THE FOUNDATION
Cloud & platforms
Migrate, modernise and run your infrastructure. With readable costs and an architecture that holds up under load.
A cloud foundation ready to growArchitecture, access and security in one place
AWS / Azure / GCPYour cloud under control.Your AI in production.
Feekr is a cloud and AI consulting firm based in Lille, France. We build your cloud foundation on AWS and Azure and put AI to work in your organisation, with cost control, security and governance from day one.
They have trusted Feekr.
[ OUR EXPERTISE ]Two areas of expertise.
Two areas of expertise.
One standard of rigour.
Solid foundations. Useful applications. And the means to make them last.
THE APPLICATIONS
AI & automation
Take AI from prototype to operations. Solutions integrated into your tools, evaluated and governed.
Your environment.
Our starting point.
We start from your information system, your data and your constraints to choose the right services. AWS, Azure or Google Cloud, with models and tools suited to each use case.
Let’s build the right architecture
[ OUR APPROACH ]From the first assessment
From the first assessment
to life in production.
At every stage, shared decisions and deliverables your teams can make their own.
The right path,
before the first line of code.
We bring together business priorities, the existing technical estate, data quality and security constraints to define a useful, realistic scope.
WHAT YOU COME AWAY WITHA shared assessment and a prioritised roadmap.
[ BUILT FOR PRODUCTION ]Performance is not enough.
Performance is not enough.
You have to be able to trust it.
Costs, risks and responsibilities are part of the architecture. They are managed throughout the life of your solutions.
Costs understood.
Informed trade-offs.
Make cloud and AI spending readable, track how it evolves and focus resources where they create value.
Every action has its rules.
Every decision, its trace.
Controlled access, documented evaluations and human oversight wherever the consequences call for it.
Your data stays within bounds.
Classification, access rights, hosting choices and retention rules to match your constraints.
Your rules become controls.
Evaluations, guardrails, human approval and incident tracking built into your processes.
Your teams stay in control.
Documentation, knowledge transfer and clear responsibilities to run your solutions over time.
[ YOUR QUESTIONS ]Before
Before
we get started.
The starting point is your context.
Here is how we approach it.
Where should we start: cloud or AI?
With your business priority. An AI use case can start on your current environment, and a cloud migration does not require adding AI. The initial assessment helps us choose a useful first workstream, with its dependencies, its risks and shared success criteria.
Can you migrate our on-premise infrastructure to the cloud?
Yes. We assess your applications, data and dependencies, then define a migration path to AWS or Azure. The migration is prepared in waves, with testing, a cutover strategy and a rollback plan suited to your business continuity requirements.
How do you choose between AWS and Azure?
We start from your existing ecosystem, your teams’ skills, your hosting requirements and the cost of running the platform. The goal is an architecture that fits your use cases, whether on a single cloud, hybrid or multi-cloud where that is justified.
What does “industrialising AI” mean?
Moving from a prototype to a solution the organisation can actually run: integration with business tools, access to the right data, quality evaluation, version management, cost tracking, monitoring and incident procedures. The model is only one part of the work.
How do you manage cloud and AI costs?
We establish a baseline, allocate spending to the right use cases and set budgets and alerts. We then review sizing, unused resources, and the choice of services and models. Optimisations are measured on your own data, with no flat-rate savings promises.
How do we keep control over AI agents?
By limiting their permissions and defining which actions are allowed and which steps require human approval. We also put in place logging, evaluations and the ability to suspend an action. These rules are defined with your business teams, your IT department and your security team.
Do you work with our in-house teams?
Yes. We shape the engagement with your technical and business teams, and with your partners where relevant. Documentation, shared decisions and knowledge transfer are part of the work from the scoping stage.
From cloud to AI.
Let’s get to work.
A migration to prepare, costs to clarify,
a use case to bring to life. Let’s talk.