About Entity Confidence
Our Team
Entity Confidence Ltd was founded by Hedley Basford MBA FCA and Tony Lord CEng MIET. Hedley’s background spans chartered accountancy and management consultancy. Tony is a chartered engineer specialising in IT. They have been working together for over 25 years.
Hedley Basford MBA FCA
Founder and CEO
Hedley gained an MBA from Cranfield School of Management. Previously he qualified as a chartered accountant (FCA) and worked with Arthur Andersen in London. After gaining his MBA he established his own management consultancy practice, working with small and large companies, helping them to become profitable and sustainable.
Tony Lord CEng MIET
Technical Director
Tony is a Chartered Engineer (CEng, MIET) and a member of the Institution of Engineering and Technology. He has a long history of undertaking research and development into electronic systems for aviation autolanding, medical CT scanners and specialised digital displays working with companies such as STC, GE Medical and Rank Xerox before turning to software and systems R&D. In recent years he has been developing and researching integrated software for business use.
How Entity Confidence Ltd began
The initiative to promote entity confidence arose from Hedley’s practical work with businesses whose digital presence – including basic elements such as image quality, file naming, and metadata – fell below the threshold AI systems require for confident identification. Many established, reputable businesses had near-zero AI search visibility. Firms with strong local reputations and loyal client bases were being overlooked entirely, while competitors with clearer, better-structured digital signals were being recommended in their place.
The problem was not a lack of quality or credibility – it was that AI systems had no way of recognising it.
This led to a deeper investigation into how generative AI systems evaluate and recommend businesses. The conclusion was striking: AI systems do not simply index a business – they form a judgement about whether that business can be identified, understood, and recommended with confidence. The strength of that judgement depends on the quality, consistency, and breadth of the signals a business presents across its digital footprint.
Hedley and Tony recognised that this represented a fundamental shift in how businesses are discovered, and that most businesses were entirely unaware of it. Entity Confidence Ltd was founded to address that gap – helping businesses understand how AI systems perceive them and providing a structured pathway to improve their visibility within AI-powered recommendation and search.
Why “entity confidence”?
The term was chosen deliberately. In AI and data science, “entity” refers to any distinct, identifiable subject – a person, a place, or a business – and “confidence” describes the degree of certainty a system assigns to its understanding of that entity. The expression captures precisely what determines whether a business is recommended by AI: how confidently the system can identify it, understand it, and vouch for it.
Hedley and Tony believed that if businesses were going to take this challenge seriously, they needed a clear, accurate term for it – not a marketing slogan, but a concept grounded in how AI systems actually work. Entity confidence is that concept, and Entity Confidence Ltd exists to help businesses measure and improve it.
A formal definition of entity confidence has been published and is available for citation. Entity Confidence®: A Canonical Definition
Company information
Entity Confidence Ltd is a company registered in England and Wales (company number 08220301). The trademark “Entity Confidence” is registered with the UK Intellectual Property Office (UK00004310760).
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