine in n8n workflows: it triggers, writes, summarizes, calls tools. AI becomes a step in the process.

05

Generation & reformulation

Writing responses, summaries, rephrasing, translation. Framed by your business rules and tone—not open-ended generation.

06

Sovereign RAG on your documents

Semantic search + generation on your corpus, embeddings stored in pgvector, all hostable in Europe. Your documents never leave your perimeter.

02 — What we address from the start

Controlled AI,
not a demo that hallucinates.

“Plugging in Mistral” and “delivering reliable AI in production” are not the same. The difference lies in four key areas we address from the design phase.

Data sovereignty

Mistral is French and can be hosted in Europe (Mistral cloud or self-hosted on Scaleway/OVH GPUs). Your data never passes through any US service—critical for healthcare, finance, and the public sector.

No free hallucination

We constrain the model: sourced RAG, business rules, safeguards, validation. The AI relies on your data and signals when it doesn’t know, rather than making things up.

The right model for the right cost

Mistral offers multiple model sizes. We select based on the use case (latency, cost, quality) and can mix with other LLMs. No default over-provisioning.

Measured and supervised

Benchmarking on your real cases before launch, quality metrics in production, cost and drift monitoring. AI in production, not in demo mode.

They trusted usView our client cases
Imalize
Sistr
Art Explora
Perfway
Hexa
Bellman
Client case — Imalize

A Mistral agent that qualifies
commercial requests, in a sovereign way.

At Imalize, a Mistral-powered AI agent reads every incoming email—subject, sender, body, and technical attachments—then decides: genuine business opportunity or noise. The French model runs in a self-hosted pipeline: customer data and technical plans never leave the company’s infrastructure, nor do they pass through any US AI service.

Read the Imalize case study
100 %of incoming commercial requests detected and qualified automatically
−90 %less time spent entering requests into the ERP
1 minbetween receiving an email and its qualification
03 — In the stack

How Mistral integrates
into a Scroll AI chain.

Mistral provides the model, generation, OCR, embeddings. Around it, open-source components complete the chain: vector store, orchestration, RAG, self-hosting, supervision.

LayerToolRole
ModelMistral (Large, Small…)Generation, classification, reasoning
OCR & visionMistral OCRDocument, invoice, and blueprint reading
EmbeddingsMistral EmbedVectorization for semantic search
Vector storepgvector / Supabase, QdrantEmbedding storage, search
Orchestrationn8n, LangGraphAgents, workflows, tool calls
RAG / frameworksLangChain, LlamaIndexRetrieval + sourced generation
Self-hostingvLLM, Ollama, GPU ScalewayOpen-source models, sovereign deployment
SupervisionMetrics, costs, SentryQuality, costs, production drift
Mistral componentsSurrounding components
04 — Hosting

Mistral API or self-hosted,
how do we choose?

Mistral can be used via its cloud API (Europe) or self-hosted on GPU. The choice depends on the required level of sovereignty and the volume.

Mistral API

EU Cloud

Mistral’s managed API, hosted in Europe. Immediate start, latest models, no GPU infrastructure to manage. GDPR-compliant for most cases—data does not leave the EU.

Recommended when

No strict self-hosting requirement, moderate to high volume, priority on speed and model quality.

Mistral self-hosted

GPU Scaleway / OVH

Mistral’s open-source models deployed on sovereign GPU (vLLM, Ollama). Your data never leaves your infrastructure. More ops, but full sovereignty.

Recommended when

Highly sensitive data, strict location constraints, very high volume where per-call cost becomes decisive.

05 — FAQ

Frequently asked questions

The questions that come up during scoping. If yours isn’t here, get in touch!

Mistral is French and can be hosted in Europe: for sovereignty and GDPR, this is often decisive. On quality, we benchmark against your real use cases—Mistral is more than sufficient, sometimes we mix with other models. The choice is reasoned, not ideological.

Yes. Via Mistral’s API (hosted in the EU) or self-hosted on sovereign GPU (Scaleway, OVH). In both cases, your data never transits through any US service.

Yes. Mistral’s open-source models can be self-hosted (vLLM, Ollama) on GPU. We size the infrastructure based on the target volume and latency.

We constrain the model: RAG sourced from your documents, business rules, safeguards, human validation for critical cases. The model relies on your data and signals uncertainty rather than inventing.

Benchmarking on a set of real cases before launch, quality metrics tracked in production, iterations on prompts and RAG. We measure, we don’t trust blindly.

No. Mistral excels in many cases, but we select the model based on the task and cost. Sometimes it’s a self-hosted open-source model, sometimes a mix. Sovereignty guides the choice; the use case makes the decision.
Get started

An AI use case, or a sovereignty requirement for your data?

Use case framing, Mistral vs. alternatives benchmark, or production integration: we start from where you are.

Contact details
contact@agence-scroll.com
+33 6 48 03 90 27
20 Rue des Taillandiers
75011 Paris
Response within 24 business hours.