Arthur is an AI reliability platform that helps teams discover, govern, and innovate AI systems that perform and scale reliably. It provides a full lifecycle platform for ensuring reliable AI, covering agent discovery and governance, built-in guardrails, AI performance evaluation, and flexible deployment. Key features include continuous evaluation across the AI lifecycle, agent discovery and governance to enforce policies and ensure oversight, built-in guardrails to protect against misuse and off-brand interactions, support for any model (traditional ML, GenAI, or agentic systems), and flexible deployment options (SaaS, on-prem, GCP, AWS). Arthur also offers an Engine Toolkit for real-time monitoring and custom dashboards. Trusted by enterprise AI teams, it claims 99% reliability, 24/7 monitoring, and zero unwanted outputs.
Key Benefits
- Continuous evaluation of all AI interactions (24/7 monitoring)
- 99% reliability for AI that works every time
- Block problematic responses before they reach users
- Model agnostic, supporting traditional ML, GenAI, and agentic systems