Fiddler AI

Fiddler Agentic Observability is Now Available! Our unified #AI Observability and #Security platform is built to optimize the entire agentic lifecycle from evaluation to production monitoring. Fiddler #AgenticObservability lets you: ⚡️ See Every Action:  Gain visibility from the application level → to the session → to the agent → to the trace → and down to the span. 🧠 Understand Every Decision: Diagnose and identify failures through the agentic hierarchy to find the "why" that other tools miss. 🎛️ Control Every Outcome: Use our Native Fiddler Trust Models for securely running out-of-the-box and custom evaluators in your environment, eliminating external #API costs. Learn what unified #AIObservability and Security can do for you: fiddler.ai/agentic-observ… #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent

We'll be at NVIDIA GTC next week from March 16-19th! Drop by our booth to meet us and learn about how unified AI observability can help the project you're working on, or just to chat about AI Agent Security. #nvidiagtc #aiobservability #aiagents #agenticAI #llmsafety #aisafety #trustworthyAI

Enterprises aren’t asking “can we build agentic systems?” anymore. They’re asking “can we trust them?” If you missed our recent AI Explained fireside chat on “How to Prevent Rogue Agents and Accelerate Enterprise AI Deployment,” Krishna Gade (CEO, Fiddler AI) and David Kenny (Executive Chairman, Nielsen) broke down why “rogue” agent behavior usually isn’t a mystery failure, it’s an infrastructure gap: Agentic systems can look “healthy” in dashboards while customers experience: 📍 incorrect or inconsistent answers 📍 policy violations and unsafe outputs 📍 ballooning cost + latency from runaway tool/model calls The fix: build a control plane early. David’s analogy nails it: You can’t improve what you can’t see - and you can’t enforce what you can’t measure. If you want the full blueprint, the recap is live on our blog: fiddler.ai/blog/prevent-r…

Today we’re announcing our $30M Series C, led by RPS Ventures, bringing our total funding to $100M. This milestone reinforces our conviction, validated by customers and backed by investors: AI systems won’t be operable or trusted at scale without an enterprise-ready Control Plane for AI. Making AI systems operable, governable, and trustworthy at scale is no longer optional; it is the prerequisite for adoption. That's the Control Plane for AI, providing the visibility and authority teams need across the agentic lifecycle with: + Standardized telemetry + Reliable evaluation + Continuous monitoring + Enforceable policy + Auditable governance We’re proud to be backed by long-term partners who see the same shift and are aligned on what comes next, including RPS Ventures, Insight Partners, Lightspeed Ventures, Lux Capital, Dallas Venture Capital, ISAI Cap Ventures, Dentsu Ventures, Mozilla Ventures, BGV, LDV Partners, and LG Ventures. Read our co-founders @krishnagade and @amitpaka blog to learn more about our vision for building the Control Plane for AI: fiddler.ai/blog/series-c?… Link to press release: fiddler.ai/press-releases…

@krishnagade will speak at the Davos AI Summit 2026 (AI House Davos) Some themes Krishna will cover how enterprises can: 📍 See what an AI system is doing, in real time 📍 Trace decisions end-to-end across models, agents, and tools 📍 Govern systems at scale, across teams, clouds, and regulators, without slowing execution We will be sharing lessons from Fiddler AI working at the front lines of building a Control Plane for AI Agents, and why trusted AI infrastructure will be as foundational to this decade as cloud observability was to the last. #Davos #AISummit #AgenticAI #AIInfrastructure #AIGovernance #EnterpriseAI #TrustInAI

The Office of Management and Budget issued Memorandum M-26-04, implementing Executive Order 14319 on Increasing Public Trust in Artificial Intelligence Through Unbiased AI Principles. This memo mandates federal agencies to adopt minimum practices for governing AI systems. Key takeaways: 📍 Enhanced AI transparency measures include public reporting, third-party evaluations, and appeal mechanisms for impacted individuals 📍 AI systems must be in compliance by March 11, 2026 with factual, accurate outputs that acknowledge uncertainty 📍 AI systems must issue nonpartisan responses without ideological manipulation If you're interested in increasing transparency and trust in AI read the full blog: fiddler.ai/blog/omb-m-26-…

Building AI systems for enterprise scale? Check out our upcoming session showing how to track, evaluate, and improve agent performance with agentic observability. Learn how agentic observability gives you: 📍End-to-end visibility into agent performance across the stack 📍Custom + out-of-the-box evaluators to monitor span-level health 📍Hierarchical root-cause analysis for rapid failure detection 📍Additional capability that adds to existing agentic stack and frameworks 📅 Live on Dec 11. Register here: fiddler.ai/webinars/enter… #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent

Fiddler AI has been selected as a launch partner for the Amazon Web Services (AWS) Pattern Partners program. Our joint work with AWS focuses on agentic observability and Responsible AI, giving enterprises a repeatable blueprint for scaling trustworthy AI. The Pattern Package provides validated architectures, guardrails, and coordinated support from AWS and Fiddler teams, helping customers move from pilot to production with strong governance and security. We are thankful to Kuldeep Singh, Shonil Kulkarni, and all our AWS partners - we look forward to co-developing and scaling with AWS! Learn more about our participation here: fiddler.ai/blog/aws-patte… #AWSPatternPartners #AWSPartners #AWS #GenerativeAI #AgenticAI #EmergingTech #AIobservability #AI #ML #LLM #AIAgents

💌 Product Webinar Invite: Visibility, Context & Control for Enterprise Agents Join product leaders Wil Pong, Karen He, and Nick Nolan to see how Agentic Observability can give your enterprise end-to-end insight and real-time control over AI agents. 📅 When: December 11, 2025 | 10 AM PT / 1 PM ET In this live product walkthrough, you’ll learn how to: 📍 Monitor spans with custom & out-of-the-box evaluators 📍 Diagnose failures with hierarchical root-cause analysis 📍 Plug into popular frameworks for full-stack visibility 🎥 All registrants receive an on-demand recording, even if you can’t attend live. Register now 👉 fiddler.ai/webinars/enter… #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent

We are heading to AWS re:Invent in Las Vegas, bringing unified Agentic Observability to teams that refuse to fly blind. AI agents that look good in tests can still fail in production. That gap puts your operations at risk. Fiddler Agentic Observability gives you full visibility, context, and control so your agents can perform in every scenario. If you want your AI agents performing at their peak, connect with us at AWS re:Invent or set up a virtual meeting now. buff.ly/wSUiRyb #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #EthicalAI #AIObservability

🎯 Building agents? Join us Dec 11 for a live demo of Fiddler’s Agentic Observability platform with Wil Pong (VP of Product) and Karen He (Principal PMM) at Fiddler AI. See how to: ✅ Run agent evaluations during dev and prod ✅ Monitor performance, risk, and cost across spans ✅ Use Trust Models or Bring Your Own Judge ✅ Debug issues with hierarchical root-cause analysis Fiddler unified observability helps you operationalize agents with system-wide visibility and real-time insights so you can move from prototype to production. 🔗 Save your spot and also get access to the replay: fiddler.ai/webinars/enter… #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent

Are you shipping AI agents that your system flags as "healthy," even when they're failing in production? Fiddler Agentic Observability closes this go-live gap by providing the unified platform you need to maintain full visibility, context, and control. With Fiddler, you can: 🎯 Test What Matters: Evaluate agents with curated datasets and run experiments before launch. 🕵️‍♀️ Catch Hidden Failures: Get full visibility into reasoning chains, dependencies, and cross-agent coordination that traditional monitoring tools can’t see. 🔍 Find the Root Cause: Diagnose and pinpoint issues across the entire agentic hierarchy. 🎛️ Control Costs: Eliminate hidden costs related to calling external models with our “batteries included” Fiddler Trust Models and maintain data privacy. See how Fiddler Agentic Observability can help: fiddler.ai/agentic-observ…

Agentic systems break traditional monitoring frameworks. Legacy tools aren’t built to handle dynamic reasoning, decision chains, and multi-agent complexity. Fiddler Agentic Observability provides visibility, context, and control to help enterprises to: 👁️ See every interaction across sessions, agents, traces, and spans 🎢 Score in-environment for a variety of metrics - no hidden costs from external API calls 📊 Monitor reasoning paths, tool calls, and behavior in real time 🕵️‍♀️ Diagnose root causes and reduce time to resolution with deep analytics Read the full datasheet to build safer and high-performing agents. Download here→ fiddler.ai/resources/ente… #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails

🎯 As autonomous agents make more powerful decisions, how can you trust them? Unlike traditional deterministic workflows, multi-agent AI systems operate autonomously and reflectively, making decisions that are hard to trust. That’s why we built Agentic Observability; to establish visibility, context, and control across the entire agentic lifecycle. With Fiddler, you can: ✅ Evaluate performance in development ✅ Monitor performance and behavior in production ✅ Understand why agents act,  not just what they do ✅ Avoid hidden costs from external API calls with safe in-environment scoring Fiddler creates a continuous feedback loop to build better, safer, and more cost-effective agentic applications. Read the full blog here → fiddler.ai/blog/end-to-en… #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent

Fiddler is heading to NVIDIA GTC to explore the future of agentic AI! Stop by our booth I-21 to experience how our AI Observability platform provides: ✔️ Unified visibility into multi-agent systems ✔️ A purpose-built platform to monitor hallucinations, jailbreaks, safety issues, and more ✔️ Custom-built Trust Service models that can surface and address risks proactively Let’s chat about how to build secure, responsible AI! 📍 Washington, D.C. | October 28–29 📦 Booth #I-21 #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails #AIAgent

Ever see an #AIagent ace tests, only to fail unpredictably with real users? There’s a major blind spot in the end-to-end #AIworkflow. Teams use one set of tools for pre-production and another for monitoring. This disconnect means valuable lessons from live user interactions are lost, instead of used to improve the model. At Fiddler, we've closed that loop. Our Agentic Observability platform now connects the entire AI lifecycle, creating a continuous feedback loop from evaluations to monitoring and improvement With Fiddler, you can: ✅ Test agents rigorously against curated datasets before deployment. ✅ Monitor live performance to catch issues like #hallucinations and drift in real-time. ✅ Turn production insights into better evaluations, building safer and more reliable agents. Learn more: fiddler.ai/agentic-observ… #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails

Catch the full replay of AI Explained: Building Agents at Scale — now available on demand! Wil Pong (VP of Product at Fiddler AI) and Gary Stafford (Principal Solutions Architect at AWS ) dive deep into how teams are designing agentic workflows, managing LLM reliability, and scaling with trust. Watch the full session now: fiddler.ai/webinars/ai-ex…

AI agents are becoming core to how enterprises operate - but to unlock their full potential, organizations need a new layer of visibility and trust. Our founder Krishna Gade recently joined Cognizant's 'The Agent Effect' podcast to talk about how agentic workflows are moving from prototype to production, and why observability is the key to making that transition real. Learn how companies are layering agentic AI onto existing systems, what it takes to evaluate performance and mitigate risks at scale, and how we’re helping customers do this today at Fiddler. With AI agent complexity growing fast, it’s never been more important to understand what’s happening behind the scenes. If you're thinking about deploying agents in your enterprise - or making your GenAI stack more robust tune in to the episode! Apple Podcast: cgnz.at/6044svocQ

💌 Webinar Invite: Building Agents at Scale – Lessons from the Front Lines Join us for a special AI Explained Webinar with Gary Stafford, Principal Solutions Architect at AWS, to explore how multi-agent systems are transforming enterprise automation and workflows. 📅 When: This Thursday, September 25, 10 AM PT / 1 PM ET Register at the link below to join live or receive a recording afterward 👇 fiddler.ai/webinars/ai-ex…

We are excited to announce Kosmo, our astronaut mascot, symbolizing exploration into AI’s vast frontier — bringing trust and clarity to every step of the journey. Akin to a guardian of the galaxy, Kosmo oversees the AI universe: walking new paths, shining a light on and fixing complex issues, and keeping your AI systems in balance. As the pilot of Fiddler’s control plane, Kosmo acts as a responsible guide, protecting from risk, and enforcing policy. The name comes from the Greek word for “harmony” or “universe.” As we are all on the new frontier of agentic AI, Fiddler Agentic Observability gives you complete aggregate and granular visibility into AI agents — from overall application health down to individual spans. Join the agentic observability waitlist to see every action, understand every decision, and control every outcome. ✦ fiddler.ai/agentic-ai-wai… ✦ #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #AIObservability #Guardrails #LLMGuardrails