Enterprise machine learning platform for AI by Dataiku
From a guided approach with autoML to cutting-edge techniques and full code, use Dataiku to build and evaluate machine learning (ML) models faster — all with the highest standards of explainability.
Build models your way
From no-code autoML to custom Python and deep learning, every skill level is covered.
Understand and trust every model
Interactive explainability reports, fairness analysis, and what-if testing make model evaluation accessible to all.
Ship models to production
Build, deploy, monitor, and retrain models at scale with built-in MLOps tools.
Go faster with autoML and visual ML
Dataiku combines the simplicity of autoML for fast prototyping with more advanced visual ML capabilities for creating sophisticated models — fast. From prediction, clustering, and time series forecasting to causal ML and computer vision, data scientists and analysts alike can build and compare production-ready models quickly and with white-box explainability.
Build and deploy custom machine learning models in code
Advanced data scientists can programmatically develop custom models (using Python, R, and other languages) or import models developed with MLFlow. To ensure external models are visible and interpretable to the rest of the team, Dataiku captures the details of MLFlow experiments or CloudML models and automatically provides model comparisons and explainability reports.
Apply advanced deep learning techniques
Dataiku’s familiar model design, deployment, and governance experience makes it easy to include deep learning as part of data projects and business applications. Define custom deep learning architectures with Keras and Tensorflow, or take advantage of pretrained models, transfer learning, and no-code interfaces for computer vision tasks such as image classification and object detection.
Deploy and scale machine learning models in production
With Dataiku, you have all the tools to not only build trusted, high-quality ML models, but deploy, monitor, and manage them as well. From model comparison to drift detection, model retraining, and so much more, Dataiku allows you to truly deploy ML at scale.
Evaluate machine learning models with ease
Both technical and business users can better understand the outcomes of ML models thanks to robust explainability features in Dataiku. An extensive battery of interactive performance and interpretation reports includes fairness analysis, what-if analysis, stress tests, and more.
Extend your machine learning platform across the AI lifecycle
For large computation or model training jobs, Dataiku allows you to automatically and efficiently scale workloads with on-demand, elastic resources powered by Spark and Kubernetes on your cloud of choice. Pre-configured and fully managed clusters abstract away the complexity of containerized infrastructure, so you spend more time doing what you love and less time setting up backend resources.
See other machine learning features
MLOps
Deploy, monitor, and maintain models in production with automated workflows and unified oversight.
The Dataiku LLM Mesh
Connect to any LLM provider or self-hosted model, with centralized visibility and control across every connection.
Dataiku Agent Hub
Build, deploy, and manage AI agents grounded in your enterprise data, with governance built in from the start.
Loved by customers and recognized by analysts
“The platform is intuitive, collaborative, and streamlines workflows from data prep to model deployment. Dataiku has truly transformed how we handle data!”
Data scientist
Retail