Arthur vs Fiddler AI
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified April 2026.
https://aicompliancevendors.com/compare/arthur-vs-fiddler-aiArthur
Performance and safety for LLMs and classic ML.
Arthur is an AI performance and safety platform founded in 2018 and headquartered in New York City. The platform provides monitoring, explainability, and bias detection for production ML, plus Arthur Shield for LLM firewall and red-teaming. Arthur raised a $42M Series B in September 2022 led by Acrew Capital and Greycroft, bringing total funding to approximately $56M.
Fiddler AI
AI observability and security for agentic and generative systems.
Fiddler AI is an AI observability and security platform founded in 2018 and headquartered in Palo Alto, California, by Krishna Gade, Amit Paka, and Manoj Cheenath. Fiddler focuses on production monitoring — drift, performance, fairness, explainability — and has extended into LLM observability and security for compound and agentic AI systems. Fiddler raised a $30M Series C in January 2026, bringing total funding to $100M.
What the data shows
We haven't published an editorial verdict on this pair yet. The comparison below is built from public vendor materials and our taxonomy — no editorialized ranking.
- Shared framework coverage: EU AI Act, GDPR Art. 22, NIST AI RMF
- Only Fiddler AI covers: Colorado AI Act, ISO/IEC 42001, NYC LL 144
- Shared capabilities: 7 of 9 listed.
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At a glance
| Attribute | Arthur | Fiddler AI |
|---|---|---|
| Founded | 2018 | 2018 |
| Headquarters | New York, United States | Palo Alto, United States |
| Employees | 51-200 | 51-200 |
| Funding | $56M total (Series B, September 2022) | $100M total (Series C, January 2026) |
| Pricing | Shield has a free tier; enterprise monitoring is contact-only. | Contact for pricing |
| Website | Visit site | Visit site |
Framework coverage
| Framework | Arthur | Fiddler AI |
|---|---|---|
| Colorado AI Act | — | Partial |
| EU AI Act | Partial | Partial |
| GDPR Art. 22 | Partial | Partial |
| ISO/IEC 42001 | — | Partial |
| NIST AI RMF | Partial | Partial |
| NYC LL 144 | — | Partial |
Capabilities
| Capability | Arthur | Fiddler AI |
|---|---|---|
| AI Model Inventory | ✓ | ✓ |
| Audit Evidence Collection | ✓ | ✓ |
| Bias & Fairness Testing | ✓ | ✓ |
| Explainability | ✓ | ✓ |
| LLM Guardrails & Content Filtering | ✓ | ✓ |
| LLM Red Teaming | — | ✓ |
| Model Monitoring | ✓ | ✓ |
| Policy Management | ✓ | ✓ |
| Risk Assessment Workflow | — | ✓ |
Industries served
Arthur
- Financial Services
- Healthcare
- Insurance
- SaaS & Technology
- Defense & National Security
Fiddler AI
- Financial Services
- Healthcare
- Insurance
- Government & Public Sector
- Employment & HR
- Retail & E-commerce
- SaaS & Technology
- Defense & National Security
Integrations
Arthur
- AWS SageMaker
- Google Vertex AI
- Databricks
- Snowflake
- OpenAI API
- Anthropic API
- GitHub
Fiddler AI
- AWS SageMaker
- Azure ML
- Google Vertex AI
- Databricks
- Snowflake
- MLflow
- Weights & Biases
- Okta
- OpenAI API
- Anthropic API
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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.