See Fiddler in Action

Explore how Fiddler can help you understand every decision your first-party, third-party, and coding agents make, from code generation through production.
Scale and Improve AI Agent Evaluations with Dynamic Model Escalation in Fiddler Centor

AI Observability Overview

Get full visibility into every agent decision, from a unified dashboard down to individual steps.
Fiddler AI Control Plane for Coding Agents

Fiddler AI Control Plane for Coding Agents

See every session, tool call, and code change your coding agents make, in one place.

Visualize and Understand Your Agentic Applications in a Unified Dashboard

Visualize and Understand Your Agentic Applications in a Unified Dashboard

Track the health, quality, and cost of every agentic application in one view.

Root Cause Analysis at Every Step of Your AI Agent Workflow

Root Cause Analysis at Every Step of Your AI Agent Workflow

Trace an agent failure back to the exact prompt, tool call, or step that caused it.

Standardized Monitoring Across Data Types And Frameworks

Monitor any agent framework and data type with one consistent schema.
Fixing Broken AI Monitoring with Server-Side Semantic Mapping

Fixing Broken AI Monitoring with Server-Side Semantic Mapping

Map telemetry from any framework to a standard schema on the server, so agent monitoring and reporting stay consistent.

Fireside Chat: Semantic Mapping

Fireside Chat: Semantic Mapping

A deeper conversation on how semantic mapping standardizes AI monitoring across frameworks.

Evaluations

Measure agent quality continuously, with evaluators built for your domain.
Scale and Improve AI Agent Evaluations with Dynamic Model Escalation in Fiddler Centor

Scale and Improve AI Agent Evaluations with Dynamic Model Escalation

Evaluate agent conversations for safety, faithfulness, and PII with specialist models, escalating edge cases to general-purpose LLMs.

Monitor Domain-Specific AI with Custom Evaluators in Your Environment

Monitor Domain-Specific AI with Custom Evaluators in Your Environment

Build evaluators for your domain and run them inside your own environment.

Building Reliable AI Agents with a Continuous Evaluation Loop

Building Reliable AI Agents with a Continuous Evaluation Loop

Connect pre-production testing and production monitoring in one continuous evaluation loop.

Analyzing Coding Agent Behavior with Custom Evaluators

Analyzing Coding Agent Behavior with Custom Evaluators

Use custom evaluators to score how coding agents behave across sessions.

Fireside Chat: Increase Accuracy and Scale Evaluations with Centor

Fireside Chat: Increase Accuracy and Scale Evaluations with Centor

Fiddler data scientists on scaling agent evaluations with fast, purpose-built and task-specific models and Dynamic Model Escalation.

Guardrails And Sensitive Data Protection

Stop unsafe prompts and responses before they reach users or leak sensitive data.
Protect AI Agents from Jailbreak and PII Leakage with Evals and Guardrails Powered by Fiddler Centor

Protect AI Agents from Jailbreak and PII Leakage with Evals and Guardrails Powered by Fiddler Centor

Detect jailbreaks and PII leakage with Fiddler Centor Models, in testing and at runtime.

How to Prevent AI Agents from Leaking Sensitive Data with Fiddler Guardrails and LiteLLM

How to Prevent AI Agents from Leaking Sensitive Data with Fiddler Guardrails and LiteLLM

Add Fiddler Guardrails to your LiteLLM gateway to block sensitive data leaks.

Governance

Keep agent adoption accountable to your policies and to AI regulations.
How to Govern Coding Agents as Adoption Scales

How to Govern Coding Agents as Adoption Scales

Set policies and track usage as coding agents spread across teams.

Bar chart titled Estimated Annual Evaluation Cost comparing six external LLMs against Fiddler AI's Centor Models.

Maximize ROI Across The Fleet

Compare the total cost of running evaluations with Fiddler Centor Models against LLM-based evaluators, using your own traffic and growth.

Request a Demo

Tell us about your AI stack and a Fiddler expert will walk you through the platform.