DataRobot, the agentic workforce platform, today announced that Gartner® has recognized the company as a Leader in the Magic Quadrant™ for Data Science and Machine Learning (DSML) Platforms for the third consecutive year. The evaluation was based on specific criteria analyzing the company's overall Completeness of Vision and Ability to Execute. Unlike cloud hyperscalers that offer AI as one component of a broader infrastructure stack, the DataRobot Agent Workforce Platform is purpose-built for enterprise AI: from predictive models and generative AI to the most sophisticated agentic workflows.
DataRobot named a Leader in Gartner Magic Quadrant for DSML Platforms for third consecutive year.
Agent Workforce Platform co-engineered with NVIDIA for production-grade AI agents.
Platform operates across cloud, hybrid, multi-cloud, on-premises, and air-gapped environments.
94% of organizations hit operational failures after deploying agentic AI, per DataRobot's research.
Average time from idea to production is 7.3 months.
DataRobot maintains a 4.6 out of 5 star rating from 789 Gartner Peer Insights reviews.
Unlike cloud hyperscalers that offer AI as one component of a broader infrastructure stack, the DataRobot Agent Workforce Platform is purpose-built for enterprise AI: from predictive models and generative AI to the most sophisticated agentic workflows. As organizations evaluate agentic AI platforms that can truly scale for the enterprise, DataRobot addresses a key challenge that enterprises struggle with and offers a powerful alternative to hyperscaler silos: the Agent Workforce Platform operates seamlessly across cloud, hybrid, multi-cloud, on-premises, and air-gapped environments with no rip-and-replace required.
Over the past year, DataRobot has continued to accelerate agentic AI innovation across the enterprise. Central to this strategy is the launch of the Agent Workforce Platform, co-engineered with NVIDIA, to enable organizations to build, operate, and govern a full agent workforce across cloud, on-premises, and hybrid environments. On the market side, DataRobot launched purpose-built agentic flows for transforming existing business processes and expanded into transformational agentic operations, including pioneering agentic AI across mission-critical energy operations to unlock hundreds of millions in operational gains. The company also expanded key strategic partnerships with enterprises like Dell, Nebius, and Aon.
The company's own research underscored the urgency: its 2026 Unmet AI Needs Survey found that 94% of organizations hit operational failures after deploying agentic AI, with the average time from idea to production still sitting at 7.3 months — a gap DataRobot exists to close. Debanjan Saha, Chief Executive Officer at DataRobot, stated: "We believe this recognition reflects what our customers already know: true enterprise AI transformation doesn't happen inside a single hyperscaler's walls. Agents need to work across every data source, every business application, and every environment your organization relies on, and no hyperscaler can give you that. Our platform is vendor-agnostic by design, built to orchestrate agents across your entire stack — cloud, on-premises, or air-gapped — with the governance and lifecycle management enterprises demand. We're going way beyond helping organizations build agents. We're helping them reinvent how work gets done."
Hundreds of organizations worldwide rely on DataRobot to power AI agents that stay aligned with real-world conditions. From optimizing supply chains to automating financial processes, DataRobot powers agents to continuously retrain and improve as business needs shift without manual rework. Out of 789 reviews as of June 22, 2026 on Gartner Peer Insights™, DataRobot maintains a 4.6 out of 5 star rating from users. Customers have praised the platform's enterprise-grade governance, with one Group Product Manager noting: "Strong enterprise-grade governance and monitoring, which gives confidence when deploying agentic AI into production." A Senior Systems Engineer at a Banking firm added: "AI agents simplify deployment and automate routine tasks with built-in monitoring." A VP of Data and Analytics at a Software company highlighted the transformative impact: "DataRobot has changed our entire business…something that used to take months of work from one data scientist coding an ML model, now takes less than 24 hours."
About DataRobot
DataRobot empowers AI teams to deliver the agentic workforce of the future. Our platform enables organizations to create and scale AI agents that integrate directly with business processes—driving efficiency, transforming operations, and delivering real results. With built-in governance and safeguards, we help enterprises deploy AI securely and confidently.
