Fiddler AI

Fiddler AI is an enterprise-grade AI observability platform that provides comprehensive model monitoring, explainability, and bias detection capabilities for machine learning systems in production. Founded in 2018 and headquartered in Palo Alto, California, Fiddler has established itself as a leader in the AI observability space, serving mid-market and enterprise organizations across financial services, healthcare, e-commerce, and technology sectors. At its core, Fiddler offers a unified platform that enables data science and ML engineering teams to monitor model performance in real time, detect data drift, identify bias in model predictions, and generate human-readable explanations for individual predictions. The platform supports a wide range of model types including tabular, NLP, computer vision, and large language models, making it versatile enough to cover diverse AI deployments within an organization. Fiddler's bias detection capabilities are particularly noteworthy. The platform allows teams to define fairness metrics across protected attributes such as race, gender, and age, and continuously monitors model outputs for disparate impact and other fairness violations. When bias is detected, Fiddler provides actionable insights and root cause analysis, enabling teams to understand not just that bias exists but why it emerged and how it can be mitigated. This proactive approach to fairness monitoring is critical for organizations operating under regulatory frameworks like the EU AI Act and NIST AI RMF. The platform's explainability engine leverages techniques including SHAP values, feature importance, and counterfactual explanations to make model behavior transparent to both technical and non-technical stakeholders. This is particularly valuable for regulated industries where model decisions must be justifiable to auditors, regulators, and affected individuals. Fiddler integrates with major cloud platforms and ML infrastructure tools including AWS SageMaker, Google Vertex AI, and Databricks, enabling seamless deployment into existing ML workflows. The platform also offers robust alerting, dashboarding, and reporting capabilities that facilitate cross-functional collaboration between data science, compliance, and business teams.