Cloudera acquires Taikun to deliver the cloud experience to data anywhere for AI everywhere.

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OVERVIEW

Low-code to full-code studios for GenAI innovation

Cloudera AI Studios simplify the development of GenAI applications and agents, giving enterprises an easier, faster path to production while maintaining security, governance, and scalability.

Cloudera AI Studios product screenshot

Synthetic Data Generation, Retrieval Augmented Generation (RAG), Fine Tuning, and Agent studios streamline and accelerate the GenAI lifecycle.


Users can transition from low-code UIs to high-code environments, empowering users of varying technical levels to build, customize, and deploy.


Built-in enterprise security, governance, and observability ensure your GenAI and agentic applications run reliably and safely at scale.

USE CASES

Unlock rapid business impact with GenAI and agentic use cases.

  • PII-safe synthetic data

    Synthetic data generation preserving compliance and statistical realism.

  • Enterprise RAG chatbots

    Secure, context-rich chatbots leveraging enterprise documents and real-time ingestion.

  • Domain-specific large language models (LLMs)

    Industry-specific fine-tuning workflows for maximum accuracy and relevance.

  • Multi-agent automation

    Coordinated AI agents handling complex workflows and multi-step automations seamlessly.

  • PII-safe synthetic data

    Synthetic data generation preserving compliance and statistical realism.

  • Enterprise RAG chatbots

    Secure, context-rich chatbots leveraging enterprise documents and real-time ingestion.

  • Domain-specific large language models (LLMs)

    Industry-specific fine-tuning workflows for maximum accuracy and relevance.

  • Multi-agent automation

    Coordinated AI agents handling complex workflows and multi-step automations seamlessly.

Protect sensitive information and expand AI capabilities with realistic, regulation-ready data.

Synthetic Data Studio generates high-fidelity, privacy-safe datasets, supporting GDPR and CCPA requirements for model development and validation.

Rag Studio product thumbnail

Empower employees with instant, accurate, and up-to-date answers from your own documents.

Quickly deploy RAG-based chatbots that leverage enterprise data, ensure compliance, and keep sensitive information protected within your environment.

Fine Tuning Studio product thumbnail

Achieve higher accuracy and trust with models fine-tuned on your data.

Fine Tuning Studio enables seamless data import, model selection, tuning, and evaluation.

Increase efficiency and agility with agentic AI coordinating multi-step tasks across systems.

Agent Studio lets you design, monitor, and optimize agent-driven workflows, integrating enterprise data and external tools for end-to-end automation.

Analyst Report

Unlock the future of enterprise workflows with agentic AI

Thumbnail image of Gartner Magic Quadrant for Data Science and Machine Learning Platforms
FEATURES

Explore Cloudera AI Studios

Cloudera AI Studios, integrated with AI Workbench and AI Inference, provide an end-to-end system that streamlines and accelerates every stage of the generative AI lifecycle.

 


Synthetic Data Studio

Generate enterprise-grade synthetic datasets at scale that solve compliance and data scarcity challenges.

High-quality data

Generate high-quality synthetic data to safely perform training, fine-tuning, reinforcement learning, or post-training alignment on language models, preserving statistical fidelity of the real data without exposing sensitive information.

Enhanced GenAI workflows

Curate synthetic data using private data for evaluating the quality or security of the responses from your AI agents or RAG systems.

Built-in compliance

Get peace of mind from built-in compliance controls that support GDPR (EU) and CCPA (US) privacy regulations.

Platform integration

Export synthetic datasets directly into Cloudera AI environments and data lake.

Cloudera AI Studios Fine Tuning Studio screenshot

Fine Tuning Studio

Customize and optimize LLMs, no heavy lifting required.

Complete workspace

Collaborate in a unified workspace and import datasets, select base models, launch fine-tuning jobs, evaluate performance, and export models seamlessly.

MLflow integration

Track experiments and automate model registry workflows with direct MLflow integration.

Development flexibility

Switch effortlessly between no-code visual interfaces and full-code Python software development kits (SDKs) for ultimate balance of speed, flexibility, and control.

Domain data multiplier

Build domain-specific applications requiring tailored accuracy (healthcare, finance, legal).

Cloudera AI Studios Fine Tuning Studio screenshot

RAG Studio

Deliver contextually aware AI by seamlessly connecting foundation models with organizational knowledge.

Broad model support

Deploy chatbots powered by your model of choice served with Cloudera AI Inference service for scale and performance.

Real-time RAG

Build knowledge bases to enable RAG and get context-aware answers powered by your fresh data.

Trusted replies

Go beyond basic RAG with no code: Use built-in hybrid reranking, LLM-as-judge, chatbot monitoring, and other state-of-the-art tools to trust every reply from your enterprise chat.

Enterprise-ready

Configure and share conversational AI fast—ideal for internal enterprise knowledge assistants, secure chatbots, and document search applications—with enterprise-grade security and scale.

Cloudera AI Studios RAG Studio product screenshot

Agent Studio

Design and deploy multi-agent AI workflows that automate your enterprise.

Agent development

Create intelligent, agentic applications using a wizard-driven, low-code UI or fully customizable Python SDK.

Platform integration

Integrate with Cloudera Data Services—Cloudera Data Flow, Cloudera Data Warehouse, Cloudera Data Visualization, and more—as callable agents and tools.

Advanced observability

Achieve observability through graphical traces, real-time debugging, and OpenTelemetry integration.

Secure and private

Execute securely and privately within your existing Cloudera platform deployment—no external exposure or data egress.

Cloudera Agent Studio workflow screenshot

Customers


NONPROFIT

“Our partnership with Cloudera has enabled us to deploy an AI solution with unprecedented precision and speed, enabling us to meet our organizational commitments to delivering life-saving aid using innovative, evidence-based methods.”

—Alicia Morrison, Director of Data Science, Mercy Corps

Alicia Morrison, Director of Data Science, Mercy Corps

Ready to take a deeper look?

Experience Cloudera AI for yourself

Get engaged 

Analyst Report

Unlock the future of enterprise workflows with agentic AI

Webinar

AI solution patterns: Accelerating global humanitarian aid for Mercy Corps

Webinar

5-part series: A visionary future with enterprise GenAI

Take the next step

Explore the powerful capabilities of Cloudera AI Studios, including technical specifications, architecture, and how-tos.

Cloudera AI Studios tour

Take a step by step product tour.

Learn how to create, test, and deploy an agentic workflow using Cloudera Agent Studio.

Start your product tour

Cloudera AI Studios documentation

Documentation library

Access detailed product information about the key components of AI Studios.

Go to documentation

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Cloudera AI


Accelerate data-driven decision making from research to production with a secure, scalable, and open platform for enterprise AI.

Cloudera AI Inference


Accelerate model serving to deploy and scale private AI applications, agents, and assistants with unmatched speed, security, and efficiency.

Cloudera Accelerators for ML Projects


Explore AMPs, the end-to-end framework for building, deploying, and monitoring business-ready ML applications instantly.

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