DataRobot provides an end-to-end agent workforce platform that enables enterprises to build, operate, and govern AI agents in production environments. The platform unifies complex enterprise infrastructures by supporting deployment across on-premises, hybrid, and cross-cloud architectures. Organizations can replace multiple AI tools with a single integrated system that accelerates agent development from pilot to production.

The platform offers foundational agents that integrate directly into organizational processes, business agents co-developed for SAP ecosystems, and purpose-built agents delivered through service-led implementations. Teams that build agents can use customizable blueprints and built-in integrations within their preferred development environment, selecting optimal components from LLMs to embeddings for accuracy, latency, and cost optimization. Operations teams can orchestrate compute dynamically, monitor agent quality in real time, and authenticate agents and users to control data and API access. Governance teams maintain global visibility across the agent lifecycle with tracking for all assets and activities, enforceable controls for compliance, and automated testing frameworks to detect issues before they impact business operations.

DataRobot supports multiple AI modalities including agentic AI, generative AI, and predictive AI, with capabilities spanning AI governance and AI observability. The platform integrates with major enterprise systems and cloud providers, delivering agents for finance, supply chain, customer service, sales, marketing, and credit risk functions. Major clients have reported substantial ROI including sixty million dollars in supply chain optimization, two hundred million dollars from energy use cases, and seventy million dollars across capital markets and wealth management applications.