Fiddler AI
by Fiddler Labs, Inc.
Build Trust Into AI
Fiddler AI is an enterprise AI observability, security, and governance platform that acts as a control plane for machine learning models, generative AI applications, and autonomous agents.
Founded in 2018 by Krishna Gade (CEO) and Amit Paka (COO), Fiddler AI provides an all-in-one AI Control Plane for enterprise agents, delivering observability, security, and governance across the agentic lifecycle. The platform offers end-to-end visibility across the agentic hierarchy, root cause analysis with full execution context and decision lineage, and continuous monitoring from testing through production. Its security layer enforces inline guardrails at the request/response path with PII, PHI, and secrets detection and redaction via Fiddler's purpose-built evaluation models. Fiddler also provides AI governance, risk management, and compliance controls, along with bias mitigation and responsible AI practices. It targets regulated enterprises in government, healthcare, insurance, and financial services, with named customers including Nielsen, the U.S. Navy, Mastercard, Ally, DTCC, and American Family Insurance.
At a Glance
- Category
- Governance & Security
- Pricing
- subscription, usage-based, custom-quote
- Target Market
- Enterprise, Government, Financial Services, Healthcare, Insurance
- Founded
- 2018
- Headquarters
- Palo Alto, California, USA
Key Features
- ✓AI Observability & Monitoring
End-to-end visibility across the agentic hierarchy with continuous monitoring from testing to production, plus root cause analysis with full execution context and decision lineage.
- ✓Inline Guardrails & Security
Real-time guardrails enforcement at the request/response path, including PII, PHI, and secrets detection and redaction.
- ✓Model Performance & Drift Monitoring
Detection of model drift, data quality issues, bias, and performance degradation with real-time alerting.
- ✓AI Governance & Compliance
Auditable governance, centralized accountability, risk management, and compliance controls for responsible AI.
- ✓Evaluation Models
Fast, low-cost Fiddler evaluation models for real-time policy enforcement and LLM/agent quality scoring.
Capabilities
Use Cases
- •Production ML model monitoring
Enterprises monitor deployed machine learning models for drift, bias, and performance degradation to maintain accuracy and trust over time.
- •LLM and agent observability
Teams gain full-trace visibility into generative AI and autonomous agent behavior, diagnosing failures with execution context and decision lineage.
- •AI governance and compliance
Regulated organizations enforce guardrails, redact sensitive data, and maintain auditable records to meet responsible-AI and regulatory requirements.
Ideal For
Best For
- ✓AI model monitoring
- ✓LLM and agent observability
- ✓Responsible AI governance
- ✓Regulated enterprise AI deployments
Integrations
Deployment
Market Analysis
Pros
- ✓Clean interface with well-structured dashboards that make complex AI insights easy to understand
- ✓Real-time monitoring that quickly surfaces errors and bias
- ✓Strong fit for regulated enterprise governance needs
Cons
- ✗Can feel complex for beginners; onboarding could be more guided
- ✗Pricing can feel high for individual users or small projects
Pricing
Lite
Contact sales
- ✓Observability for 1 model
- ✓0.5 GB data/month
- ✓Basic support level
Enterprise
Custom (contact sales)
- ✓Full observability, security, and governance suite
- ✓Usage-based pricing
- ✓Multiple models
- ✓Premium support and deployment options
B2B SaaS subscription with usage-based pricing targeting regulated enterprises; specific dollar amounts are undisclosed and require a custom sales quote. A 14-day free trial is offered.
Sources
This page was written from 7 sources, 4 on domains other than fiddler.ai.
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