Connected vehicles


Autonomous vehicles are the future, but connected vehicles are already in production. Specially equipped vehicles such as buses, cars, drones and ships make use of sensors and particular on-board instruments to efficiently map their surroundings, perform measurements and collect all different types of data (from temperature, videos and photos up to air quality, climate, lidar and hyperspectral images). These data have to be analysed performing tasks such as correlations, transformations and aggregations in order to gain valuable insights. For this, particular workflow automations are needed to express the logic that will turn data into insights. However, the computational environment of connected vehicles is composed by limited compute power capabilities, heterogeneous hardware and intermittent connectivity that complexifies the lifecycle management of workflows. Ryax addresses those challenges through its data engineering platform by enabling a seamless development, deployment and monitoring of workflows upon the hybrid edge-cloud computational environment of connected vehicles.

Read about other RYAX use cases

  • Industry

    Ryax offers a data engineering platform that facilitates the creation and deployment of Industry 4.0 data analytics workflows, from industrial automation to predictive maintenance.

  • Pharmaceutics

    Thanks to its abilities to orchestrate complex data processing over distributed infrastructures, Ryax can seamlessly address lab automation projects, AI-powered nano-molecules research or drug discovery endeavours using machine learning.

  • Smart Agriculture

    Ryax is a software that can address algricultural issues with a platform allowing data scientists to create, deploy and manage data analytics workflows simply, by abstracting the complex data engineering plumbing.

Ryax tackles new use-cases every day.

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