THE RYAX PLATFORM

Ryax is a data engineering platform enabling data teams to deploy, run, and scale their models on production infrastructures.

  • code drop-octopus

    Drop data science models to production

    Copy / paste your Python code or load your existing containers, and Ryax will do the rest. Ryax features an integrated code-drop interface powerful enough to package and deploy your code in production within minutes.

code drop full once 4 (500px)
build-workflow-once-4-(500px)
  • workflow ML-octopus

    Build data pipelines and processing workflows

    Ryax's drag & drop interface makes it easy to construct and deploy advanced data science workflows. Need machine learning algorithms to generate daily value while constantly re-training? It's as simple as assembling blocks together.

  • play pause-octopus

    Master and control data science in production

    Ryax offers full mastering of your workflows' deployments & executions. Instantly load, pause, stop, modify, version a workflow at any time on any given cluster. Workflows' states are always observable and actionnable.

master-once
observe-once-2
  • monitor-octopus

    Monitor all your infrastructure clusters

    Ryax natively provides global monitoring features to efficiently observe resources status & consumption at any infrastructure level. Always keep an eye on CPU usage, memory, disk, I/O...etc

  • log-octopus

    Benefit from full observability of workflows and executions

    Ryax was built with a full-observability mindset, comprising detailed histories for workflow deployments, execution logs, and more. Native timeline views give you opportunities to tweak and optimize treatment chains even further.

logs-once

Ryax fosters team collaboration and developments reusability

  • modular reuse-octopus

    Modularize and reuse developments

    Ryax features a growing set of pre-built data processors out of the box. But data teams can create their own modules from scratch, then version and deploy them. Ever need to change a step in your workflow? Just swap the right box in.

evolve scroll once 4 (500px)
timeline-once
  • optimise copy

    Streamline and optimize your treatment chains

    Ryax native observability features provide a canvas of optimisation opportunities for whole analytics workflows as well as data processing blocks & models. Make use of overviews and timelines to continuously smooth, tweak and improve your data science.

  • collaborate

    Collaborate as a team and share any model or workflows

    Ryax includes a full set of user management and collaboration features. Admins can supervise the development of data science models & workflows, and then roll out relevant components to dedicated teams and users.

users-once

Ryax tackles new use-cases every day.

Tell us about your projects.