We use natural language processing, machine learning and LLMs to extract valuable information from free text, images and sound.
Read MoreWe have over 20 years of experience in AI and have followed each step of its development. We can help you get started or take y...
Read MoreUnderstand consumers in their own words. We use natural language processing and LLMs on specially formulated open ended survey ...
Read MoreNo more p-values, null-hypotheses, type one and type two errors. Junk the confusing language of statistical testing for straigh...
Read MoreWe help your data scientists to put their mathematical and technical skills to good use, solving problems in the real world.
Read MoreFind out the best way to reach your customers by understanding the flow of information through a social network.
Read MoreWe run hands-on workshops covering a wide range of subjects in data science from machine learning and NLP to advanced statistic...
Read MoreOur approach to customer segmentation uses the latest techniques in AI to build a meaningful and genuinely useful segmentation ...
Read MoreWe use sophisticated statistical models to forecast what will happen to your business in the future and detailed simulations to...
Read MoreIf the solution that is being presented to you as cutting edge AI has in fact been around since the 60s we feel you have a righ...
Read MoreA successful visualisation has a life of its own changing the way people see and talk about your business. We balance aesthetic...
Read MoreMelt is a group of independent data science professionals who work together to solve your problems and deliver your projects.
Statistical and machine learning methods are used to identify outliers in your data. These outliers could be cases of fraud, or customers needing help, trending items, or faults in a system.
Read MoreBayesian modelling has many advantages over traditional statistical modelling. It is more flexible, easier to interpret (no more p-values or null hypotheses) and can incorporate prior assumptions.
Read MoreUsed to understand the trade-offs customers make when confronted by a range of options. A choice experiment is designed, the data is collected and then used to build a model.
Read MoreWe use geospatial models to make predictions about your customers based on where they live. We use javascript mapping libraries to produce beautiful interactive maps of your data.
Read MoreWe have over ten years experience in using machine learning to do things like predicting customer behaviour and recommending products and content. We are experts in the full development lifecycle o...
Read MoreNatural Language Processing allows us to extract information from free unstructured text. We can classify documents and web content and mine them for data that is crucial to your business.
Read MoreWe use mathematical models and optimisation techniques to help fine tune the operational and logistical parts of your business. Examples include optimising store layouts and queuing systems, laying...
Read MoreWe use unsupervised machine learning techniques to uncover useful patterns beneath the surface your data. For example unsuspected groupings within your customer data that should influence your CRM ...
Read MoreGrowing markets, customer flows and social networks. These are all complex systems. If we want to understand the impact of strategic decisions on these environments then we need to simulate the out...
Read MoreDesigning and evaluating experiments, interpreting survey results and isolating the contribution of a single factor on sales, all require statistical analysis. We have years of experience in select...
Read MoreWe use both traditional and modern (Bayesian/resampling) methods to design and analyse statistical tests. We use everything from simple AB tests to adaptive multi-armed bandit methods.
Read MoreWe use machine learning algorithms and statistical models to uncover and describe the topics that are discussed in online articles, blog posts, product reviews, audio transcripts and academic papers.
Read MoreFrom the first time I met Simon, I was impressed and fascinated about the passion he conveyed and the way he was able to frame a story to make it relevant for the audience.
Clemens Zaucher
Senior Data Scientist, Sainsburys
I am fortunate to have been trained and mentored by Simon at both Annalect and ITV over the past few years. Simon has not only taught me the theoretical side of statistics and data science but also the practical application; such as writing up a project briefs, through to what kind of statistical model I could use. I have found Simon’s training invaluable, and frequently look back at my notes or previous jupyter notebooks from Simons sessions when kicking off a project.
Annie Baldwin
Senior Data Scientist, ITV
In the regular conversations I had with Simon, I was able to discuss things I wanted to learn more about in a more technical sense, like for example data visualisation and D3.js, but also more soft skills like presenting results to a non-technical audience, or how to approach certain meetings. One of the most valuable ways he helped me in my day-to-day job was discussing a project, the approach I was taking, and the results of analyses. To have an experienced person looking over your shoulders, providing pointers, and highlighting common pitfalls is invaluable, especially when you are starting out.
Clemens Zaucher
Senior Data Scientist, Sainsburys
It was very useful to get advice and brainstorm how to best approach various tasks. Not only was this helpful from a statistical and methodology perspective, but also a business perspective and I learned many useful tips on how to respond to stakeholders.
Molly Devine
Data Analyst, The Economist
Last but not least, Simon is also a great person and a delight to work with, so if you ever have the chance of working with him – take it!
Adria Luz
Senior Data Scientist, TotallyMoney
Our work with Simon has accelerated our business into a space I couldn’t imagine a year ago. And working with Simon is such a pleasure. Not only is he able to bring structure and meaning to the most complex data he does so from a deeply commercial and pragmatic place. He dials down ‘the esoteric’ because he knows that humans have to use his models and tools. And perhaps most importantly for me he has a great sense of humour.
Dominic Payling
Planning Director, MSL Group
Simon has a tremendous breadth of knowledge, which allows solutions to be found for a wide range of problems. The training and mentoring sessions have really allowed me to extend my skillset which has enabled me to analyse and interpret data using a much wider range of approaches than I previously could. The training sessions provided me with a greater appreciation of testing methodologies and alerted me to some common misconceptions and misinterpretations.
Neil Burden
Senior Web Analyst, Unidays
Simon has been preparing excellent training sessions for our team for a number of years now. Despite the varied experience within the team of statistical models and machine learning, Simon leads insightful sessions for novices and experts alike.
Alex Henman
Head of Product Engineering, Beauhurst
Simon has played a key part helping me expand the role and acceptance of data science within the company, thanks to his formidable ability to understand business challenges and translate them into statistical problems that can be solved mathematically.
Adria Luz
Senior Data Scientist, TotallyMoney
Simon has the skills and the expertise to get straight to the heart of the problem and his solutions are always original and exciting. He is the best person I have worked with in his field and I would not hesitate to recommend Coppelia to anyone needing analytics or just some clear thinking about data and what to do with it.
Juliet Bauer
CCO, DC Thomson Family History
Simon has worked with us for many years now. Due to his great breadth of knowledge and experience he’s been able to advise us on all our machine learning projects, suggest alternative directions to take, and discuss the latest trends in AI with us. He is a great help and full of ideas.
Ben Stockermans
Senior Developer, Beauhurst
Simon is a very skilled teacher who would explain in detail the things that I had not yet understood but who was also able to recognize when my existing knowledge was already sufficient enough for him to skip ahead. Without his guidance, some of the projects I worked on during my time with him would not have been as successful as they did.
Laurens Geffert
Senior Data Scientist, Sainsburys
Simon was excellent throughout: he grasped the brief immediately, quickly converted hypothetical discussions into an achievable plan of work. Simon far exceeded what we hoped might be possible within the time and budget available. All of this was delivered with great warmth and with ideas expressed in terms that everyone could grasp. I couldn’t recommend Simon any more highly.
Andy Hamflett
Co-Founder and Director, AAM Associates
Simon’s mentoring was very useful in helping me to expand the range of statistical techniques I could apply to my day to day work, and helped to give me confidence that the analysis and results I’m producing are statistically sound.
Danny Flintoft
Data Analyst, Unidays
Since the mentoring, I’ve become a lot more comfortable in python, data presentation and visualisation and statistical methodologies/approaches to data. I’ve also become more comfortable in discussing statistical analysis with stakeholders and understanding what is possible and what is not.
Molly Devine
Data Analyst, The Economist
The one-on-one mentoring sessions were invaluable in providing bespoke solutions to genuine work questions, and to provide approaches that I could follow for future projects. The sessions have enabled me to utilise Jupyter Notebooks to carry out advanced analysis, whilst improving my SQL and Python skills. It has also opened upon a whole range of different data visualisations to employ to better demonstrate the outcomes of my analysis.
Neil Burden
Senior Web Analyst, Unidays
To put it simply, Simon has been the best thing that has happened to me since I started working at TotallyMoney five years ago. He has immensely helped me develop both my soft and hard skills, contributing critically to my growth as a data scientist.
Adria Luz
Senior Data Scientist, TotallyMoney
We had training in groups on topics like Spark and MapReduce, web scraping, or simulation which helped not only to know how to use an API of a certain framework, but also to understand the concepts behind them. I cannot recommend Simon enough, his mentorship has helped me so much and continues to do so to this day.
Clemens Zaucher
Senior Data Scientist, Sainsburys
We have worked with Coppelia since the beginning. They have been instrumental in helping us move our analytics proposition forward into a contemporary and advanced space. With Coppelia’s help we have upskilled all our analysts and successfully created a more innovative and creative analyst community
Jenny Bullis
Managing Director, Annalect Solutions UK
Working with Simon has been a game-changer for WGSN’s data capabilities, taking our data science journey to the next level. Simon’s technical expertise combined with his ability to understand business goals have been crucial in building a brilliant solution, which is not only future-proof but also aligned with our company values and mission. His work has always been of the highest standard, impressing both technical and non-technical stakeholders. All in all, I couldn’t recommend him enough and would love to continue to work with him in the future.
Sara Gaspar
Head of Data Analysis, WGSN
Working with Simon helped us look at our data in a new way. He quickly grasped our issue and found an elegant methodology and a practical implementation that we can keep building on. Simon also explained his approach and tooling well. It built on tested technologies and each step was clearly explained which was essential in allowing us to implement the tooling and expand on it ourselves. It will now form a central part in our ongoing work.
Patrik Hermansson
Senior Researcher, Hope Not Hate
“We don’t always have a smoking gun. Instead, we are like lawyers, presenting a case for or against a claim.” This piece of advice has changed the way I work. It has also helped with a bit of imposter syndrome where I have often assumed there was some magic way of answering a question, that I wasn’t smart enough to know about. When in fact there probably wasn’t, and there are often some more simple, sensible analysis to be done instead, that can be just as powerful.
Molly Devine
Data Analyst, The Economist