Original press release published here.

BOSTON, Mass. – July 12, 2022 – DataRobot, an innovator in AI, today announced it has been named a Leader in Forrester Wave: AI/ML Platforms, Q3 2022.

This report evaluated 15 AI/ML Platform vendors based on 25 criteria. Of the vendors evaluated, DataRobot was one of three leaders, and received the highest score possible in the market approach, performance, and partner ecosystem criteria within the strategy category.

“DataRobot rises swiftly to meet enterprise teams where they want to be,” according to the Forrester Wave report. The report goes on to state that DataRobot “has strengths in its tooling and functionality in data preparation, model evaluation and explanation, ModelOps, and application building.” It also states, “reference customers appreciate the low barrier to entry of adopting the platform and its ease of use, along with the model documentation and explainability. DataRobot is a solid option for enterprises that want a platform that has tooling for extended AI teams while simultaneously providing collaboration and scale to manage existing use cases and crank out new ones.”

"DataRobot is honored to be named a leader in AI/ML Platforms. We believe our placement demonstrates the culmination of DataRobot’s efforts to build the category-defining AI Cloud platform," said Nenshad Bardoliwalla, Chief Product Officer, DataRobot. "We continue to expand our AI Cloud platform to meet the comprehensive needs of today's AI-driven organizations with the help of customer feedback, partner support, and new product innovations, guided by our long-standing vision to democratize AI. Recognition from today’s leading analyst firms is a testament to our continuing commitment to breakthrough innovation and ability to execute."

In a rapidly growing market, DataRobot continues to expand its leading AI functionalities to unify teams and transform data science initiatives, making AI a competitive advantage. According to the report, “DataRobot’s customers appreciate the company’s rise from a niche automated machine learning (AutoML) player to a full-lifecycle AI platform in short order through a combination of strategic acquisitions and organic hard work. Equally impressive is its go-to-market approach that has all the bases covered including helping companies just starting with AI to those wishing to accelerate already successful AI initiatives.”

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