Latest news with #DataRobot
Yahoo
5 days ago
- Business
- Yahoo
DataRobot is a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms
DataRobot recognized in both Completeness of Vision and Ability to Execute BOSTON, June 02, 2025--(BUSINESS WIRE)--DataRobot, the agentic workforce platform, today announced that the company has been recognized by Gartner® as a Leader in the Magic Quadrant™ for Data Science and Machine Learning (DSML) Platforms for the second time.1 The evaluation was based on specific criteria that analyzed the company's overall Completeness of Vision and Ability to Execute. DataRobot helps organizations scale AI faster by making agents practical, cost-effective, and easy to adopt. With ready-to-use agent kits and the flexibility to customize, teams can integrate AI directly into existing systems and workflows with no rip-and-replace required. DataRobot's platform provides full control over performance, cost, and governance, so leaders can scale AI across departments without adding complexity – delivering AI up to 83% faster and cutting deployment costs by as much as 80%. To further its commitment to AI innovation, DataRobot recently introduced syftr, a groundbreaking open-source framework aimed at empowering AI practitioners to programmatically discover and deploy optimal agentic workflows tailored for commercial use – prioritizing accuracy, speed, and cost-effectiveness. "We believe that this recognition validates what our customers experience daily: AI agents that don't just automate tasks—they make intelligent decisions and drive measurable business outcomes. Our platform is built to help organizations solve high-impact problems with speed, control, and confidence through enterprise-grade governance, full lifecycle management, and seamless orchestration. By consolidating tools and simplifying deployment, we reduce complexity and cost, so teams can focus on what matters most: delivering results," said Debanjan Saha, Chief Executive Officer at DataRobot. Over 1,000 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 believes that it powers agents to continuously retrain and improve as business needs shift—without manual rework. Out of 707 reviews as of June 2 on Gartner Peer Insights™, DataRobot maintains a 4.6 out of 5 star rating from users, including: "DataRobot has effectively transformed the way my team does their work, with the combination of predictive and generative AI and the ease of use, and speed of deployment of AI applications that generates business value. " – Human Resources, Consumer Goods "The best product to continuously generate value with AI in enterprises." – Data Analyst in IT Services "It is an incredible product that really reduces development times and delivers better results." - General Management, Healthcare and Biotech DataRobot believes that this news is the latest recognition of the company driving agentic AI innovation forward, following the launch of syftr; new AI agent suites for federal, finance, and supply chain organizations; and the acquisition of the open source AI orchestration and computing platform, Covalent. Additionally, DataRobot was named a 2024 Customers' Choice on Gartner® Peer Insights™ Voice of the Customer for Data Science and Machine Learning Platforms. Learn More To view a complimentary copy of the Magic Quadrant report and learn more about DataRobot's recognition, please visit our website. To learn more about DataRobot's capabilities, please register for the webinar "Navigate your AI strategy with DataRobot" on July 10 at 11AM ET. To see why users have given DataRobot a 4.6/5 overall rating across 707 Gartner Peer Insights™ as of June 2, please visit 2024 Customers' Choice on Gartner Peer Insights™ Voice of the Customer.2 About DataRobot DataRobot is agentic AI for the workforce. Our agentic platform enables frontline/business teams to develop, deliver, and govern AI agents and applications that work intelligently and securely with core business processes, infrastructure, and systems — maximizing impact and minimizing risk for organizations across industries. For more information, visit our website and connect with us on LinkedIn. 1. Source: Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, Afraz Jaffri, Maryam Hassanlou, Tong Zhang, Deepak Seth, Yogesh Bhatt, May 28, 2025. 2. Source: Gartner, Voice of the Customer for Data Science and Machine Learning Platforms, Peer Contributors, November 29, 2024. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose. Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. View source version on Contacts press@ Sign in to access your portfolio
Business Wire
5 days ago
- Business
- Business Wire
DataRobot is a Leader in the 2025 Gartner ® Magic Quadrant ™ for Data Science and Machine Learning Platforms
BOSTON--(BUSINESS WIRE)-- DataRobot, the agentic workforce platform, today announced that the company has been recognized by Gartner ® as a Leader in the Magic Quadrant ™ for Data Science and Machine Learning (DSML) Platforms for the second time. 1 The evaluation was based on specific criteria that analyzed the company's overall Completeness of Vision and Ability to Execute. DataRobot helps organizations scale AI faster by making agents practical, cost-effective, and easy to adopt. With ready-to-use agent kits and the flexibility to customize, teams can integrate AI directly into existing systems and workflows with no rip-and-replace required. DataRobot's platform provides full control over performance, cost, and governance, so leaders can scale AI across departments without adding complexity – delivering AI up to 83% faster and cutting deployment costs by as much as 80%. To further its commitment to AI innovation, DataRobot recently introduced syftr, a groundbreaking open-source framework aimed at empowering AI practitioners to programmatically discover and deploy optimal agentic workflows tailored for commercial use – prioritizing accuracy, speed, and cost-effectiveness. 'We believe that this recognition validates what our customers experience daily: AI agents that don't just automate tasks—they make intelligent decisions and drive measurable business outcomes. Our platform is built to help organizations solve high-impact problems with speed, control, and confidence through enterprise-grade governance, full lifecycle management, and seamless orchestration. By consolidating tools and simplifying deployment, we reduce complexity and cost, so teams can focus on what matters most: delivering results,' said Debanjan Saha, Chief Executive Officer at DataRobot. Over 1,000 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 believes that it powers agents to continuously retrain and improve as business needs shift—without manual rework. Out of 707 reviews as of June 2 on Gartner Peer Insights ™, DataRobot maintains a 4.6 out of 5 star rating from users, including: 'DataRobot has effectively transformed the way my team does their work, with the combination of predictive and generative AI and the ease of use, and speed of deployment of AI applications that generates business value. ' – Human Resources, Consumer Goods 'The best product to continuously generate value with AI in enterprises." – Data Analyst in IT Services 'It is an incredible product that really reduces development times and delivers better results.' - General Management, Healthcare and Biotech DataRobot believes that this news is the latest recognition of the company driving agentic AI innovation forward, following the launch of syftr; new AI agent suites for federal, finance, and supply chain organizations; and the acquisition of the open source AI orchestration and computing platform, Covalent. Additionally, DataRobot was named a 2024 Customers' Choice on Gartner ® Peer Insights ™ Voice of the Customer for Data Science and Machine Learning Platforms. Learn More To view a complimentary copy of the Magic Quadrant report and learn more about DataRobot's recognition, please visit our website. To learn more about DataRobot's capabilities, please register for the webinar ' Navigate your AI strategy with DataRobot ' on July 10 at 11AM ET. To see why users have given DataRobot a 4.6/5 overall rating across 707 Gartner Peer Insights ™ as of June 2, please visit 2024 Customers' Choice on Gartner Peer Insights ™ Voice of the Customer. 2 About DataRobot DataRobot is agentic AI for the workforce. Our agentic platform enables frontline/business teams to develop, deliver, and govern AI agents and applications that work intelligently and securely with core business processes, infrastructure, and systems — maximizing impact and minimizing risk for organizations across industries. For more information, visit our website and connect with us on LinkedIn. 1. Source: Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, Afraz Jaffri, Maryam Hassanlou, Tong Zhang, Deepak Seth, Yogesh Bhatt, May 28, 2025. 2. Source: Gartner, Voice of the Customer for Data Science and Machine Learning Platforms, Peer Contributors, November 29, 2024. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose. Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.
Business Wire
08-05-2025
- Business
- Business Wire
DataRobot Launches New Federal AI Application Suite to Unlock Efficiency and Impact
BOSTON--(BUSINESS WIRE)-- DataRobot, the provider of AI that makes business sense, today introduced its federal AI application suite, a comprehensive set of agents and custom applications purpose-built for government agencies to deliver mission-critical AI in high-security environments. The new AI application suite enables government agencies to improve efficiency, accelerate output, and reduce overall cost when compared to legacy systems. The federal AI application suite delivers mission-specific AI use cases to help government agencies overcome critical challenges like talent attrition, financial management hurdles, asset downtime, legacy system integration, diverse data quality issues, emerging efficiency mandates, and more. It includes flexible tools for multimodal, predictive, generative, and agentic AI, and is engineered to meet stringent security, compliance, and operational standards. Whether supporting national security, intelligence, or defense operations, the suite ensures the reliability, resilience, and customization required to power AI-driven decision-making at scale. 'DataRobot has over a decade of experience working with government agencies and knows how to deliver AI that succeeds where it matters most. Federal leaders need AI that is proven, flexible, secure, and ready to drive outcomes on day one. Our new federal AI application suite turns large-scale data into actionable insights across geospatial, time-series, and sensor fusion use cases – all deployed securely in classified, air-gapped, and hybrid environments,' said Chad Cisco, Senior Vice President of Customer Success, Services, & Solutions at DataRobot. The new application suite is built to enhance performance and control costs in high-security environments: Integrate with real-world environments: Deploy AI within existing infrastructure – whether air-gapped, legacy, or hybrid – while meeting strict compliance, security, and mission-specific requirements. Co-validation against NIST 800-53, CMMC, ITAR, and HIPAA gives security teams full data ownership and policy control. Accelerate critical decisions with mission-ready AI: Get started quickly with use case-based applications built to realize measurable savings in the first production cycle, avoiding the lengthy custom builds that typically delay value. Deliver custom applications fast and on a predictable budget: Leverage mission-specific applications for specialized use cases faster and cheaper than other solution providers, or build your own applications with the DataRobot low-code builder and library of federally validated model components, rather than commissioning ground-up development. Keep AI mission-ready: Protect against drift or adversarial attacks in real-time with built-in tools for retraining and monitoring. Government agencies and institutions can take advantage of custom applications built to address a variety of pressing challenges, including: Unliquidated obligation and contract optimization: Predict surplus funds and reallocate to higher-priority projects. Fraud, waste, and abuse detection: Detect anomalous transactions in real-time to safeguard federal resources. Talent management: Forecast enlistment trends and skill gaps to guide recruiting and training. Operational efficiency and predictive maintenance: Anticipate equipment failures, streamline procurement, and cut downtime. Government customers like the U.S. Army are using DataRobot to reallocate funds to high-priority projects, prevent fraud, reduce operational downtime, and more. 'Our model was deployed into the Army Vantage Platform, allowing Army Contracting Command to de-obligate those funds and reuse them for other priorities. The Army has identified nearly $1B annually over the last two years and reallocated these critical funds due, in part, to successful machine learning technology,' said Bakari Dale, Army Senior Advisor, Enterprise Data Science & AI, at the U.S. Army. DataRobot can be deployed in on-premise and high-security environments, including completely air-gapped or classified enclaves. It provides IL 5-ready security, end-to-end encryption, and is fully validated and integrated with platforms like the Nutanix Cloud Platform solution. The news comes on the heels of DataRobot being recognized as a Nutanix Americas Technology Alliance Partner of the Year for 2025. Learn more To learn more about the DataRobot federal AI application suite, please visit About DataRobot DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. For more information, visit our website and connect with us on LinkedIn.
Bloomberg
24-03-2025
- Business
- Bloomberg
DataRobot CEO on Building Domain-Specific AI: Tech Disruptors
As enterprises across industries look to leverage AI in their workflows, demand is growing for specialized models designed for specific tasks and verticals—creating new opportunities for companies like DataRobot that manage the entire AI lifecycle. In this episode of the Tech Disruptors podcast, Debanjan Saha, CEO at DataRobot, joins Sunil Rajgopal, Bloomberg Intelligence's senior software analyst, to discuss the evolving AI solutions landscape, the importance of predictive analytics, and the value of being both cloud-agnostic and on-premises-friendly. They also cover DataRobot's revenue model, the future of enterprise apps, and competitive dynamics in the AI space.
