# Dataiku

## Overview

GUI-based tool for non-technical teams to build ML and generative AI apps.

### Financials
- **Revenue:** $342.50M (2025)
- **Valuation:** $3.70B (2024)
- **Funding:** $846.80M (2024)
- **Growth Rate (y/y):** 20% (2024)

## CEO 
Florian Douetteau

## Website 
[dataiku.com](https://www.dataiku.com/)

## Milestones
- **Founding Year:** 2013

## Revenue
Dataiku hit $342.5M in annual recurring revenue (ARR) in September 2025, up from $300M at the end of 2024.

Dataiku had roughly 500 customers at the end of 2023 for an average ARR per customer of $500K.

### ARR Growth Rate
- **2022:** $200M
- **2023:** $230M

## Valuation & Funding
- **Current Valuation:** $3.7B (2022 Series F)
- **Total Raised:** $846.6M

### Funding History
| Date       | Event         | Valuation | Amount  | Status  |
|------------|---------------|-----------|---------|---------|
| Dec 2022   | Series F     | $3.7B     | $200M   | Closed  |
| Aug 2021   | Series E     | —         | —       | Closed  |
| Jan 2015   | Seed         | —         | —       | Closed  |

## Product
Dataiku offers an AI/ML-ready, managed data-science solution for enterprises, primarily through its platform called Data Science Studio (DSS).

- Provides a mix of visual interfaces and coding environments for Python and R.
- Aims to make AI accessible to non-technical users with a drag-and-drop interface.

### Product Updates
- **July 2025:** Dataiku 14 released with new third-party and custom Python agent tools, monitoring status alerts, and tailored onboarding.

## Business Model
Dataiku operates on a subscription-based Software as a Service (SaaS) model, allowing customers to pay annually for usage based on the number of users and compute resources.

- **Target Market:** Large enterprises in various industries (financial services, pharmaceuticals, etc.).
- Introduced Dataiku Online for smaller companies lacking IT resources.

## Competition
Dataiku competes with:**
- **DataRobot:** Focused on automated machine learning (AutoML).
- **Alteryx:** More analytics-driven but lacks some model monitoring capabilities.
- **Databricks:** Strong in data engineering, less so in overall data ML lifecycle.
- **Hyper-scaler Platforms:** AWS Sagemaker and Azure ML, which can introduce vendor lock-in.

## TAM Expansion
Dataiku is positioned for IPO candidacy and can further expand its total addressable market by:
- Engaging non-technical users to democratize AI/ML.
- Targeting mid-market and SMB segments through its cloud offering, Dataiku Online.

## Recent News
### July 10, 2026 - AI Risk Management
Dataiku focuses on AI systems flexibility to mitigate vendor lock-in, with an emphasis on the long-term impacts of AI decisions.

### June 25, 2026 - Partnership with Radware
Radware partners with Dataiku to enhance security for enterprise AI solutions.

### June 25, 2026 - AI Blueprint
Dataiku launches AI Blueprint for optimizing manufacturing maintenance scheduling to aid manufacturers in addressing challenges.