THE HITLIST
THE UNICORN HERD · $1B – $9.9B
NEW YORK, UNITED STATESFOUNDED 2013

Dataiku

$4.6Bpaper valuation

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// OVERVIEW

Dataiku is the enterprise AI platform that convinced Fortune 500 companies they needed a visual interface to deploy models their data scientists already built in Python — and charged them $100,000 per seat for the privilege. The company raised $400 million at a $4.6 billion valuation in 2021 by selling the promise that business analysts could build production ML pipelines without writing code, a claim that survives until the first model hits production and the Python engineers get called in anyway. Three years later the company operates in the awkward gap between Databricks' infrastructure dominance and the wave of AI-native tools that make low-code feel like a transitional technology.

// HQ

New York, United States

// STATUS

PRIVATE

// FOUNDED

2013

// TIER

The Unicorn Herd · $1B – $9.9B

// PRIMARY SECTOR

ai

// FOUNDERS

Florian DouetteauClément StenacMarc BattyThomas Cabrol

// FUNDING ROUNDS

// SECTORS SERVED

// TECHNOLOGY

Dataiku's core product is a collaborative data science platform that provides visual workflows for data preparation, model training, and deployment — essentially Tableau for machine learning with connectors to every enterprise data source and the ability to orchestrate models across cloud and on-premise infrastructure. The platform supports Python, R, SQL, and Spark underneath the visual interface, which means skilled practitioners bypass the GUI entirely while business users hit the limits of what drag-and-drop can actually accomplish. The real technical value is workflow automation and governance for regulated industries where model lineage and audit trails matter more than cutting-edge capabilities.

// WOWLS ASSESSMENT

// THREAT LEVELBLOATED
valuation exceeds operational reality, correction inevitable

Dataiku raised $400 million from Tiger Global and Iconiq at a $4.6 billion valuation in September 2021 — a 40x multiple on roughly $115 million in ARR — during the peak enterprise software bubble when any company with Fortune 500 logos and double-digit growth could command absurd multiples. The customer list is impressive — Unilever, AXA, GE — but the fundamental problem is that the low-code AI category Dataiku pioneered is being squeezed from both sides: Databricks and Snowflake added visual ML tools to their data platforms while OpenAI and Anthropic are making custom model development accessible through natural language prompts that do not require Dataiku's visual abstraction layer. The company's 2021 pitch — that enterprises needed a unified platform to democratize AI — now competes with the 2024 reality that foundation models eliminated most of the custom ML work Dataiku was built to simplify. Revenue growth has not been disclosed since the Series F, which in enterprise SaaS typically means growth decelerated and the company is waiting for a valuation reset before raising again.

// WHY WOWLS HUNTS THIS

The company's $4.6 billion valuation assumed enterprises would pay six figures per year for visual ML tools before foundation models made most custom modeling obsolete. That assumption died in November 2022 when ChatGPT launched and every Fortune 500 CISO started asking why they were paying Dataiku $100,000 per seat when Claude could write the Python for free.

// VALUATION NOTE

Series F valuation from September 2021. No subsequent funding rounds disclosed. Revenue figures are estimates based on reported $115M ARR at time of Series F.

VERDICT: BLOATED — Dataiku raised $400 million at $4.6 billion in 2021 selling low-code ML workflows to Fortune 500 companies, then watched OpenAI make custom model development accessible through English prompts instead of visual drag-and-drop interfaces

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// LOADING INTEL…

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// SIMILAR TARGETS

// INTEL UPDATED: MAY 2026

// INTELLIGENCE DISCLAIMER: Assessments represent editorial opinion based on publicly available data including filings, press reports, and market data as of the date shown. Valuations are approximate. Not financial or investment advice.

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