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.
-48 points in the past 30 days
About DataRobot
DataRobot provides artificial intelligence (AI) applications and platforms within the enterprise AI suite and agentic AI platform domains. Its offerings include a suite of AI tools that integrate into business processes, allowing teams to manage AI, along with AI governance, observability, and foundational tools. DataRobot serves sectors including finance, supply chain, energy, financial services, government, healthcare, and manufacturing, and collaborates with NVIDIA and SAP. 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 Many manufacturing companies still rely on outdated methods to manage their operations, leading to delayed shipments, unplanned overtime, and decreased profitability.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 Challenger among 15 other companies, including Microsoft, Google, and Oracle.
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 9 CB Insights research briefs, most recently on Nov 3, 2025.
Nov 3, 2025 report
Tech IPO Pipeline 2026: Book of Scouting Reports
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
1,297 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 (All Winners 2018-2025)
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 (AI)
37,256 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
DataRobot Patents
DataRobot has filed 66 patents.
The 3 most popular patent topics include:
- machine learning
- classification algorithms
- artificial intelligence
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
7/1/2022 | 8/27/2024 | Software testing, Software testing tools, Natural language processing, Machine learning, Project management | Grant |
Application Date | 7/1/2022 |
|---|---|
Grant Date | 8/27/2024 |
Title | |
Related Topics | Software testing, Software testing tools, Natural language processing, Machine learning, Project management |
Status | Grant |
Latest DataRobot News
Nov 6, 2025
A detailed analysis of the competitive landscape, key vendors, market trends, and opportunities in enterprise cloud-based AI platforms. Cloud-based enterprise AI platforms consist of tools and solutions that allow enterprises to incorporate AI capabilities (including predictive and generative AI [GenAI], as well as AI agents) into their applications and business processes. The platforms target AI experts, data scientists, and citizen developers (via low-code/no-code functionality). They include tools designed to streamline the building, training, tuning, deployment, and management of customized ML algorithms. The platforms have expanded to include capabilities that help organizations incorporate, customize, and evaluate large language models (LLMs), as well as deploy AI agents. They are increasingly offering features that help organizations deploy responsible and ethical AI, such as the ability to create audit trails and track models built in other platforms. Scope End-to-end assessment of cloud-based enterprise AI platforms across GenAI and agentic AI, with six buying-criteria ratings and product scores for 10 rated vendors; incorporates key 2025 developments (Azure AI Foundry Agent Services GA, AWS Bedrock AgentCore preview, Google's A2A protocol, IBM ACP & Agent Builder, Salesforce Agentforce/AgentExchange, DataRobot Agent Workforce, Dataiku AI Agent Build) to provide the most current view of capabilities and roadmaps. Reasons to Buy Bridges strategy and procurement: links market drivers, governance/responsible-AI tooling, and professional-services strength to concrete buyer recommendations and use cases; compares LLM access, agent tooling, sovereignty/edge options, and partner ecosystems to de-risk vendor selection for global enterprises. Key Topics Covered:
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 Holdings, CrossWork, NEA, Sapphire Ventures, G20 Ventures and 60 more.
Who are DataRobot's competitors?
Competitors of DataRobot include Fireworks AI, AMESA, LlamaIndex, Airia, OpenPipe 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
Dataiku specializes in Artificial Intelligence (AI) and analytics, offering a platform for enterprises to build, deploy, and manage Artificial Intelligence (AI) projects. The company provides tools for machine learning, data preparation, analytics, and governance for Artificial Intelligence (AI). It serves industries including banking, life sciences, manufacturing, and retail. It was founded in 2013 and is based in New York, New York.
H2O.ai specializes in generative AI and machine learning. It provides a comprehensive AI cloud platform for various industries. The company offers a suite of AI cloud products, including automated machine learning, distributed machine learning, and tools for AI-driven data extraction and processing. H2O.ai caters to sectors such as financial services, healthcare, insurance, manufacturing, marketing, retail, and telecommunications. H2O.ai was formerly known as 0xdata. It was founded in 2012 and is based in Mountain View, California.
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Alteryx focuses on enterprise analytics, providing a platform for data analysis across various environments. The company offers an analytics platform that can be deployed on-premises, in hybrid, or cloud environments, allowing organizations to automate analytics and improve decision-making processes. Alteryx primarily serves sectors that require data analytics to improve revenue, manage costs, and mitigate risks. Alteryx was formerly known as SRC. It was founded in 1997 and is based in Irvine, California.
SAS operates as a company specializing in artificial intelligence (AI) and analytics within the technology sector. It provide solutions that help organizations analyze data and gain insights. The company serves sectors that require data analytics and business intelligence. SAS was formerly known as Statistical Analysis System. It was founded in 1976 and is based in Cary, North Carolina.
KLASS focuses on applied research and development in engineering, offering solutions across various sectors. The company specializes in addressing challenges, designing use cases, and collaborating with clients. KLASS provides services including data analytics, speech and audio analytics, cloud technology and applications, video analytics, cyber security, and robotics and autonomous systems. It was founded in 2015 and is based in Singapore.
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