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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
Ready to get started?
Request demo
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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Bias and Fairness in AI
Bias and Fairness in AI Blogs
Learn how to create fair, ethical AI and the key challenges ML teams face when addressing fairness and model bias.
February 9, 2023
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Murtuza Shergadwala
Human-Centric Design For Fairness And Explainable AI
Bias and Fairness in AI
Data Science
Explainable AI
August 5, 2022
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Amit Paka
FairCanary: Rapid Continuous Explainable Fairness
Explainable AI
Bias and Fairness in AI
August 1, 2022
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Murtuza Shergadwala
Detecting Intersectional Unfairness in AI: Part 2
Bias and Fairness in AI
Data Science
May 25, 2022
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Krishna Gade
AI Regulations Are Here. Are You Ready?
Responsible AI
Bias and Fairness in AI
April 4, 2022
/
Murtuza Shergadwala
Detecting Intersectional Unfairness in AI: Part 1
Bias and Fairness in AI
Data Science
June 2, 2021
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Amit Paka
Introducing Bias Detector: A New Methodology to Assess Machine Learning Fairness
Bias and Fairness in AI
Product
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 13, 2021
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Avijit Ghosh
Measuring Intersectional Fairness
Data Science
Bias and Fairness in AI
March 2, 2021
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Mary Reagan
Understanding Bias and Fairness in AI Systems
Bias and Fairness in 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 9, 2021
/
Anusha Sethuraman
How Do We Build Responsible, Ethical AI?
Responsible AI
Bias and Fairness in AI
October 29, 2020
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Amit Paka
How to Build a Fair AI System
Bias and Fairness in 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
May 14, 2020
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Marissa Gerchick
Identifying Bias When Sensitive Attribute Data is Unavailable: Geolocation in Mortgage Data
Bias and Fairness in AI
Data Science
May 1, 2020
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Marissa Gerchick
Identifying Bias When Sensitive Attribute Data is Unavailable: Exploring Data From the Hmda
Bias and Fairness in AI
Data Science
March 4, 2020
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Marissa Gerchick
Identifying Bias When Sensitive Attribute Data is Unavailable: Techniques for Inferring Protected Characteristics
Bias and Fairness in AI
Data Science
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
November 14, 2019
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Krishna Gade
The Never-ending Issues Around AI and Bias – Who’s to Blame When AI Goes Wrong?
Bias and Fairness in 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
April 23, 2019
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Dan Frankowski
A Gentle Introduction to Algorithmic Fairness
Bias and Fairness in AI
Data Science
