What Is DataRobot?
DataRobot is an enterprise AI platform founded in 2012. The company is based in Boston. It built its reputation on automated machine learning, which speeds up how teams build predictive models. It has since grown into a platform for generative AI and AI agents.
Today the focus is the DataRobot Agent Workforce Platform. It gives teams one environment to build, operate and govern AI. DataRobot unveiled it in 2025, co-engineered with NVIDIA. Inside the product, predictive, generative and agentic AI share one workflow.
DataRobot pitches the platform to AI leaders and practitioners alike. Leaders secure their AI assets, and practitioners deliver predictive and generative solutions. The company also released syftr, an open-source framework for finding performant agentic workflows.
Core DataRobot Features
Governance at Three Layers
Approval workflows and versioning gate every agent before it ships. In production, real-time moderation catches bias, hallucinations, prompt injection and PII leakage. IT controls add agent identities, entitlements and lineage across tools and applications. Infrastructure governance adds cost controls across deployment environments.
Registry, Deployment and Monitoring
The Registry packages models and agents for deployment and generates compliance documentation. One click creates an API endpoint with monitoring and governance controls already configured. Agentic deployments follow the same registered, governed path into production. Observability reaches third-party models across clouds, on-premises sites and the edge.
One Platform for Three Kinds of AI
Generative AI features build on DataRobot’s predictive AI experience. Agentic features build on both. Teams can move from a forecasting model to an agent without changing platforms. The same registry, deployment and monitoring steps then apply to all three.
Flexible Environments
The platform runs across cloud, on-premises and air-gapped environments. That suits organizations with strict data rules. DataRobot extended governance beyond the cloud to those sites in July 2025.
Who Uses DataRobot
DataRobot targets enterprises rather than solo builders. Data science teams use it to automate model building and speed up delivery. Platform and security teams use it to supervise agents, set policies and audit activity. Business teams can work from the same governed models.
DataRobot also sits beside coding tools. Coding agents such as Cursor, Claude Code and Gemini CLI can install DataRobot skills. That brings platform workflows into the IDE.
The platform fits organizations that treat AI governance as a requirement. Its approval and lineage tools support audits and internal reviews. Small teams with a single model may find a full enterprise platform more than they need.
Pricing, Plans and Integrations
DataRobot sells through custom enterprise contracts. A one-time self-service free trial lets you test the platform in both its NextGen and Classic interfaces. Trial predictions are limited to batch mode, and generative AI features include vector databases and playgrounds. Contact sales for a quote after the trial.
DataRobot partners with NVIDIA and, since March 2026, with Nebius for AI infrastructure. The Nebius pairing combines the platform with a purpose-built AI cloud and NVIDIA GPUs. DataRobot suits teams that must prove control over their AI. Start the trial with a real use case, then speak with sales once results justify scale.
