Saagie Data Factory for your data & AI projects
Saagie Data Factory for your data & AI projects
Let Saagie free you from technical constraints and bring your data & AI project to life. No matter what your maturity level is:
Saagie, a Data Factory to get
your first data & AI project
data & IA
As a SME or a small data team within a large enterprise, it can sometimes be challenging to launch a data initiative with agility. With Saagie, you benefit from total flexibility to explore, create, and deploy your first project with complete mastery thanks to our ready-to-use open-source technology catalog, 100% managed.
With its enhanced user experience, Saagie allows you to set up your data initiative with simplicity, providing a cloud infrastructure available and scalable with just one click and access to a set of pre-configured connectors for data access from day one.
Your solution for team collaboration
Once the first initiatives are launched, your projects and teams can finally start to grow. To increase efficiency and speed the time-to-insight for your projects, you need to think about how different data profiles can work together and how you can use previous work to your advantage.
Thanks to our collaborative project-based approach, you can bring together all the different actors involved in your data and AI projects, keeping everyone in the loop and making it easier to keep track of work done.
As you start new projects, Saagie offers several advanced features integrated into your CI/CD pipeline, such as pipeline orchestration, real-time monitoring, and versioning. These features streamline every step of your development process for each project you create.
Towards a Data & AI Driven entreprise with Saagie
When starting multiple projects at once with an industrial and scalable infrastructure, Saagie lets data consumers get the data they need to facilitate their decision-making.
Automate processes, leverage existing cases, and enhance data engineering by 5 times for faster time-to-insight and better data-driven decision-making.