tools
DataRobot AI Platform (AutoML)
Automates predictive model building, evaluation, and deployment for teams using structured and time-series data.
DataRobot AI Platform (AutoML) helps data scientists, analysts, and engineers prepare data, train multiple modeling approaches, compare results, interpret predictions, and make predictions through its interface or API. It supports predictive, time-series, and composable machine-learning workflows, including custom Python and R code.
The platform is available as SaaS, in a virtual private cloud, on-premises, or in self-managed deployments. DataRobot’s public pages do not list AutoML pricing tiers; enterprise pricing and deployment arrangements require contacting DataRobot.
Features
- Builds predictive models with automated modeling workflows
- Supports time-series and forecasting projects
- Compares models with leaderboard metrics and evaluation plots
- Explains model drivers and prediction behavior
- Makes predictions through the UI or API
- Builds custom blueprints with Python or R code
- Supports model deployment and lifecycle management
Use cases
- Forecast demand, revenue, or other time-dependent outcomes
- Score customers, transactions, or operational events
- Compare predictive models before production deployment
- Explain which features drive individual predictions
- Build custom machine-learning workflows with Python or R