One platform for enterprise AI success

Dataiku brings analytics, models, and AI agents together in a single governed system — so enterprise AI runs with orchestration, visibility, and control from day one.

Accelerate AI success with Dataiku

People build. Orchestration connects. Governance protects. Together, they power enterprise AI success.

Enterprise agents built to reason and governed to scale

Design, deploy, and improve AI agents powered by enterprise data, analytics, and business logic, with decision governance built in, not bolted on.

Build structured, multi-step agents using visual logic blocks or full-code frameworks. Combine prompts, tools, APIs, and models into governed reasoning workflows.

Explore visual & code Agents

Centralize agent creation, collaboration, lifecycle management, and orchestration. Route tasks across agents, models, and tools in a shared control plane.

Explore Agent Hub

Abstract and switch LLM providers with centralized routing, quotas, monitoring, and safety controls to manage cost and risk at scale.

Explore LLM Mesh

More builders. Any infrastructure. Fully governed.

Unify visual ML, AutoML, and full-code development in one governed environment, so models move from experimentation to production without silos.

Enable analysts and data scientists to build, validate, and compare models using code-free and assisted workflows while preserving flexibility.

Explore Machine Learning

Move from experimentation to APIs, batch scoring, or production pipelines without handoffs. Package, deploy, and monitor models within one system.

Explore MLOps

Centralize model registries, approval workflows, lineage, performance monitoring, and regulatory documentation in one governed framework.

Explore Dataiku Govern

Modern analytics. No migration.

Standardize data preparation, accelerate workflows with AI assistance, and deliver trusted analytics, while working directly on your existing platforms.

Join, clean, and transform data using visual recipes or Python, R, and SQL, fully documented and versioned in the Flow.

Explore Data Prep for AI

Generate preparation steps, SQL queries, and Flow creation plans using natural language, with full transparency and governance.

Embed lineage tracking, validation checks, documentation, and dataset certification directly into analytics pipelines.

Run enterprise AI as one system

Orchestrate agents, analytics, models, data, and tools into a unified execution layer, so AI runs as part of the business, not beside it.

Connect to Snowflake, Databricks, Redshift, S3, APIs, and enterprise systems while leveraging SQL, Spark, Kubernetes, or GPUs.

Run agents, analytics workflows, and ML models in shared production pipelines with built-in automation and monitoring.

Manage agents across Snowflake Cortex, Databricks, Vertex AI, Bedrock, and more, in one governed system.

Unified governance across all AI

Define policies, approvals, lineage, monitoring, and risk controls across analytics, models, and agents — inside Dataiku and beyond it.

Maintain a unified registry of datasets, models, agents, and projects with ownership, status, and approval tracking.

Explore Dataiku govern

Trace how data, features, models, and agent decisions connect, with built-in documentation and model explainability tools.

Monitor model drift, bias, LLM usage, cost, and performance across the lifecycle with structured approval workflows.

Explore guard services

Results of the Dataiku platform

The Gartner® Magic Quadrant™: A Leader for the fourth year

Dataiku was recognized as a Leader for the fourth time in the 2025 Gartner® Magic Quadrant™ for data science & ML platforms.

Recognized as a Leader in IDC MarketScape

By integrating governance directly into AI workflows, Dataiku supports enterprise-scale AI through embedded controls across the AI lifecycle, model-agnostic architecture, and continuous oversight without operational drag.