


What is Fiddler AI?
Fiddler AI is an AI Observability platform that monitors and analyzes machine learning models and generative AI applications. It tracks model performance metrics in real-time, provides explanations for model decisions, and identifies root causes of model issues to help data scientists and MLOps teams build more reliable AI systems. Data science teams use Fiddler to detect model drift, pinpoint underperforming segments, and make data-driven improvements to their AI applications.
What sets Fiddler AI apart?
Fiddler AI differentiates itself with its 3D UMAP visualization technology, which allows data scientists to quickly identify drift patterns in high-dimensional spaces. This visualization approach helps ML teams pinpoint problematic model segments across different data sources including Snowflake, AWS, Google Cloud, and on-premise systems. The platform's built-in compliance framework for regulations like HIPAA and SOC 2 Type 2 makes it particularly valuable for organizations in highly regulated industries that need to explain AI decisions.
Fiddler AI Use Cases
- ML Model Monitoring
- AI Performance Analytics
- Model Explainability
- Responsible AI Governance
- Root Cause Analysis
Who uses Fiddler AI?
Features and Benefits
- Track performance metrics, data drift, and data integrity across ML models and LLM applications to detect issues before they impact business outcomes.
AI Monitoring
- Understand why models make specific predictions with visualization tools and explainable AI methods that provide transparency into model behavior.
Model Explainability
- Identify problematic data segments and feature importance to diagnose performance issues and improve model outcomes.
Root Cause Analysis
- Create tailored reports with flexible visualization options to align AI metrics with business KPIs and share insights across teams.
Customizable Dashboards
- Detect and mitigate bias in datasets and models with built-in fairness metrics to build transparent and ethical AI practices.
Fairness Assessment
Fiddler AI Pros and Cons
Powerful monitoring capabilities specifically optimized for LLM models
Provides comprehensive centralized observability for machine learning models
Clean and intuitive interface for tracking issues
Robust integration options with existing tools and systems
Steep learning curve for users new to AI and monitoring
No free tier available for testing basic functionality
Dashboard creation process could be more intuitive
May be overwhelming for teams without AI expertise
Pricing
Free TrialMonitor model performance, drift, and data integrity
Basic root cause analysis
Communication and support essentials
Security essentials
Includes all Lite features
Advanced model analytics
Assess model fairness and bias
Role based access control and SSO
Named Customer Success Manager
Engineering and Data Science services
Includes all Business features
Cloud and On-Premise deployment options
White-glove support and services for tailored AI deployment
Customized onboarding and solution success
Dedicated communication channels