AI Model Support & Use Cases

Machine Learning

Recommender Systems

NLP

Classifiers

Forecasting

Computer Vision

Regression

Data Drift
Classification Rates
Root Mean Square
Precision & Recall
Many More

Generative AI

RAG Co-Pilots

GenAI Automation

Hallucination Rates
Data Security Controls
Acceptable Use Policies
Domain-specific Evals, inc. custom code
Inference & hallucination count
Pass & Fail rates for Toxicity, PII & Sensitive Data
Tokens & Model cost

Agentic AI

AI Agents

Groundedness Failure Rate
Trace Visualization & Analysis
Tool Selection Evaluation
Prompt/Response Relevance
Prompt Versioning & Testing
RAG & Agent Experimentation

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Built for production AI

Whether you operate in the cloud, across multiple clouds, or inside tightly controlled infrastructure, Arthur deploys where your AI systems live.

From fast-start SaaS to fully air-gapped environments, we support the security, compliance, and performance requirements of modern AI teams.

Talk to an AI Expert

On-Prem / Air-Gapped

Deploy Arthur entirely within your controlled infrastructure, including fully air-gapped environments with no external internet connectivity. Built for highly regulated industries such as financial services, defense, healthcare, and critical infrastructure.

AWS Deployment

Deploy Arthur directly into your AWS environment for full control over infrastructure, networking, and data residency. Arthur integrates natively with your existing AWS stack, including Bedrock, SageMaker, EKS, IAM, and VPC configurations.

GCP Deployment

Run Arthur inside your Google Cloud environment with seamless integration into your broader GCP ecosystem. Designed for teams building on Vertex AI, Kubernetes, or custom model pipelines inside GCP.

SaaS Deployment

Get started instantly with Arthur’s fully managed SaaS deployment.No infrastructure management required. Connect your models, agents, and data pipelines and begin evaluating, tracing, and governing production AI immediately.