Digazu, an end-to-end data science solution

Data Scientists spend 60% of their time on data pipelines instead of AI

Learn more about this on Gartner

Companies deploy only 20% of their development

Learn more about this on Gartner

With Digazu, we put at your disposal the expertise that we have acquired  by working for many years on large and advanced AI/ML projects. It is the sum of our knowledge in R&D, in engineering and on-the-ground.

Project lifecycle
without Digazu

Project lifecycle
with Digazu

Digazu is a robust data platform automating best practices, so that you can quickly focus on what truly brings value: industrialized data science. All data engineering questions are solved instantly.

Data science


We simplify this vital step thanks to our connectors covering all the major technologies. Once connected, each stream is collected in real time.

Automatic collection
Realtime streams


We ensure maximum efficiency by storing the necessary data in our data lake, whatever their nature or format. Cloud or on-site solutions are available.

Cloud / On-site data lake
Historical data
SQL-based exploration


Create your data flows and transformations directly in Digazu. No coding required thanks to our node based UI. In the background, we ensure real-time data distribution with no latency thanks to an optimised data hub system.

Hot and cold data combination
SQL streaming transformations
Real-time scalable distribution

Data Science modelling

You access your data with one line of code in Digazu’s Jupyter notebook. Then you train and run your pipeline whenever you need it.



The last but essential step is now just a matter of seconds. Thanks to our state-of-the-art Kubeflow integration, you deploy a production-ready data pipeline and data science model in 1 click.

1 click deployment
Cloud native
Custom hosting

We use the tech you already like

Digazu is based on frameworks, tools and technologies already used at scale by disruptive companies such as Netflix, Amazon, LinkedIn... The strength of Digazu lies in the way we integrate each of them by building the missing blocks, optimizing and automating data engineering and ensuring end-to-end professional support.

AI Use cases

Fraud DetectionPredictive analysisRisk mitigationCustomer segmentationReal-time analytics

IT Use cases

Seamless hot & cold data integrationManaged data lakeMix legacy and new tech infrastructureData securityOn-demand scalability


Is it like Google Cloud AI platform?

Digazu is one level of abstraction above the Google Cloud AI platform. While Google-like platforms provide a suite of tools that can be used to implement AI projects, specific skills and high efforts are needed to integrate and orchestrate them in a proper way. Digazu is an end-to-end platform ready to be used from day 1, making sure you can go from data exploration to running in production in a smooth and optimized way.

Why Digazu and not build the solution myself?

We helped many companies to become data-centric. We also saw many companies try to implement a solution by themselves, and most of them failed. The main reasons are that they don’t have the experience and skills for such a transformation. We are data architects, data engineers and data scientists, and we spent 2 years working on a state-of-the-art platform. Enjoy it, it will be faster than building it by yourselves. And with a much lower TCO!

How long is the setup?

Depending on your project it can take from a few hours to 1 or 2 days. Our support team ensures you have 0 effort to make to get your platform ready.

For what kind of project is it for?

We suggest you read our typical use cases. Digazu is perfect for any project involving data pipelines. It is not specifically dedicated to ML/AI, some of our customers use Digazu mainly to gather data in a governed solution, to build 360° views or to enable real-time reporting.

Am I locked-in with Digazu forever?

Digazu is fully transparent on how you collect and process your data. Plus, you choose where to store it, how to distribute it, etc. You can extract your data or change cloud provider anytime. You remain in total control of your data.

Join the Digazu early bird program  only pay for hosting costs!

Contact usJoin early bird program