Dataiku Inc.
Dataiku Inc. is a leading provider of data science and machine learning platforms. Their flagship product, Dataiku, empowers organizations to build, deploy, and manage AI projects collaboratively. Founded in 2013 and headquartered in New York City, they serve various industries including finance, healthcare, and retail.
Founded: 2013
Headquarters: New York, New York, United States
Revenue: 100m_1b
Employees: 1k_5k
Website: https://www.dataiku.com/
Products
Platforms
Milestones
- 2022-12-01: Investors Behind the Success of Dataiku
Company Wiki
Dataiku Inc. is a French-American enterprise artificial intelligence and machine learning company, founded in 2013 in Paris and headquartered in New York City. The company develops and sells the Dataiku Universal AI Platform (formerly Dataiku Data Science Studio / DSS), an end-to-end platform for data preparation, machine learning, generative AI, MLOps, and AI governance. It operates in the Data Science and Machine Learning Platforms and AI Governance market categories, serving large enterprises across financial services, life sciences, manufacturing, retail, and other sectors.
AI-generated reference entry from web research · Generated 2026-08-12. Citations identify available source support; claims without a citation are not independently verified.
Key Facts
- Founded: 2013, Paris, France [1]
- Headquarters: New York, NY, USA [3]
- CEO & Co-founder: Florian Douetteau [3]
- Total Funding Raised: ~$1.04 billion across 9 rounds [3]
- Last Valuation: $3.7 billion (December 2022, Series F) [3]
- Annual Recurring Revenue: Surpassed $350M ARR (announced October 2025)
- Employees: ~1,621 (as of May 2026, per Tracxn) [3]
- IPO Preparation: Morgan Stanley and Citigroup engaged as underwriters (October 2025); no public filing confirmed as of mid-2026 [19]
Overview
Dataiku Inc. builds and markets the Universal AI Platform, described by the company as a centralized environment for data experts and business users to collaboratively design, deploy, and manage AI and analytics applications [1]. The platform spans the full AI lifecycle: data ingestion and preparation, visual and code-based machine learning model development, AutoML, generative AI application building, MLOps, and AI governance [2]. It supports both no-code visual workflows and full-code environments in Python, R, SQL, Scala, PySpark, and other languages, targeting a mixed audience of data scientists, data engineers, and non-technical business users [3, 4]. Deployment options include on-premises installation, self-managed cloud (AWS, Azure, Google Cloud), and a fully managed SaaS offering called Dataiku Online, launched in June 2021 to address smaller and mid-market organizations [5]. The company's go-to-market strategy centers on large enterprise direct sales, supplemented by partnerships with systems integrators, consultancies, and cloud platform vendors [6].
History
Dataiku was founded in Paris in 2013 by Florian Douetteau, Clément Stenac, Thomas Cabrol, and Marc Batty [1]. In 2015, the company established a U.S. presence in New York City [1]. Early funding included a $3.6 million seed round in January 2015 from Serena Capital and Alven Capital, followed by a $14 million Series A led by FirstMark Capital in October 2016, and a $28 million Series B from Battery Ventures in September 2017 [1]. In December 2018, Dataiku raised a $101 million Series C led by ICONIQ Capital with participation from Alven Capital, Battery Ventures, Dawn Capital, and FirstMark Capital [8]. CapitalG—Alphabet Inc.'s late-stage growth fund—joined as an investor in December 2019, at which point Dataiku achieved unicorn status [1]. A $100 million Series D followed in August 2020, led by Stripes and Tiger Global Management [1]. In August 2021, Dataiku raised $400 million in a Series E at a $4.6 billion valuation, led by Tiger Global Management [1]. In December 2022, Wellington Management led a $200 million Series F at a reduced valuation of $3.7 billion [9]. Total capital raised reached approximately $1.04 billion across nine rounds [3]. In October 2025, Reuters reported that Dataiku had hired Morgan Stanley and Citigroup to prepare for a potential U.S. IPO as soon as the first half of 2026 [19]. No public filing had been confirmed as of mid-2026 [7].
Market Position
Dataiku operates in the Data Science and Machine Learning (DSML) Platforms category as defined by Gartner, and in the AI Governance Platforms category as defined by IDC. Dataiku has been named a Leader in the Gartner Magic Quadrant for AI Platforms for Data Science and Machine Learning for five consecutive years [48]. In the 2024 iteration—the report's first edition after a three-year hiatus—Dataiku was positioned furthest along the 'Completeness of Vision' axis among all vendors evaluated [16]. In December 2025, IDC positioned Dataiku as a Leader in the IDC MarketScape: Worldwide Unified AI Governance Platforms 2025–2026 Vendor Assessment [18]. Constellation Research placed Dataiku on its ShortList for Self-Service Data Science and Machine Learning and for MLOps in 2024 [11]. On Gartner Peer Insights, Dataiku received a Customers' Choice distinction for the Data Science and Machine Learning Platforms category in 2024, with a 4.8/5 overall rating based on 288 reviews and a 96% Willingness to Recommend score [15]. Notable customers documented by the company and trade press include Johnson & Johnson, Toyota, General Electric, BNP Paribas, Michelin, Standard Chartered Bank, Novartis, and Aviva [40, 48]. In October 2025, Dataiku announced it had surpassed $350 million in annual recurring revenue (ARR) [31]. Sacra estimated ARR at approximately $342.5 million as of September 2025, up from $300 million at the end of 2024 [19].
Competition
Dataiku competes primarily in the enterprise AI and ML platform category. PitchBook identifies DataRobot, Datameer, Tableau Software, SAS Institute, and Twilio Segment among its competitive set [4]. Tracxn lists Databricks, Altair, and Domo as top competitors [3]. Analysts and third-party sources consistently identify Databricks as a major direct competitor: Databricks is particularly strong in data warehousing, data lakes, and Spark-based big data processing, while Dataiku positions its differentiation around a more accessible multi-persona interface and embedded AI governance [23]. Alteryx competes with Dataiku on analytics automation and self-service data preparation, emphasizing drag-and-drop workflows for non-technical users [23]. H2O.ai competes on open-source machine learning and AutoML [23]. Cloud hyperscaler services—AWS SageMaker, Azure Machine Learning, and Google Vertex AI—represent structural competitive pressure because they are bundled into existing cloud commitments [32]. Built In notes that competition from Databricks, Google, AWS, SAS, and others means purchasing decisions often hinge on cloud alignment, data engineering requirements, or MLOps depth [14]. KNIME and RapidMiner are cited as lower-cost or open-source alternatives, particularly for teams focused narrowly on predictive modeling [25]. Dataiku is consistently noted by third-party sources as infrastructure-independent and model-agnostic, positioning it against vendors that are more tightly coupled to a specific cloud or data platform [11].
Additional Links
- Dataiku Features Glossary — Dataiku
- Dataiku plans IPO in the US — Techzine Global, 2025-10-02
- Dataiku Is a Gartner Peer Insights Customers' Choice — Dataiku, 2024-12-13
- Industry analyst and customer recognition for Dataiku (blog) — Dataiku, 2026-06-24
- What is Dataiku? Simplifying Data Science and AI for Teams — Devoteam, 2024-11-06
- Dataiku vs Databricks: Which One's Better? (In 2026) — Mammoth Analytics, 2026-05-18
Sources
- Dataiku — Wikipedia, 2026-07-07
- Dataiku - Crunchbase Company Profile & Funding — Crunchbase
- Dataiku - 2026 Company Profile, Team, Funding & Competitors — Tracxn, 2026
- Dataiku 2026 Company Profile: Valuation, Funding & Investors — PitchBook
- Dataiku - 2026 Funding Rounds & List of Investors — Tracxn, 2026-07-01
- Dataiku Raises $101 Million Series C to Transform and Democratize Enterprise AI Globally — Dataiku (press release), 2018-12-19
- Dataiku bags $200m Series F funding at $3.7bn valuation — Fintech Futures, 2022-12-13
- Dataiku Raises $400M at a $4.6B Valuation to Enable Everyday AI in the Enterprise — Dataiku (press release), 2021-08-05
- Dataiku revenue, valuation & funding — Sacra
- Industry analyst and customer recognition for Dataiku — Dataiku, 2026-06-08
- Dataiku Named a Customers' Choice in the Gartner 2024 Voice of the Customer for Data Science and Machine Learning Platforms — GlobeNewswire, 2024-12-17
- Dataiku Named a Leader in Gartner's 2024 Magic Quadrant for DSML Platforms — BigDATAwire / HPCwire, 2024-06-21
- Dataiku Recognized in IDC MarketScape for Worldwide Unified AI Governance Platforms — Dataiku (press release), 2025-12-22
- Dataiku Company Growth, Stability & Outlook 2026 — Built In, 2026
- Exclusive-AI data analytics startup Dataiku picked banks for US IPO, sources say — Yahoo Finance / Reuters, 2025-10-01
- Dataiku IPO Guide 2026: Date, Valuation, and How to Invest — Access IPOs, 2026-05-12
- What is Competitive Landscape of Dataiku Company? — CanvasBusinessModel.com, 2025-07-26
- Dataiku Reviews & Ratings 2026 | Gartner Peer Insights — Gartner Peer Insights, 2026-01-28
- Dataiku — official website — Dataiku
Editorial note: The $150M revenue figure cited in a 2022 Forbes article headline (referenced in Wikipedia) has not been independently retrieved and verified in this session and was therefore omitted. Dataiku's exact customer count fluctuates across sources (ranging from ~500 to 700+); the figure cited in the entry is sourced from the Yahoo Finance/Reuters report dated October 2025, which states 'more than 700 organizations.' Employee count differs slightly across Tracxn (~1,621 as of May 2026), Getlatka (~1,300), and PitchBook (~1,200); the Tracxn figure is used as it carries the most recent stated date. Exact profitability status is unconfirmed publicly.