{"ok":true,"domain":"fiddler.ai","site":"fiddler.ai","description":"","sitemap_declared":25,"pages_read":25,"pages_with_description":25,"text":"# fiddler.ai\n\n<!-- Draft generated by crawlcheck.io on 2026-10-25 from fiddler.ai's own homepage and sitemap.\n     A generated file is a link dump with titles as descriptions. Delete two-thirds of it, keep the pages someone would ask an assistant about,\n     and write the descriptions yourself - the value of this file is the choosing. Serve it at /llms.txt as text/plain and check the bare URL. -->\n\n## Pages\n- [Fiddler AI: The Control Plane for Enterprise AI Agents](https://www.fiddler.ai): The AI Control Plane for enterprises. Gain visibility, context, and control through evaluation, monitoring, enforcement, governance, and cost efficiency.\n- [Fiddler Blog | AI Observability, Agentic AI, Generative AI, Predictive AI](https://www.fiddler.ai/blog): Read product updates, data science research, and company news on AI observability, agentic AI, guardrails, and enterprise AI governance from Fiddler.\n- [Request a Demo of Fiddler AI Observability and Security Platform | Fiddler AI](https://www.fiddler.ai/demo): Launch high-performing, safe, and trustworthy agents, and generative and predictive applications. Request a demo of Fiddler AI Observability and Security Platform.\n- [Fiddler AI Observability for RAG-based Applications | Fiddler AI](https://www.fiddler.ai/tour): Explore Fiddler AI Observability for LLMOps and learn how to monitor toxicity and hallucination, and perform root cause analysis on a RAG-based chatbot.\n- [About Us | Fiddler AI](https://www.fiddler.ai/about): Building trust into AI. The Control Plane for AI Agents empowering enterprises. Learn about our mission, team, and commitment to secure, responsible AI.\n- [The Leader in AI Observability for MLOps | Fiddler AI](https://www.fiddler.ai/mlops): Optimize each stage of your MLOps lifecycle with Fiddler AI Control Plane. Quickly monitor, explain, and analyze model behaviors and improve model outcomes.\n- [Events, AI Summits, Workshops, & More | Fiddler AI](https://www.fiddler.ai/events): Fiddler AI strives to make machine learning and AI trustworthy and understandable. Find past and upcoming AI summits, workshops, and other events here.\n- [LLM Observability | Fiddler AI](https://www.fiddler.ai/llmops): Fiddler empowers AI teams with LLM observability, providing tools to monitor, analyze, and safeguard large language models (LLMs) and their applications.\n- [Careers | Fiddler AI](https://www.fiddler.ai/careers): Join us on our mission to build trust into AI. See what it’s like to work at Fiddler with our values and browse open roles across all functions.\n- [Plans and Pricing | Fiddler AI](https://www.fiddler.ai/pricing): Explore Fiddler’s simple and transparent pricing. Choose the plan that’s right for your AI journey to achieve responsible AI at scale.\n- [Newsroom | Fiddler AI News & Press Releases](https://www.fiddler.ai/newsroom): Explore recent news and press releases from Fiddler AI. Stay updated on funding announcements, product launches, and industry recognition.\n- [Partner with Fiddler | Fiddler AI](https://www.fiddler.ai/partners): Learn about the AI industry leaders we have partnered with to provide incredible experiences for our customers. Contact us today to partner with Fiddler AI.\n- [Security and Compliance | Fiddler AI](https://www.fiddler.ai/security): Enterprise-grade security and compliance for MLOps and explainable AI.\n- [Customers | Fiddler AI](https://www.fiddler.ai/customers): Learn how industry leading companies trust Fiddler AI Observability and Security platform to build trustworthy and responsible AI solutions.\n- [Resource Library | Fiddler AI](https://www.fiddler.ai/resources): Read, watch, and listen to Fiddler's latest research and appearance on topics such as Artificial Intelligence, Machine Learning Monitoring, Explainable AI, and Responsible AI.\n- [Fiddler Guardrails: Real-Time Policy Enforcement for Agents | Fiddler AI](https://www.fiddler.ai/guardrails): Fiddler Guardrails enforces enterprise AI policies in under 80ms, blocking jailbreaks, hallucinations, and unsafe outputs before they reach users or downstream systems.\n- [AI Agent Evaluations Across the Lifecycle | Fiddler AI](https://www.fiddler.ai/evaluations): Use Fiddler Centor Models for AI agent evaluation from pre-production to production. In-environment evaluation with 100% trace coverage and no external API costs.\n- [MLOps Resources | Fiddler AI Resources](https://www.fiddler.ai/topic/mlops): Operationalize the entire ML workflow with trusted model outcomes\n- [Build vs. Buy: The AI Control Plane | Fiddler AI](https://www.fiddler.ai/build-vs-buy): Weigh the real trade-offs of building your own AI evaluation, monitoring, guardrails, and governance versus buying a purpose-built AI Control Plane.\n- [Contact Us | Fiddler AI](https://www.fiddler.ai/contact-sales): Have questions about pricing, plans, or Fiddler? Talk to a Fiddler expert about AI observability and security.\n- [News | Fiddler AI](https://www.fiddler.ai/newsroom/news): Explore our news mention to see how Fiddler AI is shaping the world of artificial intelligence. You'll find recent AI and machine learning news to stay updated.\n- [Fiddler Centor Models | Evaluation & Policy Enforcement | Fiddler AI](https://www.fiddler.ai/centor-models): Fiddler Centor Models power agent and LLM evaluation and real-time policy enforcement. Secure AI evaluation models, no hidden costs.\n- [The Control Plane for AI Agents | Fiddler AI](https://www.fiddler.ai/control-plane): Fiddler is the Control Plane for AI agents, the system of trust to observe, enforce, and govern your agentic workforce.\n- [Fiddler Series C: The Control Plane Moment for AI | Fiddler AI Blog](https://www.fiddler.ai/blog/series-c): Fiddler announces a $30M Series C to power the Control Plane for AI Agents. Learn why agentic AI requires governance, policy, and continuous control to scale safely.\n- [Responsible AI | Fiddler AI](https://www.fiddler.ai/responsible-ai): Deliver responsible AI systems that help mitigate bias, support governance, and reduce risk. Build an AI-forward culture with responsible AI.\n","at":"2026-10-25T02:07:27.298Z","note":"A draft, not a publication. The checks that matter come after: serve it as text/plain, confirm the bare URL returns it, name it in robots.txt."}