AI Delivery Engine | Launch, Secure & Optimize AI | Arthur

Ship Production-Ready AI Applications. Fast.

Monitoring across the entire AI lifecycle

Pre-production evals

Runtime inference evals

Always-on production evals

Trusted across your range of AI use cases

Machine Learning

Recommender Systems, NLP, Classifiers, Forecasting, Computer Vision, Regression

Generative AI

RAG Co-Pilots, GenAI Automation

Agentic AI

AI Agents

The only evals platform built on a Data Plane - Control Plane Architecture

Inference data never leaves your VPC. Only lightweight metrics flow to Arthur’s Control Plane for dashboards, alerts, and continuous improvement.

AI Applications

Arthur Evals Engine

Runs next to your workloads; keeps sensitive data local.

Only Anonymized Metrics Cross.

❌ No Sensitive Data Leaves

Centralized Control Plane

Centralized visibility & governance.

Discover how Arthur can help you build secure, reliable AI at scale.

Arthur’s team brings decades of applied, academic, and enterprise AI experience to support your AI initiatives.

FAQs

How does Arthur help ensure AI reliability and performance?

Arthur ensures AI reliability, security, and performance through offering robust continuous evaluation capabilities, enabling development teams to evaluate, monitor, and improve AI systems across their lifecycle, from development to deployment.

Who is Arthur built for?

Arthur is built for AI-driven organizations of all sizes, from startups to Fortune 100s, that need to ensure their AI systems are reliable, secure, and compliant.

What does "continuous evaluation" mean, and why is it critical for AI systems?

Continuous evaluation means testing, monitoring and improving AI systems at every lifecycle stage. It is essential because AI systems evolve with new data and user behavior. Without it, performance can drift and compliance risks may arise.

What kinds of AI systems does Arthur monitor?

Arthur monitors Traditional Machine Learning, Generative AI, and Agentic AI through a unified framework, ensuring consistent monitoring for AI workloads.

How does Arthur integrate with existing AI workflows and tools?

Arthur integrates seamlessly with existing AI workflows via an API-first design, supporting various deployment environments and providing quick setup.

How does Arthur handle data security and compliance requirements?

Arthur ensures that sensitive data never leaves the customer's environment through its federated control plane/data plane architecture.

What is unique about Arthur’s guardrails?

Arthur’s guardrails emphasize flexibility, customization, and performance, allowing users to fine-tune rules based on their unique use cases.

How is Arthur Evals Engine different from the Arthur Platform?

The Arthur Evals Engine is a deployable runner that allows evaluations locally, while the Arthur Platform provides a comprehensive environment for managing these evaluations.

How customizable are Arthur’s evals?

Arthur’s evaluations are highly customizable, supporting custom metrics for different AI systems tailored to organizational needs.

What’s the difference between SaaS VS enterprise?

Arthur offers both SaaS, which is easily accessible, and Enterprise solutions focused on customization and compliance for larger organizations.

How can Arthur be deployed?

Arthur supports multiple deployment options, ensuring sensitive data is managed securely within the organization's environment.

How does Arthur differ from traditional observability/evaluation platforms?

Arthur provides a federated architecture designed for enterprise needs, enabling unified monitoring across various AI systems while maintaining rigorous security and compliance.