DataRobot’s Enterprise AI Suite Eases GenAI Development, Deployment, and Testing

DataRobot, the provider of AI that makes business sense, is debuting a new enterprise AI suite capable of building composable GenAI applications and agents designed to maximize business impact. Spurred by the findings of DataRobot’s recent survey—which found that only 34% of AI professionals feel adequately equipped to meet business goals—the company’s latest release centralizes best practices and out-of-the-box strategies for creating and deploying AI.

“It’s time for a new approach to AI focused on business outcomes,” said Debanjan Saha, chief executive officer of DataRobot. “The DataRobot enterprise AI suite answers the need for advanced AI solutions for today’s businesses. From personalized content generation to more complex business workflows, DataRobot AI applications and agents are built with business logic, security guardrails, and a seamless user experience to deliver value in 30 days.”

DataRobot’s enterprise AI suite focuses on three key needs: delivering advanced GenAI solutions, perfecting the user experience for GenAI apps, and streamlining application publishing.

To help enterprises create and deploy GenAI, DataRobot offers customizable, pre-built application templates designed for a range of use cases—including agentic workflows, data analysis tools, and predictive content creation systems. Each template can be configured to match an organization's security, business, and implementation logic.

Additionally, DataRobot is debuting a collaborative AI application library that allows cross-domain teams to work together from within a single, common repository.

“Getting from idea to model implementation has always been a pain point for data scientists,” said Amit Jain, chief technology officer at Personify Health. “DataRobot AI applications have dramatically shifted the curve for us by reducing the time from months to hours. That’s a huge win and a fundamental change in how we productionalize models.”

Through DataRobot’s GenAI application workshop, AI teams can accelerate prototyping and production deployment with automated monitoring and scaling, as well as tune and refine apps in real time. GenAI application interfaces can be built with out-of-the-box examples—which include those for Streamlit, Flask, and Slack—or built with preferred frameworks like Dash, Shiny, Flask, and Microsoft Teams.

“The ability to rapidly prototype and deploy generative AI applications is becoming a critical differentiator for businesses,” said Ritu Jyoti, general manager/group VP, AI and data market research and advisory, IDC. “DataRobot provides developers with the framework and pre-built components needed to bring innovative generative AI solutions to market quickly. The open architecture ensures that AI teams aren’t locked in or stagnating.”

To further test GenAI applications, DataRobot’s pre-production red team activities help teams ensure that their creations meet both business needs and requirements.

Outside of creation and testing, DataRobot serves to streamline application publishing with:

• Modern developer building blocks via a new declarative API framework that simplify AI pipeline replication
• Instant application updates that ease maintenance without incurring user downtime
• One-click integration to the SAP ecosystem through DataRobot’s SAP Datasphere connector and SAP AI Core one-click deployment

“Our partnership with DataRobot is a critical component in delivering AI value to customers from their reliable and trusted SAP data. The new DataRobot applications and integrations with SAP will help simplify and speed up delivery of advanced use cases that provide mission-critical value to all our customers,” said JG Chirapurath, chief marketing officer, SAP BTP.

To learn more about DataRobot’s enterprise AI suite, please visit https://www.datarobot.com/.