Fiddler AI
AI observability and monitoring platform for ML and LLM systems covering performance, drift, safety and explainability with usage based tiers.
Overview
Fiddler unifies monitoring, evaluation and governance for production AI. It ingests model and agent telemetry to watch latency, cost and quality while detecting drift, data integrity issues and emerging risks. Teams configure fairness and safety guardrails, run LLM as a judge evaluations and investigate failures with explainability tools.
Role based access, SSO and audit logs support regulated environments, and the platform scales from a lite tier to business and enterprise with private cloud options. Typical deployments include monitoring customer facing LLM chat, ranking models and fraud systems, correlating incidents to data slices and preventing regressions during releases. By consolidating dashboards and alerts across models, Fiddler helps organizations ship reliable AI faster and with clearer accountability.
Key features
- Unified monitoring for ML and LLM quality and drift
- Explainability tools to debug failures and bias
- Guardrails for safety fairness and PII protection
- LLM as a judge evaluations for complex tasks
- Role based access SSO and audit trails
- Usage based tiers with private deployment options
- Cost and latency tracking for optimization
- Integrations with popular MLOps stacks
Best for
- Monitor production LLM chat for hallucinations
- Detect drift in ranking and recommendation models
- Investigate incidents with slice based explanations
- Set guardrails to block unsafe or PII leaking outputs
- Correlate quality drops with data pipeline issues
- Track latency and cost regressions over releases
- Share dashboards with risk and compliance teams
- Prepare evidence for audits and certifications
Capabilities
Quality and drift
Track performance, drift and data integrity across models with alerts and detailed dashboards.
Root cause analysis
Use explainability to investigate failures, slices and bias then ship fixes with confidence.
Safety guardrails
Apply fairness, faithfulness and PII checks and block unsafe outputs in real time.
Enterprise controls
Adopt SSO RBAC audit logs and private cloud options to satisfy governance requirements.
Frequently Asked Questions
How does pricing start?
Fiddler lists usage based plans across Lite, Business and Enterprise with pricing provided on request.
Is there a free tier?
Vendors and reviews frequently reference a Lite option for individuals to start monitoring models.
Can it run in a private VPC?
Enterprise and Premium deployments support private cloud or VPC according to the pricing pages.
Does it cover LLMs and classic ML?
Yes, Fiddler brings one view for LLM applications and traditional models with shared guardrails.
What integrations are available?
Connectors exist for common MLOps tools, data warehouses and cloud platforms to simplify adoption.
