What is Fiddler AI?
Fiddler AI is an enterprise-grade AI observability platform that helps companies monitor, understand, and control their AI agents. It provides visibility across the entire agentic hierarchy, allowing teams to see actions, understand decisions, and control outcomes in both development and production.
Top Features:
- Complete Agentic Hierarchy Monitoring: tracks everything from sessions to agents to traces to spans in real-time.
- Guardrails System: includes 80+ ready-to-run metrics for safety, faithfulness, and PII protection.
- Root Cause Analysis: pinpoints why AI systems behave in certain ways through comprehensive diagnostics.
- Trust Models: helps optimize costs while maintaining performance standards across AI deployments.
Use Cases:
- AI Development: build reliable agentic systems with observability from the start.
- Production Monitoring: continuous tracking and course correction of deployed AI agents.
- Risk Management: identify and mitigate potential issues before they affect users.
- Cost Optimization: balance performance needs with computational resource usage.
Who Can Use Fiddler AI?
- AI Engineers: professionals building and deploying complex agent-based AI systems.
- Enterprise IT Teams: groups responsible for maintaining AI infrastructure at scale.
- Risk & Compliance Officers: individuals ensuring AI systems meet regulatory requirements.
- Product Managers: decision-makers balancing AI capabilities with business requirements.
Pricing
- Free: Real-time guardrails against hallucinations, toxicity, PII/PHI, prompt injection, jailbreaks. 100ms latency.
- Developer ($0.002 per trace): Everything in Free + unified AI observability, custom evaluators, visualizations, RBAC, SSO, SaaS.
- Enterprise (Contact sales): Everything in Developer + enterprise guardrails, scalability, flexible deployment, white glove support.
Pros and Cons
Pros:
- Comprehensive Visibility: provides deep insights across the entire AI agent lifecycle.
- Active Monitoring: enables continuous course correction unlike passive evaluation systems.
- Pre-built Metrics: comes with 80+ ready-to-use metrics saving implementation time.
- Customization Options: supports custom metrics for organization-specific needs.
Cons:
- Learning Curve: may require time to fully understand and implement effectively.
- Enterprise Focus: might be excessive for smaller teams with simpler AI needs.
- Integration Complexity: could require significant work to connect with existing systems.
FAQs:
1) How does Fiddler AI differ from other monitoring tools?
Fiddler AI provides active, continuous monitoring across the entire agent hierarchy rather than just surface-level metrics or passive evaluation.
2) Can Fiddler AI help reduce AI operational costs?
Yes, its Trust Models help optimize resource usage while maintaining performance standards, potentially lowering cloud computing expenses.
3) Is Fiddler AI suitable for companies just starting with AI?
It's designed for enterprise needs, but implementing it early can establish good observability practices from the start.
4) How does Fiddler AI handle sensitive data in AI systems?
It includes specific PII guardrails to detect and protect personally identifiable information processed by AI agents.
5) Can Fiddler AI integrate with custom-built AI systems?
Yes, it supports custom metrics and can be adapted to work with proprietary AI architectures and frameworks.