Poitiers · Montreal

Data & AI consulting and development, from idea to production.

We design Data & AI solutions tailored to your business, integrate them into your information system and run them over time.

Your data stays under your jurisdiction, in Europe or in Canada, depending on your regulatory and hosting constraints.

  • ADEME
  • Straténergie
  • Neoloji
  • 500+ organisations equipped
how we work with you

From idea to production

DPLIANCE supports companies and public organisations at every stage of their Data & AI projects: identifying the right use cases, building the solution, putting it into production and maintaining it over time.

Consulting

Identify the projects that genuinely deserve to be built.

We analyse your processes, your data and your constraints to identify the use cases where Data or AI can deliver a measurable gain.

By the end of the scoping phase, you know what is worth building, with which data, under which regulatory constraints and in which order of priority.

  • Use cases
  • Feasibility
  • Data
  • GDPR / Law 25
  • Architecture
  • Budget

Custom development

Build a solution that fits your business, not the other way round.

We design and develop applications that integrate with your existing tools and processes.

Document extraction and analysis, document assistants, workflow automation, classification, prediction, segmentation or line-of-business applications: the technology is chosen to fit the problem to be solved.

Explore our expertise

Operations

Keep the solution working over time.

A Data or AI solution does not end at go-live. Data changes, usage shifts and models need to be monitored.

We handle monitoring, maintenance and continuous improvement of the solutions we build. When something goes wrong, you talk directly to the engineers who know your project.

Talk to an engineer
our method

A method designed to reduce risk.

A Data or AI project should not start with several months of development.

We move forward step by step, on your data and under your real conditions, so that each stage is validated before investing in the next.

  1. Scoping

    30 minutes

    We look at your need, the data available, the technical constraints and the applicable regulatory framework. The goal is to quickly identify what is worth exploring further and the main feasibility conditions.

  2. Prototype

    4 to 8 weeks

    We build a first version on a representative sample of your data. You can then assess the results on your own use case before committing to industrialisation.

  3. Go-live

    depends on the project

    The solution is integrated into your information system, secured, documented and deployed in the environment that fits your constraints. Hosting can be in Europe, in Canada or on your own infrastructure.

  4. Operations

    over time

    We monitor the solution, fix issues and evolve it alongside your usage. The engineers who built your solution stay involved after go-live.

since 2019

DPLIANCE in a few figures

500+
organisations equipped with our compliance software
43 days
of work recovered each year at Straténergie thanks to a custom-built solution
France & Canada
a presence in Poitiers and Montreal
< 24 business hours
to get an answer from our team
why dpliance

Why DPLIANCE?

Within your jurisdiction — GDPR or Quebec’s Law 25
  1. Your documents
  2. European hosting
  3. European AI model

No data leaves Europe.

We aim for production, not demonstration

A prototype is only worth something if it can become a tool people actually use. From the outset we think about integration, security, monitoring, running costs and maintenance.

Your data stays under your jurisdiction

The architecture is defined around your constraints: European hosting under GDPR, Canadian hosting when the project falls under Law 25, or deployment on your own infrastructure. The choice of hosting and technology is part of designing the project, not a correction bolted on at the end.

You keep control of your solution

We favour open, reversible architectures. For work built specifically for your organisation, ownership and reversibility terms are agreed at the start of the project, to avoid any unnecessary dependency on DPLIANCE or on a proprietary platform.

field feedback

What they say about it.

frequently asked questions

Questions to ask before you start

01

What kind of Data or AI project can you work on?

We mainly work on projects where data can automate, assist or improve a business process: document analysis, internal assistants, workflow processing, prediction, classification, data exploitation or line-of-business applications.

We can step in at the thinking stage or take over a project already under way.

02

Where are your solutions hosted?

It depends on the project.

Our own products are hosted in Europe. For custom development, we define the architecture around your jurisdiction and your constraints: Europe, Canada or internal infrastructure.

That choice is settled at design time and documented with you.

03

How much does a Data or AI project cost?

The budget depends mainly on the data available, the complexity of the problem and how deeply the solution integrates with your information system.

We work in stages so that feasibility and results are validated before the larger development work is committed.

A first 30-minute conversation with an engineer is usually enough to determine the scope worth studying.

04

Do I own the code you develop?

For work built specifically for your organisation, ownership of the code, the components involved and the reversibility terms are set out contractually at the start of the project.

Our aim is that you keep control of your solution and of how it evolves.

Frequently asked questions about DPLIANCE and AI

01

What is a sovereign AI agency?

A sovereign AI agency designs and ships solutions while keeping control of where the data sits, which technical suppliers are involved, which models are used and what the reversibility terms are.

At DPLIANCE, the architecture is defined according to the framework that applies to the project: GDPR in Europe, Law 25 in Quebec, or your organisation's own constraints.

Learn more about our sovereign AI expertise
02

Which AI agency should you choose for a project under GDPR?

Compliance does not depend on the supplier alone, but on the architecture of the whole project.

Before starting, you need to know where the data will be hosted, which subprocessors can access it, which models will be used and how the solution could be taken over or migrated.

DPLIANCE has been working on these questions since 2019 and also builds software used by more than 500 organisations in the compliance field.

03

How much does an AI agency cost?

The cost depends on the use case, the data available, the depth of integration and the security or compliance requirements.

We usually break projects into several stages so their value is confirmed before industrialisation is committed.

A prototype on representative data generally takes several weeks; the go-live schedule then depends heavily on the information system to integrate with.

04

Can Mirage Analytics be used without a cookie banner?

Yes. Mirage is designed for the CNIL consent exemption, with no special configuration.

It uses no third-party cookies, no fingerprinting and no persistent identifiers, and IP addresses are anonymised at collection.

You can therefore measure your audience without showing an analytics banner.

Discover Mirage Analytics
05

Why choose Mirage over Google Analytics?

Mirage answers a different need.

It brings together in one tool what others sell as four: analytics, session replay, conversion optimisation and SEO. It all fits on a dashboard you can understand without training.

The data is hosted in France, at Scaleway, and is not used to feed an advertising ecosystem.

Compare the two approaches
06

Where are DPLIANCE solutions hosted?

Our products are hosted in Europe.

For custom projects, hosting is defined according to the client's constraints: a European environment, a Canadian one or internal infrastructure.

The choice of hosting, suppliers and models is part of the technical scoping of the project.

contact

Let's talk about your project.

A process to automate? Data that is hard to exploit? An AI project to scope? Present it directly to an engineer. The first conversation lasts 30 minutes and commits you to nothing: we go through the need, the data available and the main technical or regulatory constraints.


Poitiers, France Montréal, Canada

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