Founded Year

2013

Stage

Incubator/Accelerator - IV | Alive

Total Raised

$864.6M

Revenue

$0000 

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

-11 points in the past 30 days

About Dataiku

Dataiku is an artificial-intelligence (AI) platform that integrates technology, teams, and operations to assist companies in incorporating intelligence into their daily operations across various industries. The platform provides tools for building, deploying, and managing data, analytics, and AI projects, including Generative AI, Machine Learning, data preparation, insights generation, and AI governance. Dataiku serves banking, life sciences, manufacturing, telecommunications, insurance, retail, public sector, utilities, energy, and healthcare sectors. It was founded in 2013 and is based in New York, New York.

Headquarters Location

125 West 25th Street 7th Floor

New York, New York, 10001,

United States

646-568-7477

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Dataiku's Product Videos

ESPs containing Dataiku

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Enterprise Tech / Supply Chain & Procurement

The demand forecasting and inventory optimization market offers solutions that utilize sales data and other relevant metrics to drive inventory and supply chain planning improvements. These solutions use advanced technologies such as artificial intelligence and machine learning to forecast demand accurately across sales channels and help plan more efficient and cost-effective inventory ordering. T…

Dataiku named as Highflier among 15 other companies, including Oracle, RELEX, and SAP.

Dataiku's Products & Differentiators

    Dataiku

    Dataiku is the platform for Everyday AI. With the explosion of generative AI, everyone is using AI for everyday tasks. Companies want to channel that excitement to transform business outcomes. Dataiku’s single, coherent platform is the only product that welcomes users with a wide range of skills and expertise, covers the full lifecycle of an AI project, and provides value to individuals at every level. Dataiku accelerates AI projects from months to days with a rich visual interface, built-in solutions, and pre-built components that take full advantage of a wide variety of generative AI services and cloud platforms for maximum speed and scale. Dataiku also provides strong MLOps, responsible AI, and governance capabilities, allowing teams and executives to monitor and manage AI projects and build confidence in AI outcomes.

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Research containing Dataiku

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Dataiku in 5 CB Insights research briefs, most recently on Feb 13, 2025.

Expert Collections containing Dataiku

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Dataiku is included in 5 Expert Collections, including Unicorns- Billion Dollar Startups.

U

Unicorns- Billion Dollar Startups

1,286 items

A

AI 100 (All Winners 2018-2025)

200 items

G

Generative AI

2,793 items

Companies working on generative AI applications and infrastructure.

T

Tech IPO Pipeline

257 items

The tech companies we think could hit the public markets next, according to CB Insights data.

A

Artificial Intelligence

10,195 items

Latest Dataiku News

Growing at 33.6% CAGR | Data Science Platform Market Reach USD 79.7 Billion by 2030 Globally

Sep 4, 2025

33.6% CAGR | Data Science Platform Market Reach USD 79.7 Billion by 2030 Globally." The report offers an extensive analysis of key growth strategies, drivers, opportunities, key segment, Porter's Five Forces analysis, and competitive landscape. This study is a helpful source of information for market players, investors, VPs, stakeholders, and new entrants to gain thorough understanding of the industry and determine steps to be taken to gain competitive advantage. The global data science platform market was valued at USD 4.7 billion in 2020, and is projected to reach USD 79.7 billion by 2030, growing at a CAGR of 33.6% from 2021 to 2030. Request Sample Report (Get Full Insights in PDF – 301 Pages) at: https://www.alliedmarketresearch.com/request-sample/2307 Advancements in big data technology, emphasis on collecting & using data for decision making, and a surge in reliance on machine learning drive the growth of the global data science platform market. However, high investment cost and issues related to data privacy, security, & reliability hinder the market growth. On the other hand, surge in adoption of cloud-based solutions & services present new opportunities in the coming years. Data science platform market is segmented on the basis of component, application, industry vertical, and region. On the basis of component, it is divided into platform and services. On the basis of application, it is divided into marketing & sales, logistics, finance and accounting, customer support, and others. According to the industry vertical, it is segmented into BFSI, IT & telecommunication, retail & E-Commerce, healthcare, transportation, manufacturing and others). Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA. Leading players of the global data science platform industry analyzed in the research include Microsoft Corporation, SAS Institute, Inc., IBM Corporation, RapidMiner, Inc., SAP SE, Alteryx, Inc., Dataiku, The MathWorks, Inc., FICO, and Teradata. If you have any questions, Please feel free to contact our analyst at: https://www.alliedmarketresearch.com/connect-to-analyst/2307 Based on region, North America accounted for the highest share in 2020, contributing to around half of the total market share, and is projected to continue its leadership status by 2030. However, Asia-Pacific is projected to portray the fastest CAGR of 35.8% during the forecast period. Based on components, the platform segment contributed to the highest share in 2020, accounting for more than three-fifths of the total market share. However, the services segment is projected to manifest the highest CAGR of 37.9% from 2021 to 2030. Based on industry vertical, the BFSI segment held the largest share in 2020, accounting for around one-fourth of the global data science platform market. However, the healthcare segment is estimated to witness the largest CAGR of 36.8% during the forecast period. Buy Complete Report (301 Pages PDF with Insights, Charts, Tables, and Figures) at: https://www.alliedmarketresearch.com/checkout-final/a4481eb79e588bde9e1639ed84284c02 Covid-19 Scenario: ● Various organizations adopted the work-from-home culture due to lockdown measures. This created the demand for data science platforms to manage critical information of organizations. This presented lucrative opportunities for market growth. ● Moreover, governments in numerous countries adopted data science to avail real-time data on coronavirus cases and gain actionable insights from the data. Enquiry Before Buying: https://www.alliedmarketresearch.com/purchase-enquiry/2307 Thanks for reading this article, you can also get an individual chapter-wise section or region-wise report versions like North America, Europe, or Asia. If you have any special requirements, please let us know and we will offer you the report as per your requirements. Lastly, this report provides market intelligence most comprehensively. The report structure has been kept such that it offers maximum business value. It provides critical insights into the market dynamics and will enable strategic decision-making for the existing market players as well as those willing to enter the market. Other Trending Reports: In-Store Analytics Market Language Translation Software Market About Us: Allied Market Research (AMR) is a market research and business-consulting firm of Allied Analytics LLP, based in Portland, Oregon. AMR offers market research reports, business solutions, consulting services, and insights on markets across 11 industry verticals. Adopting extensive research methodologies, AMR is instrumental in helping its clients to make strategic business decisions and achieve sustainable growth in their market domains. We are equipped with skilled analysts and experts and have a wide experience of working with many Fortune 500 companies and small & medium enterprises. Pawan Kumar, the CEO of Allied Market Research, is leading the organization toward providing high-quality data and insights. We are in professional corporate relations with various companies. This helps us dig out market data that helps us generate accurate research data tables and confirm utmost accuracy in our market forecasting. Every data company in the domain is concerned. Our secondary data procurement methodology includes deep presented in the reports published by us is extracted through primary interviews with top officials from leading online and offline research and discussion with knowledgeable professionals and analysts in the industry. Contact: David Correa 1209 Orange Street, Corporation Trust Center, Wilmington, New Castle, Delaware 19801 USA. Int'l: +1-503-894-6022 Toll Free: +1-800-792-5285 UK: +44-845-528-1300 | India (Pune): +91-20-66346060 David Correa Allied Market Research email us here Visit us on social media: LinkedIn Facebook YouTube X 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. If you have any complaints or copyright issues related to this article, kindly contact the author above.

Aug 22, 2025
Dataiku

Dataiku Frequently Asked Questions (FAQ)

  • When was Dataiku founded?

    Dataiku was founded in 2013.

  • Where is Dataiku's headquarters?

    Dataiku's headquarters is located at 125 West 25th Street, New York.

  • What is Dataiku's latest funding round?

    Dataiku's latest funding round is Incubator/Accelerator - IV.

  • How much did Dataiku raise?

    Dataiku raised a total of $864.6M.

  • Who are the investors of Dataiku?

    Investors of Dataiku include NVIDIA DGX-Ready Managed Services, FirstMark Capital, Battery Ventures, CapitalG, Dawn Capital and 19 more.

  • Who are Dataiku's competitors?

    Competitors of Dataiku include Domino, Databricks, Chalk, 2021.AI, PAASUP and 7 more.

  • What products does Dataiku offer?

    Dataiku's products include Dataiku.

  • Who are Dataiku's customers?

    Customers of Dataiku include Banker's Bank, Unilever, US Venture, Floa Bank and Thrive SPC.

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Compare Dataiku to Competitors

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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. It was founded in 2012 and is based in Boston, Massachusetts.

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H2O.ai

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

Alteryx is a company specializing in enterprise analytics, providing a platform that facilitates data preparation and analytics processes. The company's products allow users to conduct data analysis, develop predictive models, and visualize data insights. Alteryx serves sectors that require data analytics capabilities, including financial services, retail, healthcare, and manufacturing. Alteryx was formerly known as SRC. It was founded in 1997 and is based in Irvine, California.

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Domino

Domino provides an enterprise artificial intelligence platform for AI model development and deployment across various industries. The company's offerings include a platform for building, deploying, and managing AI models, with features that support collaboration and integration into enterprise workflows. Its platform is intended to support AI operations and knowledge sharing within organizations. The company was founded in 2013 and is based in San Francisco, California.

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BigML

BigML is a company that operates in the machine learning sector. They provide a platform for businesses to analyze and predict customer behavior, site conversion rates, healthcare diagnostics, risk profiles, inventory optimization, and other data-driven insights. The company's services allow individuals without expert knowledge in machine learning to upload data and explore its potential. It was founded in 2011 and is based in Corvallis, Oregon.

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SAS

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.

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