Holistic AI vs Trustible

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.

Trustible provides an AI governance platform that centralizes inventory of AI use cases, models, agents, and vendors, enabling organizations to track and manage AI deployment across the enterprise. The platform supports risk-based triage for intake reviews, automated risk assessments with expert-curated taxonomies, policy management, and vendor evaluations to identify transparency gaps and risks. It maps governance controls across multiple frameworks including the EU AI Act, NIST AI RMF, and ISO 42001, generating audit-ready reports and evidence from actual workflows rather than self-assessments. Targeted at enterprises including Fortune 500 companies in financial services, healthcare, insurance, and consumer goods, Trustible helps cross-functional teams—risk, legal, tech, and business—accelerate low-risk AI while ensuring compliance and oversight for higher-risk systems. Distinct from general GRC tools, it embeds AI-specific intelligence like model transparency ratings and lifecycle coverage for incidents and modifications, operationalizing governance in weeks.Trustible homepage, Trustible platform, Technical.ly funding, LinkedIn, Trustible about