LLMOps With Dataiku

Manage large language models (LLMs) efficiently, ensure compliance, optimize costs, and leverage generative AI safely across multiple business applications — all with Dataiku.

Get Unparalleled Flexibility via the LLM Mesh

The Dataiku LLM Mesh makes it easy to connect with different LLMs, whether from providers like OpenAI, Anthropic, and AWS Bedrock or from self-hosted models on Hugging Face. Teams can mix and match models to fit their needs, choosing the right one for each task — all with the right level of governance and control.

With this setup, users can quickly test and swap LLMs without breaking workflows. Whether experimenting before launch or updating models already in production, Dataiku makes it simple to adjust and optimize results on the go.

Learn More About the Dataiku LLM Mesh

LLM Evaluation & Monitoring with dataiku

Address Quality Through LLM Evaluation & Monitoring

With Dataiku, evaluate and automate for robust LLMOps practices, triggering alerts if models aren’t meeting standards.

Track how well LLMs perform by comparing them to other model results or ground truth. Statistical or LLM-as-a-judge metrics give a full view of model performance, ensuring each LLM works as expected across different use cases.

In addition, with human-in-the-loop labeling, teams can step in to review results when needed. Users can also manually tag LLM outputs with text labels or free-text annotation, making sure the results align with business needs.

Improve, Monitor, Iterate — All in One Place

In LLMOps, solving issues often means going upstream to refine parts of the pipeline. Dataiku is the only platform that provides enterprise-grade GenAI builder tools and all of the tools for monitoring GenAI applications in production — all in one platform.

If performance problems arise, users can quickly jump into Prompt Studios, experiment with new prompts, and push updates directly into their flow.

For more targeted improvements, teams can fine-tune models without writing code or create custom knowledge banks using internal documents and datasets. These features ensure LLMs deliver precise, context-aware responses that align with business needs and drive better outcomes.

Explore How Dataiku Helps Customize GenAI Workflows

Boosting Case Law Analysis With Generative AI

Roche harnesses Generative AI and the Dataiku LLM Mesh to automate case law analysis, boosting efficiency and reducing resource costs.

READ ROCHE'S STORY

Streamlining Analytics & AI Across the Organization

For Novartis, the LLM Dataiku Mesh abstracted intricate model configurations — like model parameters and prompt formats — into holistic, user-friendly UI options, thereby streamlining the experimentation process with various models across multiple service providers.

READ NOVARTIS' STORY

Using LLMs to Hear What Customers Are Saying

U.S.-based regional fast food chain Whataburger — with over 1,000 restaurants across 15 states — has a high-visibility dashboard that analyzes thousands of online and internal customer reviews. See how they used LLMs in Dataiku to extract key information from the reviews and build the dashboard.

READ WHATABURGER'S STORY

Transforming Data Discovery With LLMs

"Implementing our LLM-powered chatbot as a one-stop data discovery solution addresses core challenges such as fragmented information, lack of guidance, mistrust in data quality, and time-consuming processes." — Nirali Dedaniya, Data Engineer at Akamai Technologies

READ AKAMAI'S STORY

Creating Generative AI-Powered Services to Enhance Productivity

LG Chem noticed that their employees were spending a lot of time searching for safety regulations and guidelines so, with the help of Generative AI and Dataiku, they provided an AI service that helps them find that information quickly and accurately.

READ LG CHEM'S STORY

Monitoring Market Dynamics With LLM-Driven News Digest

Ørsted uses Generative AI to ensure its executive management has a more aligned understanding of market dynamics, for a 100% time savings over a manual approach.

READ ØRSTED'S STORY

Improving the Sales Lead Pipeline With LLMs

Each of Heraeus’s 20 operating companies has its own lead identification and qualification process. Heraeus uses LLMs in Dataiku to support these processes, ultimately saving time and increasing sales conversion.

READ HERAEUS'S STORY

Boosting Case Law Analysis With Generative AI

Roche harnesses Generative AI and the Dataiku LLM Mesh to automate case law analysis, boosting efficiency and reducing resource costs.

READ ROCHE'S STORY

Aligning Business & Data Science for Faster Campaign Wins

The Dataiku LLM Mesh allowed System1 to seamlessly integrated large language models (LLMs) into their workflows, providing business users with end-to-end visibility into the data transformation process — from raw data inputs to the prompts used and, ultimately, to the final AI-generated outputs.

Monitoring Market Dynamics With LLM-Driven News Digest

Ørsted uses Generative AI to ensure its executive management has a more aligned understanding of market dynamics, for a 100% time savings over a manual approach.

READ ØRSTED'S STORY

Improving the Sales Lead Pipeline With LLMs

READ HERAEUS'S STORY

dataiku generative ai applications screen

Deploy GenAI Applications for the Entire Business

Develop and share GenAI-powered web applications with end users using a scalable, enterprise-ready framework. Dataiku Answers is a packaged, scalable web application democratizing LLM-powered conversational use-cases fueled by retrieval-augmented generation (RAG), trusted datasets, or documents brought by specific users.

For those looking to build more customized applications, Dataiku also supports popular frameworks like Streamlit, Dash, R Shiny, and others. Whether you use built-in tools or custom code, Dataiku ensures your GenAI applications are easy to develop, deploy, and make accessible to the people who need them most.

Discover How Dataiku Answers Lets You Talk to Your Data in No Time

Govern All Things GenAI

Dataiku Govern ensures LLMOps practices align with AI governance standards with gates and sign-offs, making sure that each step in the LLM lifecycle — from experimentation to production — meets compliance requirements.

A full audit log captures which LLMs are used and how end users interact with them, providing transparency and control over GenAI operations. An LLM Registry allows to qualify LLM suitability and enforce usage guardrails; confidently manage documentation, track costs, monitor performance, and identify suitable use cases for each LLM in one place.

More About AI Governance With Dataiku

Go Further With Dataiku LLMOps

Read the Generative AI Documentation

Learn How to Conduct an LLM Evaluation

Read the Documentation On Retrieval-Augmented Generation

Learn More About The Dataiku Prompt Studio

Read the Documentation On Fine-Tuning Models

Learn More About Dataiku Answers

Ready to chat?

Contact us to see how Dataiku, the Universal AI Platform, can help you monitor and manage LLMs across your organization