The Universal
AI Platform
Build, deploy, and manage data, analytics, and AI projects, realizing your Everyday AI vision.
Generative AI
Move beyond the lab and build real and safe Generative AI applications at enterprise scale with development tools, pre-built use cases, and AI-powered assistants in Dataiku.
Data Preparation
Connect to, cleanse, and prepare data at scale. Dataiku provides both visual and coding interfaces in a shared space.
Machine Learning
Accelerate model building with Dataiku AutoML and a guided framework, or go custom with code.
Extensibility
Expand Dataiku’s native capabilities with plugins and custom applications for even more impact.
Collaboration
With Dataiku, teams can move beyond the lab and build real and safe Generative AI applications at enterprise scale.
Tailored Offerings for Every Team
Dataiku for AI & Machine Learning
Amplify the impact and productivity of data science teams with Dataiku’s end-to-end platform for AI and ML, bringing robust tooling for model design, development, and delivery.
Dataiku for
Data Analytics
Modernize enterprise analytics and accelerate time to insights with visual, cloud-based tooling for data preparation, visualization, workflow automation, and more.
Dataiku for
Enterprise AI
Drive innovation by unifying all people (from business to tech) and all enterprise data work (from analytics to Generative AI) in one centralized, governed platform for Everyday AI.
The Total Economic Impact™️
Of Dataiku
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment.
net present value over three years.
Trusted by Global Enterprises
Dataiku Is a 3x Leader
The 2024 Gartner Magic Quadrant™ for Data Science & ML Platforms
Everyday AI Insights From Dataiku
Maximizing Enterprise Data Products Distribution
What’s the difference between traditional data outputs and data products? Jean-Guillaume Appert, senior director of product management at Dataiku, and Marko Stojsavljevic, business transformation expert at Dataiku, answered…
Nov 21, 2024