Industrialising AI on a group-wide Azure platform
Turning AI pilots into production services on a shared Azure platform, with automated delivery and an API management layer in front of every model.
Cloud, DevOps, software and AI engineering by senior engineers, from architecture to production.
14 years
in enterprise IT and operations
Insurance · Banking · Assistance
regulated sectors we know
−60 %
cloud cost on a critical API platform
≈ 100 apps
migrated off obsolete systems
01 Services
We work where infrastructure, delivery and software meet. Most of our engagements span more than one of these.
Landing zones, migrations and hybrid platforms on Azure, AWS, Scaleway or your own datacentre. Built as code, governed from day one, with the bill under control.
CI/CD platforms, software factories, infrastructure as code and observability. Fewer manual steps, faster releases, and incidents you see before your users do.
API-first architecture, microservices, API gateways and event-driven integration. Software that is modular, tested and documented, built by engineers who also run it.
AI platforms, LLM integration, retrieval-augmented assistants and data pipelines, industrialised with the same rigour as the rest of your systems, and ready for the EU AI Act.
02 Selected projects
Client names stay confidential. The engineering does not.
Turning AI pilots into production services on a shared Azure platform, with automated delivery and an API management layer in front of every model.
An obsolescence programme covering about a hundred applications, plus an on-premise Kubernetes platform aligned with the group's Azure services.
≈ 100applications migrated off obsolete systems
Operating and automating the APIs behind the insurer's customer relationship core, while cutting their cloud costs by more than half.
24APIs operated and monitored
03 How we work
Architecture reviews, cloud and FinOps audits, platform roadmaps. A clear diagnosis and a plan your teams can execute.
Senior engineers embedded in your squads, following your rituals and tooling, with knowledge transfer built in.
A defined scope, a committed outcome: a landing zone, a migration, a CI/CD platform, an AI service in production.
We operate what we build: monitoring, incident response, upgrades and cost control, under agreed service levels.
04 Technology-agnostic
Public cloud, private cloud or both. Kubernetes or serverless. We have shipped on most of the platforms large organisations rely on, and we pick tools for your constraints, not our habits.
05 Our solutions
We build what we recommend. Djinn brings ready-to-use AI services together behind one API, hosted in France, with every decision traceable.
06 Values
Everything as code, every decision written down. What we build can be reviewed, reproduced and handed over.
European hosting and data residency whenever the use case allows, and a clear view of the trade-offs when it does not.
We adapt to your platforms and contracts. Recommendations follow your constraints, never a vendor quota.
Cost, lead time, availability: we agree on the numbers up front and report on them.
Documentation, pairing and workshops are part of the job. Success is when you no longer need us for it.
Tell us about it. An engineer, not a salesperson, will answer within two working days.
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