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AI assurance and audit specialists

4 published entries are classed as AI assurance and audit specialist: firm whose main service is auditing or assuring AI systems. They are headquartered in 3 countries.

AI product type
Testing service
Country (HQ or delivery)

Showing 4 of 4. Default order: coverage score, then name. How the score works.

Entries on this page: AI assurance and audit specialists
RankCompany typeAI products (as stated)ServicesVerified
29AIDX TechAI assurance and audit specialistSingapore, Singapore
LLM applicationsAI agentsVoice AIComputer vision
482026-11-09
40Fairly AIAI assurance and audit specialistCanada, Kitchener
LLM applicationsPredictive ML modelsAI agents
362026-11-09
61Trilateral ResearchAI assurance and audit specialistUnited Kingdom, London
Predictive ML models
342026-11-09
86Anekanta AIAI assurance and audit specialistUnited Kingdom
Computer vision
122026-11-09

What this company type states it tests

Product types by service, counted over the entries on this page.

Coverage matrix for AI assurance and audit specialist
Product typeLLM output evaluationRAG pipeline validationPrompt and model regression testingRed teaming and adversarial testingAI security penetration testingBias and fairness auditCompliance and conformity assessment supportML model validationTraining data and labeling QAPerformance and latency testingConversational flow testingProduction monitoring and drift testing
LLM applications100212100000
AI agents100212100000
Voice AI100111000000
Computer vision100111100000
Predictive ML models000102111000
Recommender and ranking systems000000000000
Generative media000000000000
Document AI000000000000
Autonomous and embedded AI000000000000

HQ countries of this type

Questions

What should you ask before hiring an AI bias auditor?

Ask whether the auditor is independent of the system's developer, which metrics and legal standards the audit follows, what data it needs from you, and whether the summary can be published if a law requires it.

What is an algorithmic audit, and how does it differ from a bias audit?

An algorithmic audit reviews a whole automated decision system: its purpose, data, accuracy, transparency, governance and impacts. A bias audit is a narrower measurement of outcome differences across groups and is often one part of an algorithmic audit.