Arthur vs Holistic AI

Arthur provides an AI Delivery Engine that enables teams to launch, secure, and optimize AI applications across the full lifecycle, from pre-production evaluations to runtime guardrails and production monitoring. The platform supports traditional machine learning, generative AI, and agentic AI with metrics for data drift, accuracy, hallucinations, toxicity, PII detection, and custom evals, while keeping sensitive data local via a federated data-control plane architecture. It targets enterprise AI teams in regulated sectors like banking, healthcare, and insurance, offering deployment flexibility (SaaS, on-prem, AWS, GCP) and integrations like webhooks to Slack/Jira. Distinct from peers, Arthur emphasizes agent discovery & governance and open-source Evals Engine components for real-time performance insights.Arthur homepage, Arthur platform, pricing, PR Newswire Series B, ZoomInfo, LinkedIn

Holistic AI provides an enterprise AI governance platform that unifies discovery, testing, monitoring, and compliance into a single system. The platform automatically discovers AI systems including shadow AI across cloud, code, data, and SaaS, maintains a live inventory, and tracks ownership and lifecycle. It offers continuous automated testing for bias, hallucinations, toxicity, privacy leaks, drift, security vulnerabilities like jailbreaks and adversarial attacks, along with runtime monitoring via workflow tracing and observability. Policy-as-code enforcement aligns with regulations, providing deployment gates, audit trails, and evidence collection for compliance reporting. Serving enterprises in regulated sectors, it distinguishes itself with comprehensive coverage from AI inventory to real-time agentic monitoring and policy enforcement at scale, backed by research origins at University College London.Holistic AI homepage, Holistic AI governance platform, Holistic AI about, Preqin profile, LinkedIn, CB Insights