Our work
15+ industries audited | 7+ AI system types (ML, GenAI, RAG…) | End-to-end from data to monitoring
Industries
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Healthcare
AI in diagnosis, triage and care delivery where patient safety is paramount.
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Diagnostics support
Medical devices
Triage tools
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Government
Risk scoring, benefits allocation and public-service AI with transparency and recourse.
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Risk scoring
Resource allocation
Data protection
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Recruitment & HR
Auditing hiring AI to reduce bias and comply with anti-discrimination requirements.
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Screening tools
Assessment platforms
Bias
Industry detail
Healthcare
When AI supports diagnosis, triage or care decisions, patient safety and clinical effectiveness are paramount, and systems are often high-risk under regulation.
We work with hospitals, device manufacturers and digital health teams to evaluate AI systems on real clinical data, with clear, accountable human oversight.
Our healthcare audits focus on false negatives and false positives, subgroup performance, documentation for regulators, and the human-in-the-loop workflows surrounding each model.
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Diagnostics support, medical devices, clinical triage tools, companion decision-support
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Predictive ML, Computer Vision, GenAI for summaries / UX
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Audit, Bias testing, Impact assessment, Monitoring.
Healthcare case studies
Industry detail
Government
When AI informs public decisions, from allocating social support to assessing risk, fairness, accuracy, and accountability are essential, especially as many systems become high-risk under emerging regulation.
Government teams use our audits to understand how models behave with real populations, where disparities may appear, and whether governance and data practices meet public-sector standards.
Our work focuses on subgroup performance, potential bias, documentation for oversight bodies, and the human workflows surrounding each system to ensure AI strengthens public services rather than reinforcing existing inequities.
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Resource allocation, Risk scoring, Data protection, Emergency services.
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Predictive ML, ML hybrids.
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AI audit, community-led audits, risk assessment, governance playbooks.
Government case studies
Industry detail
Recruitment & HR
When AI screens candidates or ranks applicants, fairness, transparency, and legal compliance are critical, and errors can quickly scale into systemic discrimination across hiring pipelines.
HR and recruitment teams use our audits to understand how models treat different demographic groups, where bias can emerge, and whether data practices and documentation align with employment and equality regulations.
Our assessments focus on subgroup performance, feature and data risks, explainability for hiring stakeholders, and governance processes that ensure AI-supported recruitment is consistent, defensible, and genuinely merit-based.
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Screening tools, assessment platforms, trial design optimization, evidence generation.
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Predictive ML, ML hybrids.
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AI audit, explainability documentation, governance playbooks.
Recruitment & HR case studies
