- Observability
Fiddler unifies AI Observability for ML, GenAI & LLMs, driving responsible AI with trust, scale & insights.
- Freemium
- Closed Source
- Horizontal
Fiddler AI
empowers professionals like
- AI Engineers AI Researchers Compliance Officers Compliance Teams Data Engineers Data Scientists Machine Learning Engineers MLOps Engineers Product Managers
Fiddler AI
can assist with
- Automated Reporting Data Visualization Explainable AI LLM Evaluation ML Observability
Fiddler AI
Introduction
Fiddler leads in AI Observability, enabling responsible AI through a unified platform that supports ML, GenAI, and LLM operations. With centralized controls, shared language, and actionable insights, it simplifies scaling stable, secure AI systems. Its monitoring, explainability, and analytics tools tackle key MLOps and LLM challenges. Fiddler empowers teams to evolve toward advanced capabilities while embedding responsible AI practices
Fiddler AI
Features
✨ LLM & ML Monitoring
Continuously tracks model performance, helping maintain reliability and stability across GenAI and ML apps.
✨ Explainable AI
Delivers clear model insights to understand predictions and build user trust in AI decisions.
✨ Guardrails
Stops model drift, toxicity, hallucinations, and more to ensure safer, more predictable AI behavior.
✨ Fiddler Trust Service
Powers responsible AI with LLM scoring and robust evaluation frameworks for ethical deployment.
✨ Traces and Spans
Visualize and trace model workflows end-to-end to simplify debugging and performance analysis.
✨ Alerts
Instant notifications for model anomalies or shifts to proactively resolve issues.
✨ Fairness and Bias Tracking
Monitors fairness metrics to detect and address bias, supporting ethical AI development.
✨ LLM Scoring with Fiddler Trust Service
Evaluates large language models using trust metrics for safe and effective GenAI operations.
✨ Segmentation
Breaks down performance by user group or data slice to uncover hidden insights and edge-case behaviors.
✨ Root Cause Analysis
Pinpoints the source of performance issues for faster and smarter resolutions.
✨ Reports and Dashboards
Interactive dashboards and automated reports to keep teams aligned and informed.
✨ Visualization
Offers intuitive views of AI system behavior for faster understanding and collaboration.
✨ Custom Metrics
Define and track business-relevant metrics tailored to specific AI goals and use cases.
Fiddler AI
Use Cases
✓ LLM Observability
Enables teams to monitor, debug, and optimize large language models with actionable insights at scale.
✓ Explainable AI
Helps uncover the ‘why’ behind model predictions, improving transparency and user confidence in AI systems.
✓ ML Observability
Tracks and analyzes ML model behavior over time to ensure consistency, accuracy, and operational stability.
✓ AI Observability
Unifies the view of all AI systems—ML, GenAI, and LLMs—for streamlined monitoring and governance.
✓ LLM Guardrails
Prevents issues like hallucinations, bias, and drift in generative models, ensuring safer and ethical AI use.
Fiddler AI
Integration Method
- AWS
