Dataiku
Unicorn · $4.6BNew York, US · Delaware corporation · 15 known investors
Dataiku provides an enterprise platform for building, deploying, and governing AI, machine learning, LLMs, and agents across an organization's data and infrastructure. It serves large enterprises across industries such as healthcare, insurance, manufacturing, and retail, with an emphasis on collaboration between business and technical teams and centralized governance.
Also known as Dataiku Data Science Studio · Dataiku DSS · Dataiku Inc.
Founders & leadership



Board


Investors · 15
Reported raises · per SEC filings
Form D private placements$492M disclosed across 3 of 9 rounds · 2015–2022
▶$204MraisedDec 2022 · 8 investors · OtherRule 506(b)
- Peter CampbellDirector
- Clement StenacDirector, Promoter
- Elissa FinkDirector
- Marc BattyDirector, Promoter
- Neeraj AgrawalDirector
- Adam TownsExecutive Officer
- Matt TurckDirector
- Edward BushExecutive Officer, Promoter
- Florian DouetteauExecutive Officer, Director, Promoter
- Daniel BrennanExecutive Officer, Promoter
- Offering amount
- $275M
- Amount sold
- $204M
- First sale
- Nov 2022
- Incorporated
- Corporation, Delaware
- Federal exemptions
- 06b
▶$188MraisedAug 2021 · 22 investors · OtherRule 506(b)
- Clement StenacDirector, Promoter
- Florian DouetteauExecutive Officer, Director, Promoter
- Neeraj AgrawalDirector
- Daniel SunExecutive Officer, Promoter
- Marc BattyDirector, Promoter
- Matt TurckDirector
- Ed BushExecutive Officer, Promoter
- Offering amount
- $200M
- Amount sold
- $188M
- First sale
- Jul 2021
- Incorporated
- Corporation, Delaware
- Federal exemptions
- 06b
▶$100MraisedSep 2020 · 16 investors · OtherRule 506(b)
- Marc BattyDirector
- Clement StenacDirector
- Matt TurckDirector
- Neeraj AgrawalDirector
- Daniel SunExecutive Officer, Promoter
- Florian DouetteauExecutive Officer, Director, Promoter
- Offering amount
- $100M
- Amount sold
- $100M
- First sale
- Aug 2020
- Incorporated
- Corporation, Delaware
- Federal exemptions
- 06b
Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.
Valuation · disclosed
Disclosed eventsSource: SEC prospectus filings, and round valuations the company or its investors disclosed — follow each entry's link for the claim.
Company profile
researched Aug 2026Dataiku is a French-American software company that provides an enterprise platform for the full lifecycle of analytics and AI projects, spanning data preparation, model development, deployment, monitoring and governance. The company positions the product as an orchestration layer that sits above data platforms, cloud infrastructure and AI services, allowing organizations to run AI across multi-vendor environments with centralized oversight. Its stated formula combines three elements: shared workflows for business and technical teams ("people"), connection of data, ML, LLMs and agents as one system across any infrastructure ("orchestration"), and visibility into compliance, cost and risk ("governance").
The platform includes visual and code-based tooling so that both technical and non-technical users can work on the same projects. Capabilities described by the company include 40+ data connectors, 100+ visual data transformers, AutoML for prediction, clustering, forecasting, causal ML and computer vision, 30+ chart types with dashboards and workspaces, web app frameworks (Streamlit, Dash, Gradio, Voilà), batch and real-time scoring, a Deployer for managing project and model versions across dev/test/prod, and drift detection and model performance comparison. For generative AI, Dataiku offers the LLM Mesh, an API gateway layer between LLM providers and end-user applications, plus LLM Guard Services for cost oversight, PII handling, toxicity detection and forbidden-term controls, and retrieval-augmented generation and semantic search. Prepackaged "Dataiku Solutions" starter projects target common industry and horizontal use cases.
The original product, Dataiku Data Science Studio (DSS), was announced in 2014 and supported predictive modeling for business applications, with an emphasis on accessibility for users unfamiliar with programming languages such as Python. In June 2021 the company released Dataiku Online, a fully managed version aimed at smaller companies such as high-growth startups. In 2026 Dataiku introduced Kiji Inspector, an open-source framework integrated with NVIDIA Nemotron intended to increase transparency of enterprise AI agents in regulated settings such as fintech and energy.
Founding story
Dataiku was founded on February 14, 2013 in Paris, France by Florian Douetteau, Clément Stenac, Thomas Cabrol and Marc Batty, around the premise of democratizing data science rather than restricting it to a small group of specialists. The company established a US presence in New York City in 2015.
Business model
Dataiku licenses enterprise software deployed on customers' infrastructure of choice, including on-premises, hybrid and a fully managed SaaS cloud offering (Dataiku Cloud). A 14-day free managed cloud trial (limited to a space with 2 users, 1 API service, 4 CPUs and 32 GiB of elastic compute, and excluding Govern and advanced LLM Mesh) and a downloadable Free Edition for Mac, Linux and Windows serve as entry points, with sales engagement for on-premises or hybrid deployments. The company reports $350M in ARR across 750+ customers.
Recurring software subscription revenue from enterprise customers; the company reports $350M in ARR. Forbes reported $150 million in revenue for 2021.
Traction
The company reports $350M in ARR, 750+ customers worldwide, and 1,200+ employees (elsewhere stated as over 1,250 people across 13 offices and remote locations). Named customers and case studies include Novartis, Johnson & Johnson (650+ employees using Dataiku in the Vision team), Standard Chartered Bank, Toyota, Michelin (50+ manufacturing sites), SLB, Roche, SoftBank, OHRA, Mitsubishi Electric and Aviva. At the time of its 2018 Series C the company had over 200 customers and about 200 employees, with customers including General Electric, Sephora, Unilever, KUKA, FOX and BNP Paribas.
Latest developments
Dataiku states it was named a Leader in the 2026 Gartner Magic Quadrant for AI Platforms for Data Science and ML for the fifth consecutive year. In 2026 it introduced Kiji Inspector, an open-source framework integrated with NVIDIA Nemotron for AI agent transparency in regulated industries, and published a Harris Poll-based Global AI Confessions CEO report covering 900 CEOs across eight markets (the company site cites 80% of CEOs saying their role is at risk absent measurable AI gains by end of 2026; Wikipedia cites 78%, up from 74% in a comparable 2025 poll). Current product messaging centers on agentic AI, unified governance, modernized analytics and enterprise-scale ML. The company also promotes Dataiku Cobuild.
▸Full profile — market position, technology, go-to-market, geography, history, risks & controversies
Market position
Dataiku describes itself as trusted by 1 in 4 of the world's top companies (based on the top 500 of the 2024 Forbes Global 2000 list, excluding China) and states it has been named a Leader in the Gartner Magic Quadrant for AI Platforms for Data Science and ML for five consecutive years, including 2026, recognized on both Completeness of Vision and Ability to Execute. Wikipedia reports a $4.6 billion valuation as of 2021, following unicorn status reached via a December 2019 secondary round at $1.4 billion; a December 2022 Series F was reported by TechCrunch as occurring at a reduced valuation.
Dataiku emphasizes a single end-to-end environment covering data preparation through deployment and monitoring; support for both no/low-code and full-code users on the same projects; a modular architecture that connects to existing infrastructure and lets customers switch underlying technologies; a governance framework applied across AI built inside and outside the platform; and the LLM Mesh abstraction layer that lets customers select among LLM providers while applying cost and safety controls.
Technology
A modular platform layered on top of existing storage and compute (Snowflake, Databricks, AWS, Azure, GCP), using a pushdown architecture to execute large workloads on GPUs and elastic scalable compute systems. It combines no-code, low-code and full-code interfaces, 40+ data connectors, 100+ visual transformers, AutoML, MLOps tooling (Deployer, monitoring dashboards, drift analysis), dashboards and custom web apps, and generative AI components including the LLM Mesh gateway, LLM Guard Services, RAG and semantic search. Kiji Inspector, released in 2026, is an open-source agent-transparency framework integrated with NVIDIA Nemotron.
Go-to-market
Direct enterprise sales (demo requests and a sales team for on-premises/hybrid deployments) complemented by self-service acquisition via a 14-day free cloud trial and a free downloadable edition. The company supports adoption through the Dataiku Academy (more than 90,000 online learners), a peer-to-peer Dataiku Community, documentation and developer guides, plus a technology partner network and EGG conferences, and publishes customer stories and commissioned research such as the Harris Poll CEO survey.
Large enterprises, including highly regulated organizations, across financial services, life sciences, manufacturing, retail and CPG, utilities and energy, and the public sector. Users span data scientists, data engineers, data analysts, business analysts and domain experts. Dataiku Online was launched to reach smaller companies such as high-growth startups.
Geography
Headquartered in New York City, with the company founded in Paris. The 2018 Series C announcement cited offices in New York, Paris and London plus planned offices in Sydney and Singapore. Wikipedia reports offices as of 2022 in New York, Denver, Washington DC, Los Angeles, Paris, London, Munich, Frankfurt, Sydney, Singapore, Tokyo and Dubai. The company currently states over 1,250 people across 13 offices and remote locations worldwide.
History
Founded in Paris in 2013, Dataiku announced its Data Science Studio product in 2014 and opened in New York in 2015. It raised $3.6M in January 2015 (Serena Capital, Alven Capital), $14M in October 2016 (FirstMark Capital), a $28M Series B in September 2017 (Battery Ventures), and a $101M Series C in December 2018 led by ICONIQ Capital. In December 2019, one day after releasing Dataiku 6, CapitalG bought shares previously held by Serena Capital in a secondary round valuing the company at $1.4 billion. A $100M Series D followed in August 2020 (Stripes and Tiger Global Management), a $400M Series E in August 2021 (Tiger Global) at a $4.6 billion valuation, and a $200M Series F in December 2022 led by Wellington Management, reported by TechCrunch at a reduced valuation. Products have evolved from data science and ML tooling to generative AI (LLM Mesh) and, most recently, AI agents and governance.
Risks & controversies
TechCrunch reported that the December 2022 $200M Series F was raised at a reduced valuation relative to the prior round. The Wikipedia article carries a notability maintenance tag questioning whether independent secondary coverage is sufficient. Reported figures differ across sources (e.g., 1,200+ versus over 1,250 employees on the company's own about page; 80% versus 78% in the CEO survey coverage).
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Founder mafia
3 people who came through Dataiku went on to found or lead other companies.
Competitors · 4
by search overlapCompanies competing with Dataiku for the same Google search keywords, organic and paid, via search-intersection analysis.
Timeline · 17
launches, deals, and filingsFifth consecutive year as a Leader, recognized for Completeness of Vision and Ability to Execute.
Dataiku/Harris Poll survey of 900 CEOs across eight global markets on AI return expectations and job risk.
Open-source framework integrated with NVIDIA Nemotron to improve transparency of enterprise AI agents in regulated industries such as fintech and energy.
TechCrunch reported the round was raised at a reduced valuation.
$200M source ↗
Forbes reported the CFO hire and that executives discussed an IPO roadmap.
$400M source ↗
$100M source ↗
Announced one day after the release of Dataiku 6; CapitalG purchased shares previously owned by Serena Capital, giving Dataiku unicorn status.
Series C round supported by Alven Capital, Battery Ventures, Dawn Capital and FirstMark Capital; proceeds earmarked to double a 200-person staff, add offices in Sydney and Singapore, and expand product and partner network.
$101M source ↗
$28M source ↗
$14M source ↗
$3.6M source ↗
DSS supports predictive modelling to build business applications.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
Legal entities · 1
corporate structureIn the news
Dataiku gets $400M at a $4.6B valuation, led by Tiger Globaltechcrunch.com · Aug 2021▸Research sources · 8
primary sources listed
- Dataikudataiku.com · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Dataiku do?
- Dataiku sells an enterprise platform for building, deploying and governing analytics, machine learning, LLMs and AI agents.
- Who founded Dataiku?
- Dataiku was founded by Marc Batty, Florian Douetteau, Thomas Cabrol, Clément Stenac.
- Who are Dataiku's investors?
- Dataiku's investors include Battery Ventures, FirstMark Capital, Aglae Ventures, CapitalG, Dawn Capital, ICONIQ, Serena, Stripes and 7 more.
- How much funding has Dataiku raised?
- Dataiku has disclosed $492M raised across 3 of its 9 known rounds.
- Where is Dataiku headquartered?
- Dataiku is headquartered in New York, US.











