The UK remains one of the most attractive launchpads for international tech startups and scaleups. With a mature tech ecosystem, high media visibility, and access to capital, it’s little wonder that companies from across Europe, the US, and beyond have it on their roadmap. Yet while the opportunity might be significant, so too are the risks of your launch missing the mark.
Chris Smith, Co-Founder of Bloxx, a startup company built to reimagine how homeownership works – without mortgages, without interest, and without the assumption that renting must be forever, stepped away from a two-decade career in banking, armed with industry insight, knowledge that the industry as it stood could not serve the next generation, and an idea to change that.
Quantum computing startups are taking over the world of deeptech as the technology becomes more viable, investment surges, and breakthroughs are multiplying. The United Nations even crowned 2025 as the ‘International Year of Quantum Science and Technology’, making 100 years since the birth of quantum mechanics.
The Department for Science, Innovation and Technology (DSIT) has significantly increased its IT spending, investing nearly £5 million in laptops, phones, and tablets over the past two years. This investment is a key part of DSIT’s strategy to scale up internal digital capabilities and empower its workforce, supporting the UK’s ambition to become a global leader in technology and artificial intelligence.
Data is driving everything in businesses from everyday operations to long-term strategy, making the quality of that data increasingly important. While organisations across industries are investing in analytics platforms, artificial intelligence (AI), and digital transformation initiatives, many are still overlooking a foundational question: can we trust the data we’re using?
Enterprise leaders are eager to move beyond AI experimentation and unlock scalable value. However, new research from Kore.ai, a global leader in enterprise AI, reveals a critical gap: while 71% of companies are actively using or piloting AI, only 30% are prepared to scale – potentially slowing the momentum of the next wave of enterprise AI adoption.













