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 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
Ready to get started?
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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
See customers
Pricing
Pricing Plans
Choose the plan that’s right for you
Contact Sales
Have questions about pricing, plans, or Fiddler?
Pricing
Resources
Learn
Resource Library
Discover reports, videos, and research
Docs
Get in-depth user guides and technical documentation
Blog
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
TCO Calculator for Evaluations
Your evaluation TCO may be higher than you think. Play around with the calculator and discover your TCO, whether you're running simple tasks or complex reasoning projects with LLM-as-a-judge.
See your evals TCO
Company
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
Newsroom
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
See your evals TCO
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Blog
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Generative AI and LLMOps
Generative AI and LLMOps Blogs
Read our blogs on LLMs and generative AI models and applications.
May 22, 2026
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Fiddler Team
How Autonomous Coding Agents Are Reshaping Artificial Intelligence Security Issues
Generative AI and LLMOps
May 21, 2026
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Fiddler Team
How to Trace Agent Handoffs in Multi-Agent LLM Systems
Generative AI and LLMOps
May 20, 2026
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Karen He
AI Agents Have an Identity Complex
Generative AI and LLMOps
May 19, 2026
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Fiddler Team
What Is an Agent Harness and Why It Matters
Generative AI and LLMOps
May 15, 2026
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Fiddler Team
AI Security Posture Management in the Age of Agents
Generative AI and LLMOps
May 12, 2026
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Fiddler Team
How To Build an AI Agent ROI Calculator That Finance Actually Trusts
Generative AI and LLMOps
May 7, 2026
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Fiddler Team
Your LLM Application Passed Eval But It's Still Failing in Production
Generative AI and LLMOps
May 6, 2026
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Fiddler Team
AI Coding Agent Security: Threat Models and Controls
Generative AI and LLMOps
May 4, 2026
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Fiddler Team
Your MCP Agent Is Failing Silently.
Generative AI and LLMOps
May 1, 2026
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Fiddler Team
Reducing Latency in Enterprise-Scale AI Applications
Generative AI and LLMOps
April 30, 2026
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Fiddler Team
Information Leakage Security Optimization Model for LLMs
Generative AI and LLMOps
April 29, 2026
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Fiddler Team
AI Agent Failure Rate: Why 70-95% Fail in Production
Generative AI and LLMOps
April 28, 2026
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Karen He
The Claude Code Source Code Leak Is Fixed. Future Risks Aren't.
Generative AI and LLMOps
April 24, 2026
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Karen He
AI Governance Isn't Optional in Healthcare
Generative AI and LLMOps
April 22, 2026
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Fiddler Team
Hidden Costs of Calling External LLMs: The Trust Tax
Generative AI and LLMOps
April 16, 2026
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Fiddler Team
AI Agent Red Teaming: Techniques and Attack Surfaces
Generative AI and LLMOps
April 16, 2026
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Fiddler Team
Agent Measurability Starts Before You Build
Generative AI and LLMOps
March 27, 2026
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Rajesh Hegde
Using GitHub to Integrate AI Agents into Your Dev Workflow
Engineering
Generative AI and LLMOps
February 23, 2026
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Amit Paka
OpenClaw and the Observability Gap in Autonomous AI Assistants: Why it Can't Wait
Generative AI and LLMOps
February 11, 2026
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Fiddler Team
How to Prevent Rogue Agents and Accelerate Enterprise AI Deployment
Generative AI and LLMOps
December 16, 2025
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Karen He, Max Bukhovko, Steve Hannah
What OMB M-26-04 Means for Federal Agencies Deploying AI
Generative AI and LLMOps
November 19, 2025
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Fiddler Team
Agentic Observability: A 4-Stage Walkthrough
Product
Generative AI and LLMOps
October 15, 2025
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Fiddler Team
From Evaluations to Production: End-to-End Observability for the Agentic AI Lifecycle
Product
Generative AI and LLMOps
September 5, 2025
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Fiddler Team
Beyond Predictability: Lessons Learned from Building Agentic Systems
Generative AI and LLMOps
August 22, 2025
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Amit Paka
Enterprise AI Observability in the Age of Superintelligence
Generative AI and LLMOps
August 8, 2025
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Fiddler Team
The Production-Ready Agent: A Practical Playbook
Generative AI and LLMOps
July 23, 2025
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Amit Paka
A Practical Guide to Monitoring and Controlling Agentic Applications
Generative AI and LLMOps
July 14, 2025
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Krishna Gade, Kirti Dewan, Karen He
Anatomy of an Agent: Observing the Full Lifecycle of AI Agents
Generative AI and LLMOps
July 8, 2025
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Krishna Gade, Kirti Dewan, Karen He
Agentic Observability Starts in Development: Build Reliable Agentic Systems
Generative AI and LLMOps
March 27, 2025
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Cole Martin
Developing Agentic AI Workflows with Safety and Accuracy
Generative AI and LLMOps
March 6, 2025
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Cole Martin
Harnessing Generative AI for Healthcare Innovation
Generative AI and LLMOps
Use Case
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
Product
Generative AI and LLMOps
December 30, 2024
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Cole Martin
AI Governance in the Age of Generative AI
Generative AI and LLMOps
Responsible AI
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
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
July 31, 2024
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Karen He
Scaling GenAI Applications in Production for the Enterprise
Generative AI and LLMOps
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
January 19, 2024
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Karen He
Managing the Risks of Generative AI
Generative AI and LLMOps
January 2, 2024
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Anushrav Vatsa and Danny Brock
Fiddler and Domino Integration: Streamline MLOps and LLMOps to Accelerate the Production of AI Applications
Product
MLOps
Generative AI and LLMOps
December 14, 2023
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Danny Brock and Greg Stachnick
Building RAG-based AI Applications with DataStax and Fiddler
Product
Generative AI and LLMOps
November 28, 2023
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Amit Paka and Danny Brock
Achieve Enterprise-Grade LLM Observability for Amazon Bedrock with Fiddler
Generative AI and LLMOps
Product
November 7, 2023
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Karen He
Monitor and Analyze LLM Hallucinations, Safety, and PII with Fiddler LLM Observability
Product
Generative AI and LLMOps
October 9, 2023
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Shohil Kothari
Building Generative AI Applications for Production
Generative AI and LLMOps
MLOps
September 29, 2023
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Amit Paka
How to Monitor LLMOps Performance with Drift Monitoring
Generative AI and LLMOps
August 31, 2023
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Shohil Kothari
Graph Neural Networks and Generative AI
Generative AI and LLMOps
August 17, 2023
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Amit Paka
Four Ways that Enterprises Deploy LLMs
Generative AI and LLMOps
July 10, 2023
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Amal Iyer and Karen He
Evaluate LLMs Against Prompt Injection Attacks Using Fiddler Auditor
Generative AI and LLMOps
Data Science
June 30, 2023
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Shohil Kothari
AI Safety in Generative AI
Generative AI and LLMOps
May 31, 2023
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Mary Reagan
Thinking of AI as a Public Service
Generative AI and LLMOps
May 23, 2023
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Sree Kamireddy and Karen He
Fiddler Introduces End-to-End Workflow for Robust Generative AI
Product
Generative AI and LLMOps
May 23, 2023
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Amal Iyer and Krishnaram Kenthapadi
Introducing Fiddler Auditor: Evaluate the Robustness of LLMs and NLP Models
Generative AI and LLMOps
Responsible AI
May 18, 2023
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Mary Reagan
Best Practices for Responsible AI
Generative AI and LLMOps
Responsible AI
May 16, 2023
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Mary Reagan
LLMOps: Operationalizing Large Language Models
Generative AI and LLMOps
MLOps
May 3, 2023
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Mary Reagan
Top 5 Questions on Responsible AI from our Summit
Community
Generative AI and LLMOps
April 27, 2023
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Krishna Gade
An Intro to LLMs and Generative AI
Generative AI and LLMOps
April 25, 2023
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Mary Reagan
Top 5 Questions on LLMOps from our Generative AI Meets Responsible AI Summit
Community
Generative AI and LLMOps
April 20, 2023
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Josh Rubin
What is ChatGPT Thinking?
Data Science
Generative AI and LLMOps
April 18, 2023
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Mary Reagan
Enterprise Generative AI - Promises vs Compromises
Generative AI and LLMOps
April 6, 2023
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Mary Reagan
Innovating with Generative AI
Generative AI and LLMOps
April 4, 2023
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Amit Paka, Krishna Gade, and Krishnaram Kenthapadi
The Missing Link in Generative AI
Model Monitoring
Generative AI and LLMOps
March 24, 2023
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Mary Reagan and Krishnaram Kenthapadi
GPT-4 and the Next Frontier of Generative AI
Generative AI and LLMOps
Responsible AI
March 14, 2023
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Amit Paka and Krishna Gade
LLMOps: The Future of MLOps for Generative AI
MLOps
Generative AI and LLMOps
March 9, 2023
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Mary Reagan
Generative AI Meets Responsible AI Virtual Summit
Community
Responsible AI
Generative AI and LLMOps
