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Product
Control Plane for Agents
Systems of record for the agentic lifecycle
Explore the vision
Why Fiddler AI Observability
Test, observe, protect, and govern AI at enterprise scale
Agentic Observability
End-to-end visibility, context, and control for the agentic lifecycle
Fiddler Trust Service
Purpose-built trust models for secure, in-environment evaluation and guardrails
Guardrails
Protect agentic applications with the industry's fastest guardrails
AI Governance, Risk Management, and Compliance
Centralized control and accountability for enterprise AI governance and compliance
Responsible AI
Mitigate bias and build a responsible AI culture
ML Observability
Deliver high performing AI solutions at scale
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Solutions
Industry
Government
Mission-critical AI for defense and intelligence operations
Healthcare
Deploy agents for clinical care and patient outcomes safely
Insurance
Scale trusted agents across insurance claims, underwriting, and risk assessment
Use Cases
Customer Experience
Deliver agentic experiences that delight customers
Lifetime Value
Maximize customer lifetime value with agentic AI
Lending and Trading
Run autonomous financial AI operations at scale
Partners
Amazon SageMaker AI
Unified MLOps for scalable model lifecycle management
Google Cloud
Deploy safe and trustworthy AI applications on Vertex AI
NVIDIA NIM and NeMo Guardrails
Monitor and protect LLM applications
Databricks
Accelerate production ML with a streamlined MLOps experience
Datadog
Gain complete visibility into the performance of your AI applications
Become a partner
Case Studies
U.S. Navy decreased 97% time needed to update the ATR models
Integral Ad Science scales transparent and compliant AI products with AI Observability
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AI Forward Summit
Watch recordings on how to operationalize production LLMs, and maximize the value of AI
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Find out about upcoming events
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Learn from industry experts on pressing issues in MLOps and LLMOps
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2025 Enterprise Guardrails Benchmarks Report
Which guardrails solution is right for your organization? One size never fits all — and the stakes couldn't be higher.
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Our mission and who we are
Customers
Learn how customers use Fiddler
Careers
We're hiring!
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Explore recent news and press releases
Security
Enterprise-grade security and compliance standards
Featured News
AP News: Fiddler Raises $30M Series C to Power the Control Plane for AI Agents
WSJ Venture Capital: The $1 Trillion Hope Building Around Artificial Intelligence
CB Insights: AI Agents Need Security
Bloomberg: AI-Equipped Underwater Drones Helping US Navy Scan for Threats
We're on a mission to build trust into AI
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Run free guardrails
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Fiddler Blog
Krishna Gade and Amit Paka
Fiddler Series C: The Control Plane Moment for AI
Announcing our $30M Series C to power the Control Plane for AI agents.
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Krishna Gade and Amit Paka
Fiddler Series C: The Control Plane Moment for AI
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What OMB M-26-04 Means for Federal Agencies Deploying AI
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Accelerating Innovation with AWS: Fiddler AI Observability and Security Selected as an AWS Pattern Partner
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The Production-Ready Agent: A Practical Playbook
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A Practical Guide to Monitoring and Controlling Agentic Applications
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Anatomy of an Agent: Observing the Full Lifecycle of AI Agents
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Krishna Gade, Kirti Dewan, Karen He
Agentic Observability Starts in Development: Build Reliable Agentic Systems
Generative AI and LLMOps
Segio Ferragut, Karen He, Danny Brock
Proactive Drift and Data Quality Monitoring for Tecton Feature Views with Fiddler
MLOps
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Cole Martin
Fiddler Enhances Agentic AI Security with NVIDIA Enterprise AI Factory Integration
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Preventing Model Decay: Tecton + Fiddler for ML Drift Detection
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Explainable AI
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Fiddler is Selected for DoD’s APFIT Award to Accelerate Mission-Critical AI
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Generative AI and LLMOps
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Fiddler Guardrails Now Native to NVIDIA NeMo Guardrails
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Harnessing Generative AI for Healthcare Innovation
Generative AI and LLMOps
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Maria Martinez Joins Fiddler AI Board: Bringing Operational Excellence and Customer-Driven Innovation
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Karen He and William Han
Introducing Fiddler Guardrails: Safeguarding LLM Applications from Safety and Security Risks
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Gabriel Atkin and Karen He
Deploying Safe and Trustworthy LLM Applications at Scale with Fiddler and NVIDIA NeMo Guardrails
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Generative AI and LLMOps
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AI Governance in the Age of Generative AI
Generative AI and LLMOps
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