Making data and AI work for your business

At OrbitaLab, we help companies build modern data infrastructure and analytics systems they can trust

Data Eyes is your guide to the world of data

OrbitaLab is a Data & AI architecture and development studio. We design and build production-ready data infrastructure and AI systems for companies that want engineering rigor, not slideware.

Our work starts with systems thinking: we research and test new approaches in our own lab and ship only what we can run and support in production. A compact senior team takes full ownership — from architecture to delivery — so nothing is thrown over the wall.

We favor simple, maintainable designs that evolve cleanly over time, and we say no when a request won’t scale or pay off. We practice radical clarity — plain language and explicit trade-offs, even when it’s inconvenient. Our mission is to cut through noise and deliver data and AI systems that stand up to reality with long-term accountability.

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Data maturity stage 1

Data maturity stage 2

Data maturity stage 3

Data maturity stage 1

Data Foundations

You're not yet making data-driven decisions — or doing it manually, report by report. We help you set up the core systems: where data is stored, how it's processed, and how to get answers from it when you need them.

Audit current data and processes — Map what data exists, where it lives, and how it flows.
Fix and structure the data model — Organize raw data into a clear schema that supports analysis and future scaling.
Build ETL (Extract, Transform, Load) pipelines — Set up automated flows that pull data from your systems, clean it, and store it in one place for easy access and analysis.

Set up a data warehouse — Centralize data in a modern query-ready system.
Automate reporting and build dashboards — Replace manual reports with live, actionable metrics.

Data maturity stage 2

Advanced Data Stack

You’re already using data, but your systems struggle as the company grows. Data pipelines break, models are hard to deploy, and analytics depend too much on manual fixes. We help you stabilize the infrastructure, improve data quality, and automate key processes — so your systems can support advanced analytics and ML in production.

Audit existing infrastructure and data model — Review your current setup to spot gaps and fix issues that slow down performance and increase costs.
Implement data quality frameworks — Establish systems to monitor and minimize data errors across your pipelines.
Build and train teams — Support your people with best practices and training to keep pace with the latest industry standards.

Design and build ML/Data Science infrastructure — Automate model training, experiments, evaluation, and deployment.
Apply DevOps/DataOps practices — Set up automated testing, deployment, and monitoring.
Consult on GenAI and ML adoption — Help you understand where and how to apply GenAI/ML effectively.

Data maturity stage 3

Targeted AI/ML Solutions

Your data systems are well-established — but staying ahead means adapting to new challenges. When your team faces AI/ML projects that demand specialized expertise or complex development, we step in to provide the skills and hands-on experience you need.

Tune up your AI/ML infrastructure — Improve performance, cut hidden costs, and upgrade your systems to get more value from what you’ve already built.
Refine data quality and automation — Fix data errors and reduce manual work by improving data validation and automating repetitive tasks.

Audit and advise on GenAI and ML integration — Review your current processes to identify where GenAI and ML can deliver real value.
Develop tailored AI systems — Design and build complex, production-grade AI solutions when in-house expertise and resources aren’t enough to tackle advanced projects.

Our Projects

We work on complex data initiatives—from enterprise-scale data lakes to GenAI-powered solutions. Our clients rely on us to architect systems that are scalable and built for business use.

Sanofi Commercial Enterprise Data Lake

Sanofi CHC Separation

Cooming soon

Document Semantic Storage Supported by GenAI and Snowflake

Sanofi Financial Data Forecasting Intelligence System

Loopia Migrations

Databricks → Snowflake Migration

Core Team

We are a team of experienced tech-driven professionals with a shared mindset. From architecture to execution, we combine deep technical skill with clear communication and delivery focus.