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
Nielsen Operationalizes Trust for a Production Multi-Agent AI Copilot
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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Read product updates, data science research, and company news
AI Forward Summit
Watch recordings on how to operationalize production LLMs, and maximize the value of AI
Connect
Events
Find out about upcoming events
Webinars
Learn from industry experts on pressing issues facing Agentic and ML teams.
Contact Us
Get in touch with the Fiddler team
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.
Read report
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Company
About Us
Our mission and who we are
Customers
Learn how customers use Fiddler
Careers
We're hiring!
Join fiddler to build trustworthy and responsible AI solutions
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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
Join us
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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Bias and Fairness in AI
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Search
January 22, 2025
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Karen He and William Han
Introducing Fiddler Guardrails: Safeguarding LLM Applications from Safety and Security Risks
Product
Generative AI and LLMOps
January 16, 2025
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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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December 30, 2024
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AI Governance in the Age of Generative AI
Generative AI and LLMOps
Responsible AI
December 12, 2024
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Krishna Gade and Amit Paka
Fiddler AI Raises Series B Prime with New Partners to Expand Enterprise AI Observability and AI Safety
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December 4, 2024
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Karen He, Sabina Cartacio, and Chris Lambert
Fiddler Delivers Native Enterprise-Grade AI Observability to Amazon SageMaker AI Customers
Product
November 22, 2024
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Yuriy Pavlish and Karen He
Deploying Enterprise LLM Applications with Inference, Guardrails, and Observability
Responsible AI
Generative AI and LLMOps
November 14, 2024
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Rajesh Hegde
Advanced Pytest Patterns: Harnessing the Power of Parametrization and Factory Methods
Engineering
October 25, 2024
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Karen He
Fiddler AI Observability Now on Google Cloud Marketplace
Product
October 7, 2024
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Yuriy Pavlish
What the EU AI Act Really Means
Responsible AI
September 26, 2024
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Rajesh Hegde
Using Pytest Fixtures to Elevate Product Feature Quality
Engineering
September 16, 2024
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Danny Brock and Greg Stachnick
How to Monitor Your DataStax RAG Applications with Fiddler
Generative AI and LLMOps
August 9, 2024
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Amit Paka and Karen He
The EU AI Act: A Pathway to AI Governance with Fiddler
Responsible AI
July 31, 2024
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Karen He
Scaling GenAI Applications in Production for the Enterprise
Generative AI and LLMOps
June 19, 2024
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Karen He
Fiddler LLM Enrichments Framework for LLM Monitoring
Product
June 17, 2024
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Amit Paka
Defense Innovation Unit Issues Success Memo to Fiddler AI
Company
MLOps
June 7, 2024
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Gabriel Atkin, Karen He, and Amal Iyer
Steer and Observe LLMs with NVIDIA NeMo Guardrails and Fiddler
Generative AI and LLMOps
May 7, 2024
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Karen He
LLM Monitoring: The Key to Successful LLM Deployments
Generative AI and LLMOps
April 30, 2024
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Karen He
Detect Hallucinations Using LLM Metrics
Generative AI and LLMOps
March 12, 2024
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Amit Paka and Krishna Gade
The New Stack for LLMOps
Generative AI and LLMOps
March 7, 2024
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Karen He
AI Innovation and Ethics with AI Safety and Alignment
Generative AI and LLMOps
March 4, 2024
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Danny Brock and Karen He
AI Observability: The Build vs. Buy Dilemma
Model Monitoring
MLOps
Generative AI and LLMOps
February 15, 2024
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Danny Brock and Karen He
Choosing Between Metrics and Inferences for Model Monitoring
Model Monitoring
MLOps
Generative AI and LLMOps
February 12, 2024
/
Amal Iyer and Barun Halder
The Advantage of Language Model-Based Embeddings
Model Monitoring
January 19, 2024
/
Karen He
Managing the Risks of Generative AI
Generative AI and LLMOps
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