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About
Fiddler AI is a comprehensive AI Control Plane purpose-built for enterprises deploying agentic and machine learning systems in production. It provides three core pillars: Agentic Observability, Guardrails, and AI Governance, Risk Management & Compliance (GRC). With agentic observability, teams gain complete visibility into agent hierarchies, execution context, decision lineage, and root cause analysis across multi-step agentic workflows. The Fiddler Trust Service offers purpose-built trust models for secure, in-environment evaluation and real-time guardrails — protecting agentic applications against harmful outputs, policy violations, and security threats. Fiddler's guardrails are benchmarked as the industry's fastest, making them suitable for latency-sensitive enterprise deployments. The governance layer provides centralized control and accountability, helping enterprises meet regulatory and compliance requirements for responsible AI. Fiddler supports key industry verticals including government and defense, healthcare, insurance, and financial services. It integrates with major cloud and MLOps platforms including Amazon SageMaker, Google Cloud Vertex AI, NVIDIA NIM/NeMo Guardrails, Databricks, and Datadog. Backed by $30M in Series C funding, Fiddler is trusted by enterprise customers such as Nielsen, the U.S. Navy, and Integral Ad Science for operationalizing trustworthy AI at scale.
Key Features
- Agentic Observability: End-to-end visibility across the agentic hierarchy with execution context, decision lineage, and root cause analysis for complex multi-agent systems.
- Industry-Fast Guardrails: Real-time guardrails that protect agentic applications from harmful outputs, policy violations, and security threats with benchmark-leading latency.
- Fiddler Trust Service: Purpose-built trust models that run securely in-environment for evaluation and guardrails, enabling safe AI deployments without sending data to third parties.
- AI Governance & Compliance: Centralized governance layer for enforcing policies, managing risk, and meeting regulatory compliance requirements across all enterprise AI systems.
- ML Observability: Monitor, debug, and improve machine learning models in production with performance tracking, drift detection, and explainability.
Use Cases
- Monitoring multi-agent AI systems in production to detect failures, drift, and unexpected behaviors in real time.
- Enforcing safety guardrails on LLM-powered enterprise agents to prevent harmful, biased, or policy-violating outputs.
- Meeting regulatory and compliance requirements for AI governance in industries like healthcare, insurance, and government.
- Debugging complex agentic workflows using decision lineage and execution context to pinpoint root causes of failures.
- Integrating AI observability into existing MLOps pipelines on platforms like AWS SageMaker, Databricks, or Google Vertex AI.
Pros
- Comprehensive agentic coverage: One platform covers the full agentic lifecycle — from experimentation and testing to monitoring, guardrails, and governance.
- Broad ecosystem integrations: Native integrations with AWS SageMaker, Google Cloud Vertex AI, NVIDIA NIM, Databricks, and Datadog reduce friction for enterprise deployments.
- Enterprise-grade security: In-environment evaluation and trust models keep sensitive data secure, meeting stringent compliance requirements in regulated industries.
- Free guardrails tier available: Organizations can get started with guardrails at no cost, making it easy to evaluate Fiddler before committing to an enterprise plan.
Cons
- Enterprise-oriented pricing: Fiddler's full feature set is designed for large organizations, making it potentially cost-prohibitive or over-engineered for small teams or startups.
- Requires a demo for full access: Most advanced features require contacting sales and going through a demo process, which adds friction for self-service evaluation.
- Complex setup at scale: Configuring observability, guardrails, and governance across large multi-agent systems can require significant implementation effort.
Frequently Asked Questions
What is the Fiddler AI Control Plane?
The Fiddler AI Control Plane is an enterprise platform that provides observability, guardrails, and governance across the entire agentic AI lifecycle — from experimentation to production monitoring and compliance.
Does Fiddler AI offer a free tier?
Yes, Fiddler offers free guardrails that organizations can run without cost. Enterprise plans with advanced observability and governance features are available via their sales team.
Which industries does Fiddler AI support?
Fiddler serves multiple verticals including government and defense (e.g., the U.S. Navy), healthcare, insurance, and financial services, with specialized use cases for each.
What cloud platforms does Fiddler integrate with?
Fiddler integrates with Amazon SageMaker, Google Cloud Vertex AI, NVIDIA NIM and NeMo Guardrails, Databricks, and Datadog, among others.
What is agentic observability in Fiddler?
Agentic observability in Fiddler provides complete visibility into agent hierarchies, tracks application state across the lifecycle, and enables root cause analysis with full execution context and decision lineage.
