Barclays’ AI 100 — The Ones to Watch 2026

19 May 2026

Literal Labs is among top one hundred UK companies profiled in Barclays Eagle Labs’ new summary of the Britain’s leading AI technologists, The Ones to Watch: AI 100, launched this week. The report maps the startups, scaleups, and leaders translating the UK’s established strength in AI research into globally competitive businesses.

The distinction reflects not sentiment, but execution. Mark Zanoli, Global Chairman of Investment Banking at Barclays, frames the challenge plainly in his foreword: the question is no longer whether the foundation exists — it does — but whether the country can convert it “fast enough.” The hundred companies in this report are those already attempting precisely that conversion. They sit across sectors from semiconductors and infrastructure through to life sciences, robotics, and voice generation. Each represents a different answer to how formal AI models are deployed in the real world.

Literal Labs’ inclusion turns on a particular thesis about that deployment. Edge AI — moving computation away from centralised data centres and onto the hardware where decisions must be made — is no longer an experiment. It is a necessity. The constraints are physical: bandwidth, latency, power budgets, the unreliability of cloud connectivity at the point of inference. Neural Networks, even in quantised form, struggle under those constraints. Logic-Based Networks, built on propositional logic rather than statistical approximation, do not.

The scaleup gap that Barclays identifies — the chasm between venture-backed research and sustained, international commercial growth — is precisely where companies like Literal Labs operate. The technology is proven. The engineering is solid. The commercial question is harder: how to price a model that delivers over 50 times reduction in energy consumption and inference latency? How to help enterprises and embedded-systems manufacturers recognise that cost reduction as value? How to build a business that scales that recognition across industries — from automotive safety systems on legacy hardware, through sewer monitoring on IoT sensors, to inventory forecasting on constrained edge devices?

Such questions will occupy the next phases of growth for each AI company on Barclay’s list. The AI 100 report suggests that the UK ecosystem — investors, infrastructure partners, legal counsel, financial advisors — is now mature enough to support founders who commit to answering them.

The full report is available at Barclays Eagle Labs.