OtherVerified
Reviewed and published by trentmaziarz, July 20, 2026. Discovered and drafted by our automated research pipeline.
DataRobot announced the Agent Workforce Platform in July 2025, co-engineered with NVIDIA, offering enterprise organizations a system to build, deploy, monitor, and govern AI agents that autonomously execute multi-step business workflows. The platform is designed to let organizations manage AI agents as digital workers across cloud, on-premises, and hybrid environments.
Details
The Agent Workforce Platform integrates NVIDIA's AI Enterprise software suite—including NIM models, NeMo microservices, and AI Blueprints—with DataRobot's governance and lifecycle management tools. AI developers use pre-built agent templates compatible with frameworks such as CrewAI, LangGraph, and LlamaIndex to build task-specific agents. The platform includes built-in evaluation tools, policy controls, agent-specific guardrails, distributed traceability across agent and tool execution, and one-click deployment across cloud, on-premises, and hybrid environments. Announced use cases include accessing internal documents, financial planning, and real-time supply chain forecasting.
Products affected
DataRobot Agent Workforce Platform
Sources & Evidence
News Article
Cite this record
Trace Foundation. (2026). DataRobot: DataRobot announced the Agent Workforce Platform in July 2025, co-engineered with NVIDIA, offering enterprise organizations a system to build, deploy, monitor, and govern AI agents that autonomously execute multi-step business workflows. The platform is designed to let organizations manage AI agents as digital workers across cloud, on-premises, and hybrid environments (data as of 2026-07-20) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/82db3109-2247-4a1d-9d9e-74e82cf79bb1. Accessed September 4, 2026.
- Stable link
- https://www.aitrace.org/r/practice/82db3109-2247-4a1d-9d9e-74e82cf79bb1
- Data as of
- July 20, 2026
- Last verified
- Not recorded
Other practices by DataRobot
OtherDataRobot offers MLOps tools that allow enterprise organizations to monitor, manage, and govern AI models after they have been deployed to production, regardless of where or how those models were originally built. The system automatically tracks model health, detects data drift, and alerts teams when a model's performance is degrading.Data AnalysisDataRobot offers predictive AI tools that enterprise organizations use to analyze historical data and generate forecasts across domains such as fraud detection, demand planning, credit risk, and equipment failure. These tools allow business analysts and data scientists to build, deploy, and monitor predictive models through a unified platform.ProductivityDataRobot offers an automated machine learning platform that takes structured data uploaded by enterprise users and automatically builds, tests, and ranks hundreds of predictive models to find the best fit—without requiring deep data science expertise for every step. The platform covers the full model lifecycle from data preparation through deployment and monitoring.
Have evidence about DataRobot's AI practices? Submit a report.
Report a Sighting →