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
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
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
Request demo
Fiddler Blog
Krishna Gade and Amit Paka
Fiddler Series C: The Control Plane Moment for AI
Announcing our $30M Series C to power the Control Plane for AI agents.
Read blog
Browse by categories
Bias and Fairness in AI
Community
Company
Culture
Data Science
Engineering
Explainable AI
Generative AI and LLMOps
MLOps
Model Monitoring
Product
Responsible AI
Use Case
Search
December 14, 2023
/
Danny Brock and Greg Stachnick
Building RAG-based AI Applications with DataStax and Fiddler
Product
Generative AI and LLMOps
November 28, 2023
/
Amit Paka and Danny Brock
Achieve Enterprise-Grade LLM Observability for Amazon Bedrock with Fiddler
Generative AI and LLMOps
Product
November 7, 2023
/
Karen He
Monitor and Analyze LLM Hallucinations, Safety, and PII with Fiddler LLM Observability
Product
Generative AI and LLMOps
October 12, 2023
/
Karen He
AI Observability: Find the Root Cause of Model Issues with Actionable Insights
MLOps
Product
October 9, 2023
/
Shohil Kothari
Building Generative AI Applications for Production
Generative AI and LLMOps
MLOps
September 29, 2023
/
Amit Paka
How to Monitor LLMOps Performance with Drift Monitoring
Generative AI and LLMOps
August 31, 2023
/
Shohil Kothari
Graph Neural Networks and Generative AI
Generative AI and LLMOps
August 17, 2023
/
Amit Paka
Four Ways that Enterprises Deploy LLMs
Generative AI and LLMOps
August 15, 2023
/
Karen He and Anushrav Vatsa
Accelerating the Production of AI Solutions with Fiddler and Databricks Integration
Company
MLOps
Model Monitoring
August 10, 2023
/
Bashir Rastegarpanah and Karen He
Fiddler Report Generator for AI Risk and Governance
Data Science
Responsible AI
Product
July 21, 2023
/
Shohil Kothari
Machine Learning for High Risk Applications
MLOps
July 10, 2023
/
Amal Iyer and Karen He
Evaluate LLMs Against Prompt Injection Attacks Using Fiddler Auditor
Generative AI and LLMOps
Data Science
July 6, 2023
/
Krishna Gade
Dentsu Ventures Invests in Fiddler, Enabling Responsible AI
Company
June 30, 2023
/
Shohil Kothari
AI Safety in Generative AI
Generative AI and LLMOps
June 6, 2023
/
Karen He
91% of ML Models Degrade Over Time
MLOps
Model Monitoring
June 1, 2023
/
Krishna Gade
Mozilla Ventures Invests in Fiddler, Fueling Better AI Trust
Company
May 31, 2023
/
Mary Reagan
Thinking of AI as a Public Service
Generative AI and LLMOps
May 30, 2023
/
Murtuza Shergadwala
Making Image Explanations Human-Centric: Decisions Beyond Heatmaps
Data Science
May 23, 2023
/
Sree Kamireddy and Karen He
Fiddler Introduces End-to-End Workflow for Robust Generative AI
Product
Generative AI and LLMOps
May 23, 2023
/
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
/
Mary Reagan
Best Practices for Responsible AI
Generative AI and LLMOps
Responsible AI
May 16, 2023
/
Mary Reagan
LLMOps: Operationalizing Large Language Models
Generative AI and LLMOps
MLOps
May 9, 2023
/
Mary Reagan
Legal Frontiers of AI with Patrick Hall
Responsible AI
May 3, 2023
/
Mary Reagan
Top 5 Questions on Responsible AI from our Summit
Community
Generative AI and LLMOps
Previous
Next
Subscribe to our newsletter
Monthly curated AI content, Fiddler updates, and more.