Fiddler

Monitor and explain AI models in production.

Fiddler is an AI observability platform focused on monitoring, explaining, and improving the behavior of machine learning models and LLM applications after they are deployed. It helps teams detect performance degradation, data drift, and model fairness issues in production, and provides explainability tools that let teams understand why a model is producing a given output. Fiddler serves mid-market and enterprise customers, including organizations in regulated industries where model explainability and bias monitoring carry compliance implications. Compared to general application monitoring tools, Fiddler is specifically designed for the ML and AI layer, offering model-aware diagnostics that surface issues generic observability platforms would miss.

Compliance

GDPR ISO 27001 SOC 2

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Key Features

Model performance monitoring: Tracks key performance metrics for deployed models over time, alerting teams when accuracy, precision, or other quality metrics decline.
Data and concept drift detection: Identifies when the distribution of inputs to a model shifts away from training data patterns, a leading indicator of degrading model reliability.
Explainability tooling: Provides feature-importance and other explainability methods that help teams and stakeholders understand why a model made a particular prediction or decision.
LLM monitoring: Extends traditional ML monitoring to LLM applications, tracking prompt and output quality, latency, and safety metrics for generative AI systems in production.
Fairness and bias monitoring: Monitors model outputs across demographic segments to detect disparate impact, supporting compliance requirements in regulated industries.

Use Cases

For financial services teams monitoring credit or risk models: A bank deploying a model for credit decisions uses Fiddler to continuously monitor for bias and drift, and to generate explanations required by regulators for adverse action notices.
For enterprise AI teams managing LLM applications in production: An enterprise team that has deployed an internal LLM-powered application uses Fiddler to monitor output quality over time and catch regressions when the underlying model or prompt changes.

Pricing MODELS

Saas subscription

Pricing Summary

Fiddler uses a SaaS subscription model with custom enterprise pricing. No self-serve tiers or publicly listed prices are available — buyers engage with the sales team for a quote.