Holistic AI vs ModelOp

Holistic AI is an enterprise AI governance platform founded in 2020 and spun out of University College London by Dr. Adriano Koshiyama and Dr. Emre Kazim. Headquartered in London with a US presence, Holistic AI provides model discovery, risk assessment, bias and robustness testing, and continuous monitoring across an organization's AI portfolio — including agents, LLMs, and classic ML. The company has built a strong research footprint in algorithmic auditing.

ModelOp provides a centralized platform for managing the full AI lifecycle, from intake to retirement, for ML, GenAI, Agentic AI, and vendor models. It offers a single system of record for AI inventory, automates policy enforcement and workflows, enables continuous monitoring for risks like bias and drift, and generates audit-ready reports. Targeted at complex regulated enterprises, it integrates with existing systems to accelerate AI deployment while ensuring compliance and control across teams. Distinct from MLOps tools or GRC systems, ModelOp orchestrates governance end-to-end, supporting internal and third-party AI at scale.