You need a proper data infrastructure.In order to be AI-Ready.
We build (boring) data stacks
for businesses who want to win with AI
Consulting trusted by top companies across Switzerland🇨🇭 - Germany 🇩🇪 - France 🇫🇷
logologologo
Building a data stack is hard
🔦Which tool do we need?
🤷‍♀️How much will it cost?
👩‍🚀Buy or build? SaaS or Open Source?
We have experienced a lot these challenges. Leverage our experience to avoid costly mistakes and build a platform that grows with you.
Let us help you set up an AI-ready data infrastructure.(Without burning your runway)
🎉Data infra AuditWe help you to select the best tools for your context: budget, volume of data, team.
🎉🎉ImplementationWe build together your new data platform.
🎉🎉🎉Onboard AIIngest data and onboard your first AI use-cases.
Engagement model
Our 3 steps Process:
  • Audit and assess your current data maturity.
  • Design of a data infra adapted to your budget and needs.
  • We build your data infra together with your team.
What you get:
  • 🗺️ Strategic Data Roadmap
  • 🚀 Up and Running Data Stack
  • 🤖 AI Proof of Concept (PoC)
✅ We build it with you.

✅ You own everything.

✅ Your team wins.
Hey it's Julien 👋
I'm Julien, a Data Engineer Consultant who specializes in building modern data platforms.If you want to stay competitive, you must incorporate AI-driven innovation into your product faster than your competitors.That's my niche: I ensure that you have the robust infrastructure needed to welcome AI innovation.I've been doing this for 10 years and have helped some big names across Switzerland, France, and Germany:

- 🚙 Automotive: BMW

- 💶 Finance: Pictet Asset Management

- 🚌 Logistics: Swiss Post

- ⏱ Watch industry: Swatch Group

- 💊 Pharma: Novartis

- ✈️ Aviation: Geneva Airport

I can also speak four languages: 🇫🇷 French - 🇺🇸 English - 🇩🇪 German - 🇪🇸 Spanish
placeholder
FAQ's
We advocate for simple systems, easy to maintain that can scale with you. Many data consulting companies push for the 'Ferrari' stack: Fivetran, Snowflake/BigQuery, Looker. This stack is easy to set up but can become costly as your platform scales. We're here to help you prioritize what to build or buy, according to your needs and resources. If your data volume is not large, you likely don't need the scalability offered by Snowflake or Databricks. Similarly, you might not need an orchestrator for just one or two data sources.
Our typical engagement is for greenfield projects. We focus on providing end-to-end data infrastructure and analytics consulting. This means we can help your team plan, design, and build out your analytics consulting infrastructure.