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Research & Development

Our customers' challenges are our source of inspiration. Advanced AI technologies are our driving force. By combining these two elements, we are constantly inventing new AI components.

Our Research activities

Our customers' challenges are our source of inspiration. Advanced AI technologies are our driving force. By combining these two elements, we are constantly inventing new AI components.

Our team dedicates 25% of its time to researching cutting-edge technologies and use cases devised with our clients and Sia Partners' consulting teams. These projects take the form of PoCs that validate the use of the imagined technology. The PoCs that pass our innovation filters and that respond precisely to our customers' challenges are then reworked to become ready-to-use AI solutions.

70 PoCs 

10 AI solutions developed from these PoCs

120 data sets

4 Research labs in Europe and North America

 

 

Heka PAAS

From development to industrialization

Processes and a platform guarantee the quality of our developments.

Our development teams implement the best methods and tools to build robust and scalable AI solutions for our customers. To do so, they rely on our Heka technical platform, which guarantees the robustness and scalability of our solutions.

Made up of all the technical building blocks required to carry out Data Science projects, the Heka platform enables us to structure the work methods of our data scientists, data engineers, and web developers. It is the guarantee of solid code and scalable solutions to maintain our solutions over time:

  • Datascience and CI/CD project management tools structuring the way we develop our AI solutions (containerized projects with CI/CD pipelines designed to be production-ready), in order to guarantee the best quality of development ;
  • Generic components (authentication, task launcher, and scheduler, etc.) to speed up development by pooling these technical building blocks between our different products ;
  • Multi-cloud hosting services: Kubernetes clusters with CPU/GPU resources, and SQL/NoSQL databases.