AI Observability

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Industry Leaders’ Choice for AI Observability

Standardize LLM and MLOps Practices

AI Observability is the foundation of predictive models, generative AI models, and AI applications. Improve models and applications with actionable insights and understand why predictions are made. AI Observability is reliant not only on metrics, but also on how well issues can be explained when something eventually goes wrong.

When predictive models, generative AI models, and AI applications inevitably degrade in performance, AI Observability rights the ship.

The Full Stack AI Observability Platform

A diagram of Fiddler's full stack AI Observability platform for generative AI and predictive models.
“As a data scientist, I don’t have to make compromises of having monitoring-only or explainability-only capabilities. Fiddler gives me both so I can confidently deliver ML solutions for mission-critical projects at scale.”
Richard Sieg
Lead Data Scientist, how.fm
Deliver high performance AI

Ensure high performance and quality with model monitoring and LLMOps

Reduce costs and increase ROI

Align outcomes to business KPIs with analytics

Be responsible with governance

De-risk with explainable AI, fairness, privacy, and safety

Your Partner in Building Responsible and Secure AI

Learn more about Fiddler AI
Out of the box

Interactive explainable AI with unparalleled breadth, depth, and flexibility. Regulation-friendly with consistent, on-demand results.

Purpose-built

Enterprise scale, security, and support without the hassles of homegrown systems and OSS components.

Complete model lifecycle

Monitor, explain, analyze, and improve performance in training and production. Gain complete context visibility, and root cause analysis into model, LLM, and generative AI application behaviors.

Building for the future

Grow into advanced XAI and analytics capabilities over time with Fiddler and build a framework for responsible AI practices.

3rd party evaluations

Expertise in assessing 3rd party AI tools and systems for fairness, predictability and performance.

Team alignment

MLOps, data science, software engineers, and line-of-business groups seamlessly work together on actionable insights and tasks across the platform.

User-friendly environment

Low-code analysis, collaboration, and human readable explainability with a simple SQL interface and dashboards.

White glove support 

24/7 global support and white glove customer service and data science experts who care deeply about your AI outcomes.

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