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
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
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Pricing
Resources
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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
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
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
Run free guardrails
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Blog
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Responsible AI
Responsible AI Blogs
Learn all about responsible AI and how to build fair, transparent, trustworthy AI.
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
October 7, 2024
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Yuriy Pavlish
What the EU AI Act Really Means
Responsible AI
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
August 10, 2023
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Bashir Rastegarpanah and Karen He
Fiddler Report Generator for AI Risk and Governance
Data Science
Responsible AI
Product
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 9, 2023
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Mary Reagan
Legal Frontiers of AI with Patrick Hall
Responsible AI
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 9, 2023
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Mary Reagan
Generative AI Meets Responsible AI Virtual Summit
Community
Responsible AI
Generative AI and LLMOps
January 27, 2023
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Mary Reagan
Not all Rainbows and Sunshine: the Darker Side of ChatGPT
Responsible AI
Explainable AI
January 23, 2023
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Amit Paka
Fiddler is Now Available for AWS GovCloud
Responsible AI
Company
January 5, 2023
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Krishnaram Kenthapadi
How the AI Bill of Rights Impacts You
Responsible AI
November 28, 2022
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Shohil Kothari
Responsible AI by Design
Responsible AI
September 9, 2022
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Krishnaram Kenthapadi
Why You Need Explainable AI
Explainable AI
Responsible AI
August 8, 2022
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Krishnaram Kenthapadi
With Great ML Comes Great Responsibility
Responsible AI
May 25, 2022
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Krishna Gade
AI Regulations Are Here. Are You Ready?
Responsible AI
Bias and Fairness in AI
March 21, 2022
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Shohil Kothari
Business Roundtable’s 10 Core Principles for Responsible AI
Responsible AI
February 7, 2022
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Amy Holder
XAI Summit Highlights: Responsible AI in Banking
Explainable AI
Responsible AI
February 2, 2022
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Krishna Gade
The New 5-Step Approach to Model Governance for the Modern Enterprise
MLOps
Responsible AI
January 18, 2022
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Amy Holder
A Maturity Model for AI Ethics - An XAI Summit Highlight
Responsible AI
January 13, 2022
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Krishna Gade
Where Do We Go from Here? The Case for Explainable AI
Explainable AI
Responsible AI
December 2, 2021
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Krishna Gade
Zillow Offers: A Case for Model Risk Management
Responsible AI
November 17, 2021
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Amy Holder
Responsible AI Shifts Into High Gear
Responsible AI
October 29, 2021
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Henry Lim
The Key Role of Explainable AI in the Next Decade
Explainable AI
Responsible AI
July 8, 2021
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Anusha Sethuraman
Responsible AI Podcast with Scott Zoldi — "It's time for AI to grow up"
Responsible AI
July 2, 2021
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Amit Paka
EU Mandates Explainability and Monitoring in Proposed GDPR of AI
MLOps
Responsible AI
June 8, 2021
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Anusha Sethuraman
Responsible AI Podcast with Anjana Susarla – “The Industry Is Still in a Very Nascent Phase”
Explainable AI
Responsible AI
May 21, 2021
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Anusha Sethuraman
Responsible AI Podcast with Anand Rao – “It’s the Right Thing to Do”
Responsible AI
Bias and Fairness in AI
May 11, 2021
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Henry Lim
Building Trust With AI in the Financial Services Industry
Responsible AI
May 8, 2021
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Henry Lim
Achieving Responsible AI in Finance With Model Performance Management
Explainable AI
Responsible AI
April 29, 2021
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Anusha Sethuraman
Responsible AI Podcast Ep.3 – “We’re at an Interesting Inflection Point for Humanity”
Responsible AI
April 16, 2021
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Henry Lim
What Should Research and Industry Prioritize to Build the Future of Explainable AI?
Explainable AI
Responsible AI
April 2, 2021
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Anusha Sethuraman
Responsible AI Podcast Ep.2 - “Only Responsible AI Companies Will Survive”
Responsible AI
March 29, 2021
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Anusha Sethuraman
Women Who Are Leading the Way in Responsible AI
Responsible AI
Culture
March 19, 2021
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Anusha Sethuraman
Responsible AI Podcast Ep.1 - “AI Ethics is a Team Sport”
Responsible AI
February 26, 2021
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Anusha Sethuraman
AI in Finance Panel: Accelerating AI Risk Mitigation with XAI and Continuous Monitoring
Bias and Fairness in AI
Responsible AI
January 29, 2021
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Amit Paka
Supporting Responsible AI in Financial Services
Responsible AI
January 9, 2021
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Anusha Sethuraman
How Do We Build Responsible, Ethical AI?
Responsible AI
Bias and Fairness in AI
December 15, 2020
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Anusha Sethuraman
Achieving Responsible AI in Finance
Explainable AI
Responsible AI
September 10, 2020
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Krishna Gade
TikTok and the Risks of Black Box Algorithms
Responsible AI
Bias and Fairness in AI
February 27, 2020
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Marissa Gerchick
Identifying Bias When Sensitive Attribute Data is Unavailable
Bias and Fairness in AI
Responsible AI
Data Science
February 17, 2020
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Anusha Sethuraman
Responsible AI With Model Risk Management
Responsible AI
December 6, 2019
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Amit Paka
Fed Opens Up Alternative Data - More Credit, More Algorithms, More Regulation
Responsible AI
November 25, 2019
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Krishna Gade
Explainable AI Goes Mainstream But Who Should Be Explaining?
Responsible AI
September 2, 2019
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Amit Paka
Regulations to Trust AI Are Here. And it's a Good Thing
Responsible AI
Bias and Fairness in AI
July 18, 2019
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Kent Twardock
Can Congress Help Keep AI Fair for Consumers?
Bias and Fairness in AI
Responsible AI
