Our expertise has becomethe new standard.30 high-growth companies have adopted it in just 8 years.The good news: you can too.
Our expertise
Five practices,
one vision.
Data Platform
A single source of truth for all your teams.
We design Lakehouse and Data Mesh architectures that turn your data into a strategic asset. A unified platform, reliable pipelines, and autonomous business teams — no silos, no friction.
AI & MLOps
We know what holds in production, and what doesn't.
Our teams have industrialized over 40 models in production. RAG, fine-tuning, autonomous agents — AI that works within your existing systems, not in an isolated notebook.
Cloud Architecture
Infrastructure that costs what it should.
Cloud migration, IaC and FinOps — cost optimization as a daily discipline, not an annual audit. Every resource justified, every euro measured.
DataOps & Platform Engineering
Data teams shouldn't have to fight their pipeline.
Orchestration, data CI/CD, observability and SRE: we build platforms data engineers are proud to use — that business teams never see go down.
AI Strategy
AI strategy without execution is just a slide deck.
We guide your leaders from roadmap to production — with the same teams. Data capability audit, AI use case prioritization, governance and change management.
Why fenia
What sets
us apart.
Field architects, not PowerPoint consultants.
All our consultants have put code in production in demanding contexts. We understand real constraints — performance, security, technical debt — because we've lived them.
AWS, GCP, Databricks, Confluent certified partners.
Our certifications aren't decorative. They guarantee we apply the reference architectures recommended by vendors, with real-time updates.
Time-to-value in weeks, not years.
Our short-sprint methodology (4 to 8 weeks) delivers measurable value from the first iteration. You see results before signing the next phase.
Independent. We choose what's right for you.
We're not resellers. We recommend the right technology for your context — whether AWS, GCP, Databricks or open-source — with no conflict of interest.
Client references
Results,
not promises.
Every mission is documented with real metrics, measured before and after our involvement.
Major French banking group — Top 5
Present in 30 countries, 15,000 data & IT staff, portfolio of 50+ analytical applications.
Challenge
Business data silos caused J+3 reporting delays, paralyzing near-real-time credit risk decisions and increasing Basel IV regulatory risk.
Our involvement
Complete redesign of the analytical platform on Databricks with Lakehouse architecture, migration of 12 legacy pipelines and deployment of a Data Mesh per business domain.
Measured results
French defense manufacturer — CAC 40
Critical embedded systems manufacturer, high security constraints, 2,000+ field equipment.
Challenge
No predictive maintenance model for critical equipment, generating costly downtime estimated at €8M/year and impacting contractual commitments.
Our involvement
Design and deployment of a sovereign MLOps platform (on-premise + private cloud) with failure prediction models by equipment type and a preventive maintenance dashboard.
Measured results
B2B software vendor — Series B scale-up
150 engineers, ×3 growth in 18 months, heterogeneous legacy stack, uncontrolled cloud spend.
Challenge
Undersized legacy infrastructure, cloud costs up +200% in 18 months without correlation to growth, time-to-market degraded to 3 weeks per release.
Our involvement
Full infrastructure audit, Terraform IaC migration, FinOps implementation, containerization and deployment of a unified data CI/CD pipeline.
Measured results
Architecture Lab
Expertise,
in the open.
Our architects publish patterns that work in production — with the technical choices, trade-offs, and mistakes to avoid.
RAG in production: Vector Search + Gemini on GCP
How to design a robust RAG pipeline for a financial actor: semantic chunking, Cloud Spanner indexing, reranking and serving via Cloud Run — from secured prototype to supervised production endpoint.
Key insight
“The main trap in prod RAG isn't the model, it's chunking quality and index freshness.”
Jan 2025
Data Mesh with Databricks Unity Catalog: from theory to field patterns
Lessons from implementing a Data Mesh for a banking group: domain-by-domain data product breakdown, distributed ownership, quality SLAs, and centralized governance via Unity Catalog.
Key insight
“Data Mesh rarely fails on technology. It fails on the organizational model and team incentives.”
Feb 2025
MLOps at scale: from notebook to endpoint with Vertex AI & MLflow
End-to-end MLOps pipeline tested in production at a defense manufacturer: MLflow versioning, model CI/CD via Cloud Build, Vertex AI deployment, data drift monitoring and automatic rollback.
Key insight
“A model without drift monitoring isn't in production — it's on borrowed time. We explain how to make it autonomous.”
Mar 2025
Technology stack
The tools
that make the difference.
Certified on major cloud and data platforms, we master the complete ecosystem — from ingestion to model deployment in production.
What they say
Trust
is built.
fenia transformed our relationship with data in less than 3 months. We had a unified data platform, 4 autonomous business teams, and real-time reporting where we used to wait J+3. This isn't a service provider — it's a partner that truly understands our constraints.
fenia's technical rigor and understanding of defense constraints made all the difference. They deployed our MLOps platform in a sovereign environment in 8 weeks — a timeline no other firm had proposed. The models are still running in production 18 months later.
Thanks to fenia, we cut our cloud bill by 2.5x in 6 months while tripling our deployment speed. But what impressed me most was that their architects trained our teams in parallel — we're now fully autonomous. That's the real added value.
You have a project
Let's talk data
& AI.
Describe your need. Our architects reply within 48h with an initial feasibility analysis — no commitment.
- Reply within 48h
- First audit free
- ROI estimate included
You're a tech talent
Join
the team.
Complex missions, modern stack, demanding clients. Continuous training, paid certifications, competitive compensation.
Contact
Let's talk about
your project.
Describe your context in a few lines. Our architects get back to you within 48h with an analysis and first technical direction — no commitment.
Our teams are in Paris and Neuilly-sur-Seine. We work on-site or remotely according to your preference.
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