Enterprise AI Observability 

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Industry Leaders’ Choice for AI Observability

Metrics Driven LLM and MLOps

AI Observability is the foundation which gives enterprises the confidence to ship more high performing, revenue-generating or cost-cutting predictive models, generative AI models, and LLM applications into production. The Fiddler AI Observability platform helps monitor, analyze, and protect models through a variety of internal and external use cases.

Data science, engineering, and LOB teams can improve models and safeguard applications with actionable insights from hallucination, PII, toxicity, and custom metrics to improve specific KPIs like cost control, revenue impact, MTTI and MTTR. AI Observability is reliant on metrics and how well issues can be explained when something eventually goes wrong.

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

The Ultimate Guide to LLM Monitoring
Learn how enterprises should standardize and accelerate LLM application development, deployment, and management
Read our guide

The AI Observability Platform that Drives Business Value

A diagram of Fiddler's full stack AI Observability platform for generative AI and predictive models.

Your Partner in Building Responsible and Secure AI

“Fiddler has greatly reduced the energy barrier to gaining valuable insight on production data. Not only does this provide our team with peace of mind, but we’re equally excited to see how this ‘production-first’ mindset is already informing model improvements in our LTV use cases for more resilient predictions.”
Anthony Anderson
Head of Data Science, Conjura