Our team won two awards at the National AI Awards 2026. Here's what they recognise.

Every enterprise AI deployment runs on the same unspoken bet: that the system is right often enough to be worth the times it isn't. For most of the industry, nobody can tell you the odds. That is the gap we have spent years closing, building AI that is accurate, consistent and explainable enough to depend on at scale. The work rarely announces itself and this week it did, twice.

At the National AI Awards 2026, UnlikelyAI was named winner of AI Innovation of the Year for our trustworthy neurosymbolic AI. The same evening, our founder and CEO, William Tunstall-Pedoe FREng, was named Alan Turing Innovator of the Year. Two awards, one thread running through both: AI that organisations can actually depend on.

AI Innovation of the Year

The category recognises a technology that addresses a significant challenge with clear, measurable impact. Our entry was the thing we have spent the past year building: neurosymbolic AI that combines the pattern recognition of neural models with the precision and inspectability of symbolic logic.

It is the work of closing the gap between what AI can do in a demo and what organisations can rely on under real conditions, and the judges scored it highly on exactly that point: impact.

Alan Turing Innovator of the Year

Named in honour of Alan Turing, this award recognises individuals for outstanding contributions to AI groundbreaking research, impactful innovation, and visionary leadership.

William's entry told a long arc: from founding the technology that helped create Alexa to building the future of trustworthy AI. Few people in the field have put foundational AI in front of hundreds of millions of people and then turned to the harder question of whether that AI can be trusted. That throughline, capability, then accountability is the same one running through everything we build.

Where this leaves us

Awards are a snapshot, not a finish line. The problem we set out to solve is exactly where it was last week: most senior leaders in regulated industries still spend significant time verifying AI outputs, because they have no way to see inside the systems producing them. That is the trust ceiling, and it has not moved on its own.

What changed this week is the signal. Two awards say the approach is the right one. Now back to the work of proving it at scale.

Proud of the work, and prouder of the team doing it.

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