Standard telemetry
Collect standardized telemetry from agent interactions across the lifecycle so teams can inspect what happened and where it happened.
Fiddler AI
ReclamarFiddler AI is an enterprise AI observability and security platform for production agentic systems, with evaluation, monitoring, inline guardrails, and governance.
Overview
Fiddler AI is an enterprise AI observability and security platform built as a control plane for AI agents. It combines telemetry, evaluation, monitoring, guardrails, and governance so teams can understand what agents are doing and enforce policy at runtime.
The product is aimed at organizations running agentic and predictive AI in production, including coding agents and multi-agent workflows. Its materials emphasize visibility across the agent hierarchy, root-cause analysis with execution context, and inline enforcement through the gateway an enterprise already runs.
Core capabilities
Reliable evaluation
Run evaluations during development to test agents before deployment, including experiments and quality checks.
Continuous monitoring
Monitor production behavior with alerts, dashboards, and hierarchical visibility from application down to span.
Enforceable policy
Apply inline guardrails at the request and response path to block harmful inputs and outputs before they move through the system.
Auditable governance
Keep complete evidence for review with an auditable trail across the agent fleet and support for governance workflows.
Fleet intelligence
Analyze usage, spend, latency, throughput, and adoption by developer, model, and team to connect performance with operating cost.
Common use cases
Production readiness for customer agents
Teams building customer-facing agents can evaluate behavior before launch, then monitor production for hallucinations, toxicity, PII/PHI, and jailbreak attempts.
Coding agent safety controls
Organizations with coding agents can use gateway-based inline enforcement to block sensitive data from reaching the model or leaving in responses.
Regulated AI oversight
Healthcare, financial services, and other regulated teams can retain audit trails and governance evidence for review and oversight.
Multi-agent visibility and debugging
Multi-agent systems can be monitored across the application, session, agent, trace, and span levels to reveal dependencies and failure points.
Cost and performance analysis
Platform teams can compare token usage, spend, latency, throughput, and adoption across developers, models, and teams to understand operational cost.
Pros and Cons
Pros
- Combines observability, guardrails, and governance in one platform rather than treating them as separate tools.
- Supports both development-time evaluation and production monitoring across the agent lifecycle.
- Offers inline enforcement at the request and response path, not just post-hoc scoring.
- Provides hierarchical visibility from application to session, agent, trace, and span.
- Includes deployment options for SaaS, VPC, and on-premise environments.
Cons
- The public sources provide limited detail on named integrations beyond OTel and a few framework examples.
- Pricing is only partially transparent: a free guardrails tier and a Developer per-trace price are listed, while Enterprise requires contact sales.
FAQ
What is Fiddler’s AI Control Plane?
Fiddler positions its Control Plane as a system for standardized telemetry, reliable evaluation, continuous monitoring, enforceable policy, and auditable governance across the AI agent lifecycle. The source describes it as adding enforcement and governance, not just monitoring.
Who is it for?
The source says it is meant for enterprises running AI agents in production, including coding agents and multi-agent workflows. It focuses on visibility, context, control, and runtime guardrails for agentic systems.
What does the platform help teams do?
The product combines development-time evaluations, production monitoring, inline guardrails at the request and response path, and audit trails. It also exposes agent-level telemetry such as token usage, spend, latency, throughput, and adoption.
Does Fiddler publish pricing?
The pricing page shows a Free plan for real-time guardrails, a Developer plan priced at $0.002 per trace, and an Enterprise plan with contact sales pricing. The product pages also describe SaaS, VPC, and on-premise deployment options.
How does it fit into existing systems?
The source names Native OTel support and mentions compatibility with frameworks such as LangGraph, Amazon Bedrock, AWS Strands Agents, and Google ADK. It also says the Control Plane can integrate with the LLM gateway an organization already operates.
Quick Facts
- Category
- AI observability and security platform
- Primary use
- Control plane for enterprise AI agents
- Deployment
- SaaS, VPC, or on-premise
- Pricing
- Free, Developer, and Enterprise plans
- Website
- fiddler.ai
- Notable workflow
- Evaluation in development plus monitoring and guardrails in production