Your end-to-end tool to build, test and deploy ML models
Build your models in configured environments
Build templates for your teams
Manage ML models, create automations
Build, schedule, and monitor automated flows that connect data, code, and models — seamlessly moving projects from experimentation to production. Full CI/CD capability.
Work in reproducible, fully isolated environments tailored to your project. Use notebooks, scripts, terminals, and custom tools without setup overhead. Scalability using Docker or Kubernetes.
Track experiments, evaluate results, and deploy models confidently — transitioning smoothly from research to production-ready solutions.
Leverage external compute resources, including Apache Spark clusters, to run distributed workloads and scale beyond a single machine.
Transform manual steps into reliable, scheduled pipelines. Handle retries, monitor progress, and maintain full visibility over every execution.
From data processing and experimentation to orchestration and serving, manage the entire ML workflow in a single platform.
Build your models in configured environments
Build templates for your teams
Manage ML models, create automations
Want to learn more about Sorigo Data Platform?
Download the PDF today to read a detailed overview
