Product
Platform Capabilities
Why Fiddler AI Observability
Key capabilities and benefits
Explainable AI
Understand the ‘why’ and ‘how’ behind your models
NLP and CV Models
Monitor and uncover anomalies in unstructured models
LLMOps
AI Observability for end-to-end LLMOps
Security
Enterprise-grade security and compliance standards
MLOps
Deliver high performing AI solutions at scale
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Model Monitoring
Detect model drift, assess performance and integrity, and set alerts
Analytics
Connect predictions with context to business alignment and value
Fairness
Mitigate bias and build a responsible AI culture
Improve your AI models. Request a demo
Solutions
Customer Experience
Deliver seamless customer experiences
Lending and Trading
Make fair and transparent lending decisions with confidence
Case Studies
how.fm reduces time to detect model issues from days to minutes
Read more
Conjura reduces time to detect and resolve model drift from days to hours
Read more
Lifetime Value
Extend the customer lifetime value
Risk and Compliance
Minimize risk with model governance and ML compliance
Government
Safeguarding citizens and national security with trusted AI
Pricing
Pricing Plans
Choose the plan that’s right for you
Platform Pricing Methodology
Discover our simple and transparent pricing
Plan Comparison
Compare platform capabilities and support across plans
FAQs
Obtain pricing answers from frequently asked questions
Build vs Buy
Key considerations for buying an AI Observability solution
Contact Sales
Have questions about pricing, plans, or Fiddler? Contact us to talk to an expert
Resources
Learn
Featured Resources
Introducing Fiddler Auditor
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Operationalize Models at Scale
Watch now
Model Monitoring Best Practices
Learn more
Resource Library
Discover the latest reports, videos, and research
Docs
Get in-depth user guides and technical documentation
Blog
Read the latest blogs, product updates, and company news
Guides
Download our latest guides on model monitoring and AI explainability
Connect
Events
Find out about upcoming events
Become a Partner
Learn more about our partner program
Support
Need help? Contact the Fiddler AI
support team
Amazon SageMaker + Fiddler
End-to-end model lifecycle management
Company
About
Our mission and who we are
Careers
Join Fiddler AI to build trustworthy and responsible AI solutions
Featured news
Fiddler AI is on a16z's inaugural Data50 list of the world's top 50 data startups
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Customers
Learn how customers use Fiddler
Newsroom
Explore recent news and press releases
Request demo
Contact us
Contact us
Request demo
Request demo
Responsible AI blogs
Learn all about responsible AI and how to build fair, transparent, trustworthy AI.
Bashir Rastegarpanah and Karen He
Fiddler Report Generator for AI Risk and Governance
Amal Iyer and Krishnaram Kenthapadi
Introducing Fiddler Auditor: Evaluate the Robustness of LLMs and NLP Models
Mary Reagan
Best Practices for Responsible AI
Mary Reagan
Legal Frontiers of AI with Patrick Hall
Shohil Kothari
AI and MLOps Roundup: April 2023
Mary Reagan and Krishnaram Kenthapadi
GPT-4 and the Next Frontier of Generative AI
Mary Reagan
Generative AI Meets Responsible AI Virtual Summit
Mary Reagan
Not all Rainbows and Sunshine: the Darker Side of ChatGPT
Amit Paka
Fiddler is Now Available for AWS GovCloud
Krishnaram Kenthapadi
How the AI Bill of Rights Impacts You
Shohil Kothari
Responsible AI by Design
Krishnaram Kenthapadi
Why You Need Explainable AI
Krishnaram Kenthapadi
With Great ML Comes Great Responsibility
Krishna Gade
AI Regulations Are Here. Are You Ready?
Shohil Kothari
Business Roundtable’s 10 Core Principles for Responsible AI
Amy Holder
XAI Summit Highlights: Responsible AI in Banking
Krishna Gade
The New 5-Step Approach to Model Governance for the Modern Enterprise
Amy Holder
A Maturity Model for AI Ethics - An XAI Summit Highlight
Krishna Gade
Where Do We Go from Here? The Case for Explainable AI
Krishna Gade
Zillow Offers: A Case for Model Risk Management
Amy Holder
Responsible AI Shifts Into High Gear
Henry Lim
The Key Role of Explainable AI in the Next Decade
Anusha Sethuraman
Responsible AI Podcast with Scott Zoldi — "It's time for AI to grow up"
Amit Paka
EU Mandates Explainability and Monitoring in Proposed GDPR of AI
Anusha Sethuraman
Responsible AI Podcast with Anjana Susarla – “The Industry Is Still in a Very Nascent Phase”
Anusha Sethuraman
Responsible AI Podcast with Anand Rao – “It’s the Right Thing to Do”
Henry Lim
Building Trust With AI in the Financial Services Industry
Henry Lim
Achieving Responsible AI in Finance With Model Performance Management
Anusha Sethuraman
Responsible AI Podcast Ep.3 – “We’re at an Interesting Inflection Point for Humanity”
Henry Lim
What Should Research and Industry Prioritize to Build the Future of Explainable AI?
Anusha Sethuraman
Responsible AI Podcast Ep.2 - “Only Responsible AI Companies Will Survive”
Anusha Sethuraman
Women Who Are Leading the Way in Responsible AI
Anusha Sethuraman
Responsible AI Podcast Ep.1 - “AI Ethics is a Team Sport”
Anusha Sethuraman
AI in Finance Panel: Accelerating AI Risk Mitigation with XAI and Continuous Monitoring
Amit Paka
Supporting Responsible AI in Financial Services
Anusha Sethuraman
How Do We Build Responsible, Ethical AI?
Anusha Sethuraman
Achieving Responsible AI in Finance
Krishna Gade
TikTok and the Risks of Black Box Algorithms
Marissa Gerchick
Identifying Bias When Sensitive Attribute Data is Unavailable
Anusha Sethuraman
Responsible AI With Model Risk Management
Amit Paka
Fed Opens Up Alternative Data - More Credit, More Algorithms, More Regulation
Krishna Gade
Explainable AI Goes Mainstream But Who Should Be Explaining?
Amit Paka
Regulations To Trust AI Are Here. And It's a Good Thing
Kent Twardock
Can Congress Help Keep AI Fair for Consumers?
