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 Centor Models
Fast and free models for evaluation, and real-time policy enforcement
Continuous Evaluations
In-environment evaluation from testing to production
Guardrails
Enforce enterprise AI policies 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
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Resource Library
Discover reports, videos, and research
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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
The evaluations behind your guardrails are costing you more than you know. Every trace requires an external API call charged directly by your LLM provider. See what you are actually paying.
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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Deep Dives
Deep Dive Blogs
Technical deep dives, architecture, and insights from the Fiddler engineering and data science teams. Get closer to how we build.
Browse by categories
Company
Product Announcements
Deep Dives
Agentic AI
Generative AI
Predictive AI
Takes
June 29, 2026
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Samikshan Bairagya
Automating Eval-Driven Development Workflow for Agentic Applications
Deep Dives
March 27, 2026
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Rajesh Hegde
Using GitHub to Integrate AI Agents into Your Dev Workflow
Deep Dives
August 12, 2025
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Rajesh Hegde
Technical Deep Dive: Achieving Scalable Deduplication in Fiddler AI with ClickHouse
Deep Dives
November 14, 2024
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Rajesh Hegde
Advanced Pytest Patterns: Harnessing the Power of Parametrization and Factory Methods
Deep Dives
September 26, 2024
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Rajesh Hegde
Using Pytest Fixtures to Elevate Product Feature Quality
Deep Dives
July 10, 2023
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Amal Iyer and Karen He
Evaluate LLMs Against Prompt Injection Attacks Using Fiddler Auditor
Deep Dives
Generative AI
May 30, 2023
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Murtuza Shergadwala
Making Image Explanations Human-Centric: Decisions Beyond Heatmaps
Deep Dives
April 20, 2023
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Josh Rubin
What is ChatGPT Thinking?
Deep Dives
February 9, 2023
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Murtuza Shergadwala
Human-Centric Design For Fairness And Explainable AI
Deep Dives
Predictive AI
February 6, 2023
/
Bashir Rastegarpanah
Monitoring Natural Language Processing and Computer Vision Models, Part 3
Deep Dives
Predictive AI
February 1, 2023
/
Ankur Taly
Expect the Unexpected: Why Model Robustness Matters
Deep Dives
Predictive AI
December 15, 2022
/
Amal Iyer
Monitoring Natural Language Processing and Computer Vision Models, Part 2
Deep Dives
Predictive AI
October 3, 2022
/
Bashir Rastegarpanah
Monitoring Natural Language Processing and Computer Vision Models, Part 1
Deep Dives
Predictive AI
August 1, 2022
/
Murtuza Shergadwala
Detecting Intersectional Unfairness in AI: Part 2
Deep Dives
Predictive AI
May 16, 2022
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Murtuza Shergadwala
Measuring Data Drift with the Population Stability Index (PSI)
Deep Dives
April 4, 2022
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Murtuza Shergadwala
Detecting Intersectional Unfairness in AI: Part 1
Deep Dives
Predictive AI
May 13, 2021
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Avijit Ghosh
Measuring Intersectional Fairness
Deep Dives
February 5, 2021
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Malhar Jere
A Practical Guide to Adversarial Robustness
Deep Dives
May 14, 2020
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Marissa Gerchick
Identifying Bias When Sensitive Attribute Data is Unavailable: Geolocation in Mortgage Data
Deep Dives
Predictive AI
May 1, 2020
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Marissa Gerchick
Identifying Bias When Sensitive Attribute Data is Unavailable: Exploring Data From the Hmda
Deep Dives
Predictive AI
April 24, 2020
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Ankur Taly
[Video] AI Explained: What are Integrated Gradients?
Deep Dives
Predictive AI
March 20, 2020
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Ankur Taly
AI Explained Video Series: What are Shapley Values?
Deep Dives
Predictive AI
March 5, 2020
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Ankur Taly and Aalok Shanbhag
Understanding Counterfactual and Attribution Explanations in AI
Deep Dives
March 4, 2020
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Marissa Gerchick
Identifying Bias When Sensitive Attribute Data is Unavailable: Techniques for Inferring Protected Characteristics
Deep Dives
Predictive AI
August 13, 2019
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Dan Frankowski
Integrated Gradients vs SHAP: How Should You Explain Your Predictions?
Deep Dives
July 31, 2019
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Dan Frankowski and Ankur Taly
Causality in Model Explanations and in the Real World
Deep Dives
July 22, 2019
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Dan Frankowski
Debugging Predictions Using Explainable AI
Deep Dives
June 3, 2019
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Dan Frankowski
A Gentle Introduction to GA2Ms - A White Box Model
Deep Dives
May 8, 2019
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Dan Frankowski
Humans Choose - AI Does Not
Deep Dives
April 23, 2019
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Dan Frankowski
A Gentle Introduction to Algorithmic Fairness
Deep Dives
Predictive AI
