AIAI Governance StackFree kit

Fiddler AI vs Arthur

Both compete in Observability & Monitoring. Fiddler AI positions itself as “Enterprise AI observability, security, and governance control plane for models and agents”, while Arthurleads with “AI performance, evaluation, and governance platform for ML, generative, and agentic systems”. The table below compares what each publishes.

Where Fiddler AI pulls ahead

Publishes support for GDPR, which Arthur does not. Regulated enterprises needing a single platform for ML, LLM, and agent observability with strong explainability and governance/audit capabilities.

Where Arthur pulls ahead

Publishes support for SOC 2, which Fiddler AI does not. Enterprises operationalizing generative and agentic AI that want flexible deployment (SaaS, VPC, on-prem) and an open-source evaluation engine alongside governance controls.

Both map to EU AI Act, NIST AI RMF, HIPAA, so framework coverage alone will not separate them — the decision usually comes down to who operates the tool and how it fits your existing stack.

PositioningEnterprise AI observability, security, and governance control plane for models and agentsAI performance, evaluation, and governance platform for ML, generative, and agentic systems
CategoryObservability & MonitoringObservability & Monitoring
FrameworksEU AI Act, NIST AI RMF, GDPR, HIPAANIST AI RMF, EU AI Act, SOC 2, HIPAA
DeploymentSaaS, Cloud, On-prem, APISaaS, Cloud, On-prem, Open-source, API
Built forGRC, Compliance, Risk, Data Science / ML, SecurityData Science / ML, Compliance, Risk, Security
Founded20182018
HeadquartersPalo Alto, California, USANew York, New York, USA
OwnershipPrivate, independent; venture-backedPrivate, independent; venture-backed
FundingApproximately $100M total as of 2026; $30M Series C led by RPS Ventures (Jan 2026), following a $32M Series B (2021). Investors include Insight Partners, Lightspeed, Lux Capital, and Capgemini Ventures.Approximately $63M total across three rounds; $42M Series B (2022) led by Acrew Capital and Greycroft, with Index Ventures and Work-Bench. No publicly reported round since.
PricingEnterprise subscription; custom pricing via sales/demo (no public self-serve tiers)Self-serve SaaS tier plus enterprise subscription for VPC/on-prem; open-source Arthur Engine available free
Key capabilities
  • Model and agent performance monitoring
  • Drift and data-integrity detection
  • Real-time LLM guardrails
  • Explainability (XAI)
  • Bias and fairness tracking
  • Audit trails and governance dashboards
  • Pre-production, runtime, and production evaluations
  • Real-time guardrails (prompt injection, PII, toxicity)
  • Hallucination and groundedness detection
  • Agent trace visualization and tool-selection metrics
  • Drift and performance monitoring for classical ML
  • Open-source Arthur Engine
IntegrationsAmazon SageMaker, Google Cloud Vertex AI, NVIDIA NIM, NVIDIA NeMo Guardrails, Databricks, DatadogOpenAI, Anthropic Claude, Meta Llama, Google Gemini, Together.ai, CrewAI, AutoGen, smolagents, Slack, Jira
Notable customersBrex, BigaBidNone published
Best forRegulated enterprises needing a single platform for ML, LLM, and agent observability with strong explainability and governance/audit capabilities.Enterprises operationalizing generative and agentic AI that want flexible deployment (SaaS, VPC, on-prem) and an open-source evaluation engine alongside governance controls.
LimitationsEnterprise-focused with custom pricing and no transparent public tiers; the breadth across ML, LLM, and agents can mean a steeper setup and learning curve for smaller teams.Named enterprise references are limited publicly; funding has not advanced past its 2022 Series B, and the rapid pivot toward agentic AI means several governance features are relatively new.

Which should you shortlist?

Choose Fiddler AI if regulated enterprises needing a single platform for ML, LLM, and agent observability with strong explainability and governance/audit capabilities.

Choose Arthur if enterprises operationalizing generative and agentic AI that want flexible deployment (SaaS, VPC, on-prem) and an open-source evaluation engine alongside governance controls.

Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.

AI Governance Tool Selection Kit

A vendor-comparison worksheet plus EU AI Act, NIST AI RMF and ISO/IEC 42001 requirement checklists — so you can shortlist tools against the obligations that actually apply to you.

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