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DataRobot was named to the Forbes 2019 Most Promising AI Companies lists.
Since our first investment in 2019, we have been continually impressed by DataRobot's execution power and momentum.
Selected for AI 50 (Top 50 most promising AI companies) in 2019.
DataRobot was named to the Forbes 2020 Cloud 100 list.
DataRobot was named to the Forbes 2020 Most Promising AI Companies lists.
Selected for Forbes Cloud 100 (Top 100 private cloud companies in the world) in 2020.
Selected for AI 50 (Top 50 most promising AI companies) in 2020.
DataRobot was named to the Forbes 2021 Most Promising AI Companies lists.
DataRobot announced a $300 million Series G funding round to fuel platform innovation and enable DataRobot to bring the transformative impact of Augmented Intelligence to customers around the world.
Announced the acquisition of Algorithmia on July 27, 2021.
DataRobot Unifies AI Governance Beyond the Cloud
DataRobot Gives Enterprises Full Control Over Where and How Their AI Runs.
Etisalat UAE and DataRobot announced a new multi-year agreement to build, operate, and govern an agentic AI workforce across Etisalat UAE’s business units. The DataRobot Agent Workforce Platform will be hosted in Etisalat UAE’s own data centre.
DataRobot offers enterprises a solution to fully control where AI runs and how it is operated. With tighter regulation and increasing data residency requirements, simply relying on cloud providers is no longer acceptable. Companies are recognizing the need to manage and own their AI infrastructure, models, and data. This announcement presents a concrete response to those challenges.
DataRobot Inc. announced that enterprises can now fully control where and how their AI runs, addressing growing concerns over sovereign AI. The move follows a government directive that abruptly cut off access to a widely used AI model, leaving organizations in regulated sectors scrambling. The announcement signals a shift toward greater transparency and control over AI infrastructure and data.
Effective July 1, 2026, DataRobot appointed Osamu Takizawa country manager for Japan. Since joining in 2019, he has led adoption of AI solutions in the Japanese market as head of sales and partner business. He said AI agents will be key to transforming enterprise productivity and decision-making and plans to focus on business growth.
DataRobot has established a new Functional Design Engineer (FDE) role to support the development, deployment, and large-scale production operation of agentic AI for the Japanese market. Through its collaboration with Dell Technologies and a strengthened organizational structure, the company aims to address barriers such as unpredictable costs, vendor lock-in, inefficient governance, and lack of data sovereignty. It also aims to accelerate enterprise transformation while avoiding infrastructure pitfalls, including manually integrating more than 50 tools in on-premises and hybrid cloud environments.
DataRobot announced unified AI governance that works across public clouds, on-premises, edge, air-gapped, and sovereign environments. It provides consistent policy enforcement and lineage management regardless of where agents run or connect. In regulated industries, visibility into agent decisions across multiple clouds and internal systems and the ability to detect bias are essential.
DataRobot announced a new AI governance framework that extends beyond the public cloud to on‑premises, edge, and air‑gapped environments. The framework addresses fragmentation across platform, cloud, and application vendors by providing consistent policy enforcement and end‑to‑end lineage. It aims to ensure governance visibility and compliance wherever AI models are deployed.
DataRobot announced that Gartner has named it a Leader in the Magic Quadrant for Data Science and Machine Learning Platforms for the third consecutive year. The assessment was based on criteria evaluating the company's performance and capabilities. DataRobot's agentic workforce platform, co‑engineered with NVIDIA, enables enterprises to build, deploy, and govern AI agents across any infrastructure without hyperscaler lock‑in.
DataRobot is providing its Agentic Workforce Platform and has begun a project with Chevron U.S.A. Inc. to apply agentic AI at the edge to support autonomous patrols and inspections at Chevron facilities. The initiative supports Chevron's Facilities and Operations of the Future program and aims to improve robot mission planning, evaluation, and execution. It is expected to reduce the manual operator work previously needed to verify operating conditions through approval processes.
DataRobot announced a collaboration with Chevron U.S.A. Inc. to apply agentic artificial intelligence at the edge for autonomous inspection operations. The partnership supports Chevron’s Facilities and Operations of the Future initiative and focuses on improving how robotic missions are planned, assessed, and executed within established operational standards using AI agents. The collaboration aims to enhance the efficiency and reliability of inspection processes at Chevron facilities.