Skip to main content
KBS_Icon_questionmark link-ico
Department of Mathematics
Faculty of Natural, Mathematical & Engineering Sciences

Go to…

Our work with industry

Our mathematics research unlocks innovation and growth for businesses, supporting partners to find solutions to real-world challenges.

Tapping into King’s research excellence gives organisations a competitive edge and delivers tangible real-world impact. 

As a world-leading mathematics department, King’s offers deep expertise across financial mathematics, data analytics, cryptography, and more. We work with industry leaders – including EDF, Unilever, Haleon, Synoptix and Low Carbon Contracts Company – applying the latest research and tools to solve complex business problems. Based in the heart of London’s innovation ecosystem, we are ideally positioned to connect cutting-edge research with industry needs.  

Whether you’re a global corporate, a small-to-medium enterprise, a public organisation or a start-up, our team has the talent, facilities and insight to help you innovate and achieve your goals. 


 

How to work with us 

Collaborations can take many forms – from one-off expert consultancy to sponsored student projects and long-term research partnerships. We can even help secure funding for collaborations through seed grants, Innovate UK schemes, and Knowledge Transfer Partnerships (KTPs).

Leverage our academic expertise to help solve a specific issue or provide strategic insight.

Our experts can undertake focused projects such as data analysis, model validation, or product testing to address your immediate business challenges. This agile approach delivers quick, actionable solutions.

To discuss opportunities contact nmes-enterprise@kcl.ac.uk

Tackle bigger R&D challenges together through joint research initiatives. We actively collaborate with organisations of all sizes on research projects – including multi-year Knowledge Transfer Partnerships (KTPs) co-funded by Innovate UK – to develop new products, systems and models that boost innovation.

King’s has a strong track record of securing funding, and we welcome opportunities to pursue grants that support your innovation goals.

Please contact the team at nmes-enterprise@kcl.ac.uk to discuss further details on your project idea

More information can be found on the KTP website

Invest in long-term research by sponsoring a doctoral student at King’s. Your company can co-create a PhD project aligned to your strategic interests, with academic supervision from our faculty. This gives you early access to advanced research outcomes and a pipeline of high-level talent.

Previous partnerships have explored emerging challenges in data science, technology and healthcare.

Find out more about industry sponsored studentships

Tap into King’s student talent through internships and collaborative projects. Our students bring enthusiasm, fresh thinking and cutting-edge skills to your organisation. You can offer summer internships or co-design final-year projects with us, allowing students to tackle your real-world problems as part of their coursework.

This not only helps develop solutions but also serves as an effective recruiting pipeline for future hires.

To discuss opportunities contact nmes-enterprise@kcl.ac.uk

Contact us if you're interested in delivering a guest lecture at one of our events.

To discuss opportunities contact nmes-enterprise@kcl.ac.uk

Predicting future energy demands in a complex market

With EVs, AI and renewables reshaping the grid, accurate forecasting is critical. Working with the Low Carbon Contracts Company, King’s mathematicians have developed a new kind of statistical modelling tool that captures uncertainty and improves long‑term electricity demand predictions for a secure Net Zero transition.

King’s mathematicians have been developing a completely new kind of statistical modelling tool for this purpose, which can be tailored to a whole raft of different scenarios and variables. This enables users to understand the many uncertainties around long-term forecasts and develop more accurate predictions.

renewable energy

Protecting AI Intellectual Property from theft: A robust tool for businesses

The global ‘AI race’ has been likened to a modern-day space race, with organisations investing extraordinary sums to develop more capable models and tools. As those investments grow, so does the incentive to steal or replicate the underlying intellectual property (IP), whether by competitors, state-linked groups, or cybercriminals.

With this challenge in mind, technology and security engineering company Synoptix partnered with King’s College London’s Department of Mathematics to explore technical safeguards for neural network IP.

Hands typing on a keyboard with a glowing copyright symbol and digital icons

Improving our understanding of rare but extreme events that impact critical infrastructure

Improving our understanding of natural disasters is key to protecting critical infrastructure such as energy systems. Although such scenarios are very unlikely, their occurrence could have major consequences. As a result, energy companies must invest resources in safeguarding these systems and strengthening their resilience.

Senior Lecturer in Statistics and expert in modelling hazardous events, Dr Claudia Neves, has developed new statistical tools capable of predicting the unpredictable – all within the confines of limited observational data.

Weather radar

Explore more

People

People

Meet the Faculty of Natural, Mathematical & Engineering Sciences.

Research

Research

Discover our research in the Faculty of Natural, Mathematical & Engineering Sciences.

News

News

The latest news from the Faculty of Natural, Mathematical & Engineering Sciences.