Dataiku
Founded Year
2013Stage
Unattributed VC - II | AliveTotal Raised
$864.6MRevenue
$0000Mosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+18 points in the past 30 days
About Dataiku
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.
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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.
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 aspects of the AI lifecycle — from data preparation, training, and validation to model deployment and continuous monitoring — through a single platform to facilitate end-to-end model development.…
Dataiku named as Leader among 15 other companies, including Domino, Scale, and Weights & Biases.
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.
Feb 13, 2025
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Sep 23, 2024
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Sep 29, 2023
The machine learning operations (MLOps) market map
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.
Unicorns- Billion Dollar Startups
1,297 items
AI 100 (All Winners 2018-2025)
200 items
Artificial Intelligence (AI)
37,207 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Generative AI
2,951 items
Companies working on generative AI applications and infrastructure.
Tech IPO Pipeline
257 items
The tech companies we think could hit the public markets next, according to CB Insights data.
Latest Dataiku News
Oct 30, 2025
Dataiku、NVIDIA技術を活用した「AI Factory Accelerator」を発表--信頼性の高いエンタープライズAIを支援 藤本和彦 （編集部） Dataikuは10月30日、NVIDIAの技術を活用したソリューション「AI Factory Accelerator」を発表した。この取り組みは、Dataikuのガバナンス基盤とNVIDIAのアクセラレーテッドコンピューティングを組み合わせることで、企業がAIの試験導入段階から業界全体での本格的な運用成果へと迅速に移行できるよう支援する。 今回の協業により、企業はNVIDIAのAIインフラとDataikuのAIプラットフォームを活用し、ガバナンスの効いたエージェント型AIワークフローの開発・拡張が可能となる。AI Factory Acceleratorには、「NVIDIA NIM」マイクロサービスや「NVIDIA CUDA-X Data Science」ライブラリーなど、「NVIDIA AI Enterprise」ソフトウェアプラットフォームが統合されており、Dataikuのノーコードからフルコードまで対応する環境内で、データサイエンス、モデル開発、推論の高速化を実現する。 このソリューションは、大規模なAIの開発・展開を可能にする統一された高性能基盤を提供し、業種を問わず幅広い組織に対応するよう設計されている。初期導入は金融サービス分野に焦点を当てており、銀行、保険会社、資産運用会社などが、リスクモデリング、不正検知、顧客パーソナライゼーションといった重要なユースケースにおいて、信頼性の高い本番環境レベルの生成AIおよびエージェント型AIを活用できるようになるという。 さらに、AI Factory Acceleratorは、NVIDIAの「AI Factory for Government」リファレンスデザインにも対応しており、公共部門におけるAI導入の加速にも寄与するとしている。なお、現在はNVIDIA AI Enterpriseソフトウェアをサポートする環境で利用可能となっている。 ZDNET Japan 記事を毎朝メールでまとめ読み（登録無料）
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 Unattributed VC - II.
How much did Dataiku raise?
Dataiku raised a total of $864.6M.
Who are the investors of Dataiku?
Investors of Dataiku include MicroVentures, NVIDIA DGX-Ready Managed Services, FirstMark Capital, Battery Ventures, CapitalG and 21 more.
Who are Dataiku's competitors?
Competitors of Dataiku include Domino, Chalk, 2021.AI, PAASUP, Amber Road 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
DataRobot operates as a company that 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.
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.
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.
Domino operates in the enterprise Artificial Intelligence (AI) platform sector, providing a platform for building, deploying, and managing AI models. It focuses on collaboration, governance, and cost reduction. It serves sectors that utilize model-driven business strategies, including life sciences, financial services, manufacturing, and insurance. It was founded in 2013 and is based in San Francisco, California.
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.
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.
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