About DataRobot
DataRobot is an enterprise AI platform now marketed as an Agent Workforce Platform. It covers the three generations of enterprise AI in one environment: predictive models built with automated machine learning, generative applications built on language models and vector databases, and agents that carry out tasks across systems. Every asset moves through the same build, operate and govern lifecycle, with monitoring and quality checks in production.
It is built for AI leaders, data science teams and enterprise IT in industries such as financial services, life sciences, manufacturing, oil and gas, and government. Practitioners can work in a low code visual interface or write code, start from customizable templates, and compare language models and retrieval setups before deployment. The platform layers AI Governance and AI Observability over everything it runs, and deployment options span cloud, on premises, hybrid and edge. Two named components stand out: syftr, which searches for the best combination of accuracy, latency and cost for a given workflow, and Covalent, an open source compute orchestration framework.
DataRobot publishes no pricing. Plans are sold through sales, and the site directs visitors to request a demo. A 30 day free trial gives full platform access with no contract or commitment, including the agent builder, AutoML and the generative AI workbench, community support and monitoring dashboards.
DataRobot's messaging has shifted from automated machine learning, where it built its reputation, toward agentic AI, but the predictive tooling remains part of the platform rather than a separate product.