Company Overview
Enterprise AI observability and security platform providing monitoring, guardrails, and control plane for AI agents.
Based in Silicon Valley (Palo Alto, CA), Fiddler AI offers its Fiddler AI Platform as a solution for organizations navigating the complexities of AI agent observability with session replay, debugging, and behavioral tracking. The platform is positioned within the broader AI Observability & Monitoring category, where AI Security Intelligence tracks 32 companies building specialized capabilities.
Founded in 2018, Fiddler AI brings several years of market experience to its current AI security positioning, having evolved its platform through multiple technology cycles.
Why Watch This Company
In the AI observability space, the gap between 'deployed' and 'understood' remains the biggest operational risk for enterprise AI. Fiddler AI addresses this gap through AI agent observability with session replay, debugging, and behavioral tracking — a capability that becomes increasingly critical as AI systems move from experimental deployments to mission-critical production workloads.
Key Facts
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Headquarters
Palo Alto, CA
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Category
AI Observability & Monitoring
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Key Product
Fiddler AI Platform
Primary Product
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Fiddler AI Platform
Enterprise AI observability and security platform providing monitoring, guardrails, and control plane for AI agents.
AI Observability & Monitoring Landscape
AI Observability & Monitoring →
AI Observability & Monitoring provides the instrumentation layer that lets organizations understand what their AI systems are actually doing in production. Unlike traditional application monitoring, AI observability must track model performance, data drift, hallucination rates, latency, cost, prompt-response quality, and behavioral anomalies — metrics that don't exist in conventional observability stacks.
32 companies tracked in this category
Buyer's Evaluation Framework
Key questions to evaluate any AI Observability & Monitoring vendor — including Fiddler AI:
Does the platform provide real-time monitoring of model performance, including hallucination detection, drift measurement, and response quality scoring?
Can the solution trace full request lifecycles across complex AI chains (RAG pipelines, multi-agent workflows, tool-calling sequences)?
How does the vendor handle cost optimization — can it track and attribute token usage, compute costs, and model efficiency?
Does the platform integrate with your existing observability stack and support OpenTelemetry standards?
Featured Profiles in AI Observability & Monitoring
Deep-dive intelligence profiles with full market analysis, development timelines, and product breakdowns.
📊 Funding History & Investment Rounds
👤 Executive Team & Key Hires
🎯 Competitive Positioning Matrix
📡 Signal Tracking — M&A, Product, Partnerships
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🔗 Supply Chain & Integration Mapping
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Category Peers — AI Observability & Monitoring
31 other companies in this category
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Arize AI
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Arthur AI
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Braintrust
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Censius
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Confident AI
San Francisco, CA
Darktrace
Cambridge, UK
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Datadog
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★ Featured Profile
Deepchecks
Tel Aviv, Israel
Dynatrace
Waltham, MA
★ Featured Profile
Galileo AI
San Francisco, CA
Helicone
San Francisco, CA
Humanloop
London, UK
Kolena
San Francisco, CA
Langfuse
Berlin, Germany
LastMile AI
San Francisco, CA
Lunary
San Francisco, CA
New Relic
San Francisco, CA
Patronus AI
San Francisco, CA
Portkey AI
San Francisco, CA
PromptLayer
New York, NY
RagaAI
San Francisco, CA
Scale AI
San Francisco, CA
Traceloop
Tel Aviv, Israel
Truera
Redwood City, CA
Vectra AI
San Jose, CA
Vellum AI
New York, NY
Weights & Biases
San Francisco, CA
WhyLabs
Seattle, WA