Manchester has a habit of being underestimated. People still talk about UK technology as if it is a London story with a few regional footnotes. That view is already out of date. Manchester is becoming one of the more interesting AI cities in Europe, not because it is trying to copy Silicon Valley, but because its best companies are building practical AI for real business problems.
Several business leaders are already showing what that looks like. John Margerison, CEO of XFactorAi, is building communications intelligence that reads real business messages and turns them into clearer next actions, while Tom Dunlop at Manchester-born Summize is using AI to make contracts easier to understand, and Richard Potter, David Leitch and Atul Sharma built Peak AI in Manchester before its acquisition by UiPath.
Manchester is building useful AI, not just flashy AI
The strongest Manchester AI stories are not about chatbots doing party tricks. They are about businesses using AI to make work faster, clearer, and more commercial.
Peak is the obvious example. Founded in Manchester in 2015, the company built AI products to help businesses make better decisions around pricing, inventory, and demand. That is not glamorous in the way consumer AI can be, but it is exactly where AI becomes valuable. Retailers and manufacturers do not need more hype. They need better stock decisions, better margins, and fewer expensive misses.
Its acquisition by UiPath matters for that reason. It shows that Manchester can produce AI companies with products large enterprise software firms want to own. The lesson is simple. The next phase of AI will not only be won by companies with the best model. It will be won by companies that can put AI into the decisions businesses already care about.
Legal work is becoming easier to read
Summize is another strong Manchester example because it attacks one of the dullest but most important problems in business. Contracts are hard to read, slow to review, and often trapped inside legal teams when commercial teams need answers quickly.
Tom Dunlop and co-founder David Smith built Summize around a simple idea. Contracts should be easier to understand and faster to work with. That idea has turned into serious growth. Deloitte named Summize the North West regional winner in its 2025 UK Technology Fast 50, with reported growth of 2,678%. The company also secured a major investment in 2026 to support expansion and further AI development.
This is exactly the sort of AI Manchester should be known for. It is not abstract. It does not require a board to pretend it understands model architecture. It solves a problem people already have. Sales teams need to know what they can promise. Legal teams need to reduce repeated questions. Finance teams need visibility on risk. Good AI sits between those groups and makes the work less painful.
Recruitment is being rebuilt around potential
Manchester’s AI story is also about people. Arctic Shores, founded by Robert Newry and Safe Hammad, has spent years using behavioural science and technology to rethink hiring. Its products are designed to assess potential and soft skills, rather than relying only on CVs and old signals that often favour the same sorts of candidates.
That matters even more now. Companies are worried about skills, hiring costs, and whether traditional recruitment still works. AI can make those problems worse if it simply automates old bias at greater speed. It can also make them better if it helps employers see people more clearly.
Arctic Shores’ recent leadership changes show how this market is shifting. In 2025, Estelle McCartney was appointed CEO, with Newry moving into a new role focused on AI-driven recruitment trends. That tells us something important. The hiring market is not just adding AI to old processes. It is being forced to ask a harder question. What should companies actually measure when they hire?
Manchester is turning research into industry
AI cities need more than start-ups. They need universities, investors, large companies, founders, policy support, and places where all of those people keep bumping into each other. Manchester is starting to build that mix.
The University of Manchester is already a major part of the city’s AI base, and the wider region has been trying to turn that research strength into commercial output. The Turing Innovation Catalyst Manchester has also launched support for early-stage AI founders, with its first Startup Lab cohort selected in 2026.
More recently, BNY and the University of Manchester launched the Future of Work Alliance, which will focus on responsible AI and new models of work. That is a useful signal. It ties Manchester’s academic strength to a real enterprise problem. Companies do not just need AI ideas. They need ways to test them safely, scale them properly, and understand what they do to work.
Manchester’s advantage is practical ambition
