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.
-7 points in the past 30 days
About DataRobot
DataRobot specializes in artificial intelligence, offering 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 discrete manufacturing analytics (factory analytics) market helps manufacturing companies (including automotive, aerospace, retail, and consumer goods) improve operations through advanced analytics and artificial intelligence. Many manufacturing companies still rely on outdated methods to manage their operations, leading to delayed shipments, unplanned overtime, and decreased profitability. Th…
DataRobot named as Leader among 15 other companies, including Databricks, AVEVA, and SparkCognition.
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 13 CB Insights research briefs, most recently on Oct 3, 2023.
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
1,244 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.
Artificial Intelligence
14,769 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
DataRobot Patents
DataRobot has filed 64 patents.
The 3 most popular patent topics include:
- machine learning
- classification algorithms
- data management
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
Sep 20, 2024
News Provided By Share This Article Enterprise Artificial Intelligence The Enterprise Artificial Intelligence market size is estimated to increase by USD at a CAGR of 32.00% by 2030. Stay up to date with Enterprise Artificial Intelligence Market research offered by HTF MI. Check how key trends and emerging drivers are shaping this industry growth.” — Nidhi Bhawsar PUNE, MAHARASHTRA, INDIA, September 20, 2024 / EINPresswire.com / -- According to HTF Market Intelligence, the Global Enterprise Artificial Intelligence market to witness a CAGR of 32.00% during the forecast period (2024-2030). The Latest Released Enterprise Artificial Intelligence Market Research assesses the future growth potential of the Enterprise Artificial Intelligence market and provides information and useful statistics on market structure and size. This report aims to provide market intelligence and strategic insights to help decision-makers make sound investment decisions and identify potential gaps and growth opportunities. Additionally, the report identifies and analyses the changing dynamics and emerging trends along with the key drivers, challenges, opportunities and constraints in the Enterprise Artificial Intelligence market. The Enterprise Artificial Intelligence market size is estimated to increase by USD at a CAGR of 32.00% by 2030. The report includes historic market data from 2024 to 2030. The Current market value is pegged at USD . Download Sample Report PDF (Including Full TOC, Table & Figures) @ https://www.htfmarketintelligence.com/sample-report/global-enterprise-artificial-intelligence-ai-market?utm_source=Tarusha_EIN&utm_id=Tarusha The Major Players Covered in this Report: The key players profiled in the report are Amazon Web Services, Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, Intel Corporation, Alphabet, SAP SE, C3.ai, Inc., DataRobot, Inc., Hewlett Packard Enterprise, Wipro Limited, NVidia Corporat Definition: Enterprise AI refers to the implementation of artificial intelligence technologies—such as machine learning, natural language processing (NLP), computer vision, and robotics—within business operations. It is used to enhance automation, decision-making, predictive analytics, and customer interactions in enterprises across various industries. Market Trends: • AI-Powered Automation: Enterprises are increasingly using AI to automate repetitive tasks, streamline workflows, and optimize supply chains, leading to reduced operational costs. Market Drivers: • Big Data Growth: The exponential growth of data in enterprises is driving the need for AI to analyze and process large datasets, turning raw data into actionable insights. Market Opportunities: • AI in Healthcare: Enterprises in the healthcare sector are adopting AI for medical imaging analysis, predictive diagnostics, personalized medicine, and improving patient care efficiency. Market Challenges: • Data Privacy and Security Concerns: Enterprises face challenges in managing sensitive data, adhering to regulatory frameworks like GDPR, and protecting data from breaches in AI-driven systems. Market Restraints: • Regulatory and Ethical Concerns: AI technologies face increasing scrutiny regarding ethical issues, including the impact on jobs, decision-making transparency, and accountability in AI-driven processes. Get Access to Statistical Data, Charts & Key Players' Strategies @ https://www.htfmarketintelligence.com/enquiry-before-buy/global-enterprise-artificial-intelligence-ai-market?utm_source=Tarusha_EIN&utm_id=Tarusha The titled segments and sub-sections of the market are illuminated below: In-depth analysis of Enterprise Artificial Intelligence market segments by Types: by Technology (Natural Language Processing (NLP), Machine Learning, Computer Vision, Speech Recognition) Detailed analysis of Enterprise Artificial Intelligence market segments by Applications: by Application (Media & Advertising, IT & Telecom, Healthcare, Automotive & Transportation, Retail, BFSI) by Technology (Natural Language Processing (NLP), Machine Learning, Computer Vision, Speech Recognition) Major Key Players of the Market: The key players profiled in the report are Amazon Web Services, Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, Intel Corporation, Alphabet, SAP SE, C3.ai, Inc., DataRobot, Inc., Hewlett Packard Enterprise, Wipro Limited, NVidia Corporat Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions: - The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.) - North America (United States, Mexico & Canada) - South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.) - Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.) - Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia). Objectives of the Report: - -To carefully analyse and forecast the size of the Enterprise Artificial Intelligence market by value and volume. - -To estimate the market shares of major segments of the Enterprise Artificial Intelligence market. - -To showcase the development of the Enterprise Artificial Intelligence market in different parts of the world. - -To analyse and study micro-markets in terms of their contributions to the Enterprise Artificial Intelligence market, their prospects, and individual growth trends. - -To offer precise and useful details about factors affecting the growth of the Enterprise Artificial Intelligence market. - -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the Enterprise Artificial Intelligence market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches. Global Enterprise Artificial Intelligence (AI) Market Breakdown by Application (Media & Advertising, IT & Telecom, Healthcare, Automotive & Transportation, Retail, BFSI) by Technology (Natural Language Processing (NLP), Machine Learning, Computer Vision, Speech Recognition) by Deployment Mode (Cloud, On-premises) by Organization Size (Small & Medium Enterprises, Large Enterprises) and by Geography (North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA) Key takeaways from the Enterprise Artificial Intelligence market report: – Detailed consideration of Enterprise Artificial Intelligence market-particular drivers, Trends, constraints, Restraints, Opportunities, and major micro markets. – Comprehensive valuation of all prospects and threats in the – In-depth study of industry strategies for growth of the Enterprise Artificial Intelligence market-leading players. – Enterprise Artificial Intelligence market latest innovations and major procedures. – Favourable dip inside Vigorous high-tech and market latest trends remarkable the Market. – Conclusive study about the growth conspiracy of Enterprise Artificial Intelligence market for forthcoming years. Major questions answered: - What are influencing factors driving the demand for Enterprise Artificial Intelligence near future? - What is the impact analysis of various factors in the Global Enterprise Artificial Intelligence market growth? - What are the recent trends in the regional market and how successful they are? - How feasible is Enterprise Artificial Intelligence market for long-term investment? Major highlights from Table of Contents: Enterprise Artificial Intelligence Market Study Coverage: - It includes major manufacturers, emerging player's growth story, and major business segments of Global Enterprise Artificial Intelligence (AI) Market Opportunities & Growth Trend to 2030 market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology. - Global Enterprise Artificial Intelligence (AI) Market Opportunities & Growth Trend to 2030 Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators. - Enterprise Artificial Intelligence Market Production by Region Enterprise Artificial Intelligence Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors. Key Points Covered in Enterprise Artificial Intelligence Market Report: - Enterprise Artificial Intelligence Overview, Definition and Classification Market drivers and barriers - Enterprise Artificial Intelligence Market Competition by Manufacturers - Enterprise Artificial Intelligence Capacity, Production, Revenue (Value) by Region (2024-2030) - Enterprise Artificial Intelligence Supply (Production), Consumption, Export, Import by Region (2024-2030) - Enterprise Artificial Intelligence Production, Revenue (Value), Price Trend by Type {by Technology (Natural Language Processing (NLP), Machine Learning, Computer Vision, Speech Recognition)} - Enterprise Artificial Intelligence Market Analysis by Application {by Application (Media & Advertising, IT & Telecom, Healthcare, Automotive & Transportation, Retail, BFSI) by Technology (Natural Language Processing (NLP), Machine Learning, Computer Vision, Speech Recognition)} - Enterprise Artificial Intelligence Manufacturers Profiles/Analysis Enterprise Artificial Intelligence Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing - Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis. Thanks for reading this article; you can also get individual chapter-wise sections or region-wise report versions like North America, MINT, BRICS, G7, Western / Eastern Europe, or Southeast Asia. Also, we can serve you with customized research services as HTF MI holds a database repository that includes public organizations and Millions of Privately held companies with expertise across various Industry domains. About Author: HTF Market Intelligence Consulting is uniquely positioned to empower and inspire with research and consulting services to empower businesses with growth strategies, by offering services with extraordinary depth and breadth of thought leadership, research, tools, events, and experience that assist in decision-making. Contact Us: HTF Market Intelligence Consulting Private Limited Phone: +15075562445
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 Attio, DarwinAI, Chalk, Databricks, Sherpa.ai 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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H2O.ai delivers an advanced artificial intelligence (AI) cloud platform. It helps to solve complex business problems and instigate the discovery of new ideas. The company makes machine learning (ML) accessible to corporations and allows business users to extract key information from data with deployments in financial services, government, health, insurance, manufacturing, and other industries. It was formerly known as 0xdata. The company was founded in 2011 and is based in Mountain View, California.
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 telecommunication sector, and more. It was founded in 2013 and is based in New York, New York.
SAS focuses on artificial intelligence (AI) and analytics and operates within the technology sector. The company provides services that enable customers to analyze and interpret data more efficiently and productively. The primary market for SAS's services is businesses across various sectors that require data analysis and interpretation. It was founded in 1976 and is based in Cary, North Carolina.
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