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Real-World Impact

RAI Tracker isn’t built in isolation. Our founder’s doctoral research in AI Ethics at the University of Portsmouth brings academic depth to real-world implementation. With 20+ years of experience deploying AI across government and enterprise, we know what works in practice. Currently piloted with the UK Home Office and supported by AWS and Microsoft, RAIT combines research-driven rigour with hands-on delivery — bridging theory and practice in Responsible AI.

Public Sector - Home Office Pilot

We’re piloting RAIT with the UK Home Office and Microsoft, proving continuous Responsible AI monitoring works — even in the UK’s toughest regulatory environments.

UK Public Sector

We’re working with NHS trusts, GDS, and DSIT to turn AI ethics into practice through the University of Portsmouth’s RAI Lab — driving the shift from guidelines to real-world implementation.

Academic Research

Our approach is rooted in research working with the Doctoral Research team at the University of Portsmouth. Our founder’s ongoing research on Responsible AI studies shapes RAIT’s 15 ethical dimensions and 118 metrics, helps turn academic evidence into RAIT's practical operating model.

RAIT's Wider Impact

When high-stakes government departments adopt continuous RAI monitoring, it sets a national precedent. Backed by our research and the University’s RAI Lab, we’re not just serving clients — we’re defining how Responsible AI is implemented across the UK public sector and beyond.

What makes us unique

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Ethical Compliance

We ensure our clients meet ethical compliance through our extensive metrics, leading to transparent operations that align with regulations and foster public confidence.

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Efficiency Gains

Our workflows are designed to enhance efficiency by streamlining AI service operations, ensuring organisations can focus on innovation without compromising quality or ethics.

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User Trust

Trust is built through our comprehensive reporting and compliance processes, which provide organisations and users clarity on the performance and integrity of AI services.

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