Tool overview
Arthur AI is listed under AI Governance Safety & Evaluation AI tools.
What is Arthur AI?
Arthur AI provides evaluations, observability, monitoring, guardrails, and governance for machine-learning, generative-AI, and agentic systems. It supports APIs and SDKs plus managed SaaS, private VPC, BYOCloud, Docker, Kubernetes, and on-premises deployment.
Best for
Teams governing production models, LLM applications, and AI agents
Who is it for?
Decision note
A practical choice for teams that need one platform for evaluation, monitoring, and guardrails with deployment choices spanning SaaS and private infrastructure.
Key features
Continuous evaluations and production monitoring
Custom metrics, dashboards, and alerts
Python and JavaScript observability SDKs
SaaS, VPC, cloud, Docker, Kubernetes, and on-premises deployment
Use cases
Evaluate LLM and agent quality
Monitor production model performance
Apply AI guardrails and governance
Investigate drift, errors, and unsafe outputs
Pros
- Includes a free commercial tier
- Supports flexible private deployment
- Provides open-source Evals Engine separately
Limitations
Arthur surfaces quality, safety, and performance signals but does not replace domain review or risk ownership. Teams must define meaningful metrics, representative tests, access controls, and escalation procedures.
Pricing details
Billing options
Pricing note
Free costs $0 monthly for up to four monitored use cases. Premium costs $60 monthly and expands monitoring to 100 use cases with custom metrics and alerts. Enterprise is custom and adds dedicated or managed VPC, advanced security, SSO, SLAs, and support.
Supported languages
- English
Integrations
OpenTelemetry
OpenAI
Anthropic
LangChain
LiteLLM
Webhooks
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