DataRobot
Founded Year
2012Stage
Corporate Minority | AliveTotal Raised
$1.089BRevenue
$0000Mosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+20 points in the past 30 days
About DataRobot
DataRobot specializes in artificial intelligence and offers an open, end-to-end AI lifecycle platform within the technology sector. The company provides solutions for scaling AI applications, monitoring and governing AI models, and driving business value through predictive and generative AI. DataRobot serves various industries, including healthcare, manufacturing, retail, and financial services, with its AI platform. It was founded in 2012 and is based in Boston, Massachusetts.
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DataRobot's Product Videos
ESPs containing DataRobot
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The AI development platforms market offers solutions that serve as one-stop shops for enterprises that want to develop and launch in-house AI projects. Vendors in this space enable organizations to manage all aspects of the AI lifecycle — from data preparation, training, and validation to model deployment and continuous monitoring — through a single platform in order to facilitate end-to-end model…
DataRobot named as Outperformer among 15 other companies, including Google Cloud Platform, Databricks, and IBM.
DataRobot's Products & Differentiators
DataRobot AI Cloud
DataRobot AI Cloud is a unified environment built for the next generation of intelligent business. DataRobot AI Cloud serves as a single platform to accelerate delivery of AI to production and deliver clear business results for every organization, bringing together disparate data and users through enhanced collaboration and continuous optimization across the entire AI lifecycle. Built as a multi-cloud platform, DataRobot AI Cloud enables organizations to run on any combination of public clouds, data centers, or at the edge, with governance to protect and secure your business.
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Research containing DataRobot
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned DataRobot in 10 CB Insights research briefs, most recently on Sep 23, 2024.
Sep 23, 2024
The semiconductor manufacturing market map
Sep 29, 2023
The machine learning operations (MLOps) market map
Sep 28, 2023
The automation in advanced manufacturing market map
Aug 16, 2023
The industrial internet of things (IIoT) market map
Expert Collections containing DataRobot
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
DataRobot is included in 10 Expert Collections, including Unicorns- Billion Dollar Startups.
Unicorns- Billion Dollar Startups
1,261 items
Regtech
1,453 items
Technology that addresses regulatory challenges and facilitates the delivery of compliance requirements. Regulatory technology helps companies and regulators address challenges ranging from compliance (e.g. AML/KYC) automation and improved risk management.
AI 100
399 items
Winners of CB Insights' annual AI 100, a list of the 100 most promising AI startups in the world.
Tech IPO Pipeline
825 items
Market Research & Consumer Insights
734 items
This collection is comprised of companies using tech to better identify emerging trends and improve product development. It also includes companies helping brands and retailers conduct market research to learn about target shoppers, like their preferences, habits, and behaviors.
Conference Exhibitors
5,302 items
DataRobot Patents
DataRobot has filed 66 patents.
The 3 most popular patent topics include:
- machine learning
- data management
- classification algorithms
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
7/1/2022 | 8/27/2024 | Machine learning, Software testing, Data mining, Software testing tools, Bioinformatics | Grant |
Application Date | 7/1/2022 |
|---|---|
Grant Date | 8/27/2024 |
Title | |
Related Topics | Machine learning, Software testing, Data mining, Software testing tools, Bioinformatics |
Status | Grant |
Latest DataRobot News
Feb 25, 2025
Updated 2025 Market Reports Released: Trends, Forecasts to 2034 – Early Purchase Your Competitive Edge Today! ” — The Business Research company LONDON, GREATER LONDON, UNITED KINGDOM, February 25, 2025 / EINPresswire.com / -- What Is The Growth Trajectory Of The Generative AI In Real Estate Market? The generative artificial intelligence AI in real estate market has grown exponentially in recent years. From $0.59 billion in 2024, the market is forecasted to grow to $0.77 billion in 2025, reflecting a compound annual growth rate CAGR of 30.7%. This significant growth rate during the historic period can be attributed to urbanization, the increasing demand for personalized property, the surge in the adoption of smart building technologies, the growth in data availability, and increased investments in AI for research and development. Where Is The Generative AI In Real Estate Market Headed? Looking forward, the generative AI in real estate market size is set to see exponential growth. With projections reaching $2.23 billion by 2029, the market expects a CAGR of 30.4%. This surge during the forecast period is expected to be fuelled by the growing demand for new construction, increasing disposable income, the rise in proptech startups, the surging demand for platforms, and a strong inclination towards personalization. Get Your Free Sample Market Report: https://www.thebusinessresearchcompany.com/sample.aspx?id=20812&type=smp What Is Driving The Generative AI In Real Estate Market? The rise in new constructions is a significant driver for the generative AI in real estate market. Urbanization, population growth, and the need for updated infrastructure and housing to accommodate changing lifestyles and economic conditions are increasing the demand for new constructions. Generative AI plays a crucial role in these scenarios by optimizing building designs, automating planning processes, and predicting material requirements. Notably, in February 2023, UK's Office for National Statistics reported that the annual construction output had increased by 5.6% in 2022 compared to 2021, following a record increase of 12.8% in 2021. Order Your Report Now For A Swift Delivery: https://www.thebusinessresearchcompany.com/report/generative-artificial-intelligence-ai-in-real-estate-global-market-report Who Are The Key Industry Players In The Generative Ai In Real Estate Market? Leading companies operating in the generative AI in real estate market are Compass Inc., Rocket Companies, Autodesk Inc., Zillow Group Inc., Yardi Systems Inc., Redfin Corporation, C3.ai Inc., DataRobot Inc., Keller Williams Realty Inc., Matterport Inc., H2O.ai Inc., Matellio Inc., Rex Real Estate Exchange Inc., LocalizeOS Inc., HouseCanary Inc., Hyro Inc., BigOhTech Inc., Roof Ai Inc., RisingMax Inc., SmartZip Analytics Inc., and Entera Inc. What Emerging Trends Are Shaping The Generative AI In Real Estate Market? New generative AI-powered real estate assistants are being developed by major companies in the industry. These tech innovations aim to enhance property valuation accuracy, streamline transaction processes, and improve customer engagement. One such example is the KWIQ, a generative AI-powered real estate assistant launched by Keller Williams Realty Inc. in June 2024. This digital tool offers productivity enhancement features, streamlining marketing efforts, and empowering real estate agents to serve clients more effectively. How Is The Generative AI In Real Estate Market Segmented 1 By Component: Services; Software Tools; Platforms 2 By Deployment Mode: Cloud-Based; On-Premises 3 By Application: Property Valuation; Building Design; Predictive Maintenance; Energy Management; Other Applications 4 By End-User: Real Estate Agents; Property Managers; Architects; Engineers; Other End-Users Subsegments include: 1 By Services: Consulting Services; Integration Services; Support and Maintenance Services; Data Analytics Services 2 By Software Tools: AI-Powered Property Valuation Tools; Predictive Analytics Software For Market Trends; AI-Based Investment Tools; Virtual Property Tours And Visualization Tools 3 By Platforms: AI-Driven Real Estate Platforms; Cloud-Based Property Management Platforms; AI-Based Real Estate Marketplaces; Real Estate CRM Platforms With AI Integration What Are The Regional Insights Into The Generative AI In Real Estate Market? North America was the largest region in the generative artificial intelligence AI in real estate market in 2024, while other regions covered in the report include Asia-Pacific, Western Europe, Eastern Europe, South America, Middle East, and Africa. Browse For More Similar Reports- Artificial Intelligence In Regtech Global Market Report 2025 https://www.thebusinessresearchcompany.com/report/artificial-intelligence-in-regtech-global-market-report Artificial Intelligence In Radiology Global Market Report 2025 https://www.thebusinessresearchcompany.com/report/artificial-intelligence-in-radiology-global-market-report Artificial Intelligence In Oncology Global Market Report 2025 https://www.thebusinessresearchcompany.com/report/artificial-intelligence-in-oncology-global-market-report About The Business Research Company The Business Research Company offers comprehensive, data-rich research and insights across 27 industries spanning over 60 geographies. With 1,500,000 datasets and unique insights from industry leaders, you can stay ahead in the game. Contact us at: The Business Research Company: https://www.thebusinessresearchcompany.com/ Americas +1 3156230293 Asia +44 2071930708 Europe +44 2071930708 Email us at info@tbrc.info Follow us on: LinkedIn: https://in.linkedin.com/company/the-business-research-company YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model Oliver Guirdham The Business Research Company info@tbrc.info Visit us on social media: Facebook X LinkedIn Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. 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DataRobot Frequently Asked Questions (FAQ)
When was DataRobot founded?
DataRobot was founded in 2012.
Where is DataRobot's headquarters?
DataRobot's headquarters is located at 225 Franklin Street, Boston.
What is DataRobot's latest funding round?
DataRobot's latest funding round is Corporate Minority.
How much did DataRobot raise?
DataRobot raised a total of $1.089B.
Who are the investors of DataRobot?
Investors of DataRobot include SBI Group, CrossWork, New Enterprise Associates, Sapphire Ventures, G20 Ventures and 41 more.
Who are DataRobot's competitors?
Competitors of DataRobot include Databricks, RNV Analytics, VULCAiN Ai, Aya Data, Mindtech and 7 more.
What products does DataRobot offer?
DataRobot's products include DataRobot AI Cloud.
Who are DataRobot's customers?
Customers of DataRobot include The Adecco Group and Embrace Home Loans.
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Compare DataRobot to Competitors
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Dataiku develops a centralized data platform. Its solutions include data preparation, visualization, machine learning, analytic applications, and more. The company serves the banking sector, pharmaceuticals, manufacturing telecommunications sector, and more. It was founded in 2013 and is based in New York, New York.
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SAS is a company that focuses on advanced analytics, business intelligence, and data management. They provide software solutions that allow organizations to analyze data and support decision-making. The company serves sectors that require data-driven decision-making, including finance, healthcare, and education. It was founded in 1976 and is based in Cary, North Carolina.
Microsoft Azure is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers.
Domino specializes in accelerating the development and deployment of data science work. It offers a platform that enables access to data, tools, computing, models, and projects across any environment, fostering collaboration and establishing best practices while ensuring governance and reducing costs. Domino primarily serves sectors such as life sciences, financial services, manufacturing, and insurance, providing solutions for preclinical research, clinical development, model risk management, fraud prevention, and more. The company was founded in 2013 and is based in San Francisco, California.
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