Fiddler AI
Fiddler AI, Inc.
AI observability and security for agentic and generative systems.
Last verified April 21, 2026About Fiddler AI
Fiddler AI is an AI observability and security platform founded in 2018 and headquartered in Palo Alto, California, by Krishna Gade, Amit Paka, and Manoj Cheenath. Fiddler focuses on production monitoring — drift, performance, fairness, explainability — and has extended into LLM observability and security for compound and agentic AI systems. Fiddler raised a $30M Series C in January 2026, bringing total funding to $100M.
Framework coverage
Coverage claims documented by Fiddler AI on their own materials. Chip shading reflects the strength of the claim, not an independent audit.
EU · in force
US · voluntary
Global · voluntary
US · in force
Capabilities
Features Fiddler AI markets publicly. Inclusion means the capability is documented — not that it's best-in-class.
AI Model Inventory
Centralized registry of all AI/ML models in use across the organization, with ownership, lifecycle stage, and risk classification.
Policy Management
Authoring, versioning, and distribution of AI usage policies mapped to regulations.
Risk Assessment Workflow
Guided workflows for completing AI impact assessments, risk scoring, and approval routing.
Bias & Fairness Testing
Automated statistical testing for disparate impact across protected attributes, with audit-ready reports.
Explainability
SHAP, LIME, counterfactual, and feature-importance explanations for model decisions.
Model Monitoring
Production monitoring for performance, drift, data quality, and fairness regressions.
LLM Red Teaming
Automated adversarial testing of LLMs for jailbreaks, prompt injection, and unsafe outputs.
LLM Guardrails & Content Filtering
Runtime guardrails that block or redact unsafe prompts and responses in production LLM applications.
Audit Evidence Collection
Automated collection, hashing, and retention of evidence (model cards, test results, approvals) for audit.
Industries served
Integrations
Documented by Fiddler AI in public product materials.
- AWS SageMaker
- Azure ML
- Google Vertex AI
- Databricks
- Snowflake
- MLflow
- Weights & Biases
- Okta
- OpenAI API
- Anthropic API
Pricing
Contact for pricing
Free tier plus usage-based pricing at $0.002 per trace. Enterprise pricing on request.
Third-party reviews
Publicly cited ratings from independent review platforms. We don't collect reviews ourselves and we don't weight these in our rankings. Low review counts (≤2) are noted so you can decide how much signal to take from them.
G2
2 reviews · thin sample
Capterra
3 reviews
Pros and cons
Pros
- Best-in-class monitoring and explainability
- Strong enterprise references across financial services and healthcare
- Active in AI observability standards development
Cons
- Observability-first; lighter on policy management than governance-native tools
- Customers often pair with a GRC tool for full governance coverage
Alternatives to Fiddler AI
Frequently asked
Is Fiddler AI a governance tool or a monitoring tool?+
Primarily a monitoring/observability tool, now with growing LLM observability and security features. Customers commonly pair Fiddler with a governance platform like Credo AI or Trustible for policy, impact assessment, and audit evidence.
Does Fiddler support LLM monitoring?+
Yes — hallucination detection, prompt/response safety, and compound AI system observability are core to the current platform.
Sources
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