Published by Sue Johns-Chapman
Published Date 23.07.2025 
It’s been quite a year for our team at Xenoss. What started as a mission to help enterprises reduce manual reconciliation work, improve credit scoring accuracy, and cut operational costs has turned into something pretty special – we’ve just been shortlisted for AI Company of the Year at the UK Business Tech Awards 2025.
For a company that’s grown 932% over three years, you might think we’d be used to recognition by now. But this one feels different. The UK Business Tech Awards celebrate companies delivering genuine innovation, and being recognized alongside some of the most innovative tech companies in the country is both humbling and energizing.
Behind the scenes
At Xenoss, we’re the team that gets called when enterprises need AI systems that handle millions of transactions, integrate with decades-old infrastructure, and meet strict regulatory requirements.
Our 150+ specialists include AI engineers, data scientists, and solution architects who’ve built production systems across banking, retail, energy, and advertising. We’ve tripled our AI team size in the past year alone, which tells you something about how quickly enterprise demand is growing.
“Being shortlisted for AI Company of the Year validates our approach of building systems that handle 2,000+ daily queries autonomously, process 15,000+ reconciliations quarterly, and run thousands of ML models simultaneously,” says our CTO.
The numbers that got attention
The work that earned us this recognition spans some pretty impressive results. We’ve delivered a +2.6 Gini uplift for a global bank that translated to $18M in annual risk reduction. For a major retailer, our automation platform cuts accounting costs by 55% and saves $3.2M annually while processing thousands of reconciliations. Our campaign optimization engine reduced advertising costs by 27% while improving performance by 18% across 128,000 merchants.
But perhaps most importantly, we’ve built systems that handle 2.5M+ sensitive records daily while maintaining 100% GDPR compliance. One global bank secured regulatory approval for its AI credit scoring model in 6 weeks instead of the usual 9+ months, thanks to the compliance frameworks we’ve embedded into every deployment.
The thread connecting all these projects is integration. We’ve built middleware that connects AI to legacy ERP systems without requiring massive overhauls. One retailer deployed our platform across 60+ entities without retraining 2,000+ staff or changing core configurations.
What this recognition means
“This shortlisting is encouraging for our team,” reflects our Head of AI Engineering. “We’ve learned a lot from deploying systems across different industries, and each project teaches us something new about what enterprises really need.”
The nomination feels particularly meaningful because it acknowledges our focus on business constraints over technical possibilities. Every project starts with understanding our client’s systems, goals, and regulatory requirements.
This approach has earned us a 97% retention rate across AI projects. Global banks, multinational retailers, and energy companies don’t just work with us once – they come back for second and third engagements.
Looking ahead
The timing of this recognition is perfect. We’re expanding rapidly with some exciting plans ahead: launching our proprietary agent orchestration framework as a platform offering and building new R&D frameworks in agentic AI and real-time optimization.
We’re also growing our team to 200+ specialists by the end of 2025, focusing on MLOps and cloud infrastructure experts and developing industry-specific AI accelerators for the industries we work with.
“The UK Business Tech Awards shortlisting validates that we’re on the right path,” says our CEO. “But more importantly, it energizes our team to push even harder on the innovations that will define the next generation of enterprise AI.”
Team pride
As we head toward the winners’ announcement in London on September 10th, there’s a real sense of collective pride across our team. Our data scientists, DevOps engineers, solution architects, and project managers all contributed to this recognition in their own way.
“Whether we win or not, this shortlisting energizes our entire team,” says one of our senior engineers.
The recognition validates our core approach: building multi-agent systems that process millions of transactions while integrating seamlessly with the legacy infrastructure that enterprises depend on.
For a team that started with the goal of making enterprise AI solve real problems, being shortlisted for AI Company of the Year feels like recognition that we’re heading in the right direction.
