# Dataiku An enterprise platform for teams building and governing analytics, ML models, and AI agents. - Findings24: - Site: - Preços: Freemium - Categorias: Criador de agentes de IA, Implantação de modelos de IA, Analytics & BI ## O que é Dataiku? Dataiku is an enterprise AI platform that brings data preparation, analytics, machine learning, and AI agents into a shared, governed environment. Business experts, analysts, data scientists, and engineers can work with visual tools or code to move from raw data to production workflows. The platform combines development, orchestration, and oversight: teams can connect enterprise data, build models and agents, deploy them into business processes, and monitor their operation. Policies, approvals, lineage, and risk controls support collaboration within guardrails set by IT. ## O que Dataiku pode fazer? ### Visual and code-based data preparation Join, clean, and transform data with visual recipes or Python, R, and SQL. The Flow documents and versions transformations, with lineage, validation checks, and dataset certification. ### Machine learning development and deployment Build, validate, and compare models using visual ML, AutoML, or code. Package models for APIs, batch scoring, and production pipelines, with deployment automation and performance monitoring. ### Agent building and orchestration Combine prompts, tools, APIs, and models into multi-step agents using visual logic or code frameworks. Agent Hub centralizes creation, collaboration, lifecycle management, and task routing. ### LLM Mesh Switch LLM providers through a shared layer with centralized routing, quotas, monitoring, and safety controls to manage usage, cost, and risk. ### AI governance and agent management Maintain inventories and approval workflows for AI assets. Track model drift, bias, LLM usage, and agent cost, performance, and risk, including agents operating across other platforms. ### Cobuild natural-language interface Use Dataiku's built-in agentic interface to explore data, build governed AI, and oversee agents through natural-language interaction across the platform. ## Casos de uso ### Standardize enterprise analytics Analytics teams can prepare data on existing platforms and incorporate quality checks and documentation into repeatable pipelines for trusted business analysis. ### Put predictive models into production Data science and engineering teams can turn experiments into scheduled scoring workflows or APIs, with model registries and approval processes supporting ongoing operations. ### Coordinate AI-assisted business processes Process owners can combine agents, models, business rules, and human review into workflows that carry out a business process end to end. ### Oversee an enterprise agent portfolio IT and governance teams can assess agents built across multiple platforms, track their value and risk, and manage their lifecycle from a central location. ## Perguntas frequentes ### Does Dataiku require coding? Dataiku supports both visual and code-based workflows. Analysts can use visual preparation and ML tools, while developers can use Python, R, SQL, and full-code agent frameworks. ### Which data and computing platforms can it work with? The product page lists Snowflake, Databricks, Redshift, S3, APIs, and enterprise systems as connection options. It also supports compute using SQL, Spark, Kubernetes, and GPUs. ### Can Dataiku manage agents built elsewhere? Yes. Dataiku describes third-party agent orchestration across Snowflake Cortex, Databricks, Vertex AI, Bedrock, and other platforms, alongside centralized agent monitoring and lifecycle management. ### How can teams evaluate Dataiku? The website offers a trial signup and a demo request. ## Informações rápidas - **Product category**: Enterprise AI platform - **Primary users**: Business experts, analysts, data scientists, engineers, and IT teams - **Development options**: Visual workflows, AutoML, and code - **Production outputs**: APIs, batch scoring, analytics pipelines, and agent workflows - **Website**: https://dataiku.com