What we do
Data science
Rigorous application of the scientific method, traditional statistical tests and A.I. to derive groundbreaking algorithms
Product design
Domain experts and problem solvers with a proven track record for creating best-of-breed products
Content generation
Subject matter wisdom-earned through decades of observation, analysis, invention, failure and reflection
Technical solutions
Technical expertise in racing and betting projects. AWS, React, ReactNative, api authoring, 3D, VR…
What we do
Data science
Rigorous application of the scientific method, traditional statistical tests and A.I. to derive groundbreaking algorithms
Product design
Domain experts and problem solvers with a proven track record for creating best-of-breed products
Content generation
Subject matter wisdom-earned through decades of observation, analysis, invention, failure and reflection
Technical solutions
Technical expertise in racing and betting projects. AWS, React, ReactNative, api authoring, 3D, VR…
Who we are
Quantum Leap Solutions Limited is a small team of digital innovators with a deep knowledge of horse racing who create digital products and SaaS solutions for the racing and betting industries. Established in 2014, we have built a reputation for solving business problems, adding value to clients’ products and helping punters find winners.
Leveraging domain expertise, artificial intelligence and data science we offer scalable, automated content solutions transforming data into groundbreaking and disruptive products within our sector.
Our ethos: automate everything, make it scale, stay nimble, keep innovating.
Who we are
Quantum Leap Solutions Limited is a small team of digital innovators with a deep knowledge of horse racing who create digital products and SaaS solutions for the racing and betting industries. Established in 2014, we have built a reputation for solving business problems, adding value to clients’ products and helping punters find winners.
Leveraging domain expertise, artificial intelligence and data science we offer scalable, automated content solutions transforming data into groundbreaking and disruptive within our sector.
Our ethos: automate everything, make it scale, stay nimble, keep innovating.
Case studies
The Racing App
This brand new version of The Racing App represents a giant leap forwards from its predecessor, with new features, new content and a brand new look. We also welcome bookmaker Fitzdares and renowned racing broadcaster Nick Luck as partners in the project. Find Out More
US Racing Content
Our benchmark for making a race interesting is the level of content and insight we offer for British and Irish racing; we have now delivered that and more for US racing fans. We’ve crammed top-quality content and unique insight into a best-in-class app, something that shows how The Racing App really is the pinnacle of products for racing fans – and a step change in the presentation of US racing.
Watch & Bet
Quantum Leap Solutions create the bet-stimulating pre-race content included in RMG's Watch & Bet service - used by the majority of UK and Irish bookmakers. The service includes unique video form guides, pace maps and draw analysis charts, plus selections and statistics from The Racing App. More about Watch & Bet
Case studies
US Racing Content
Our benchmark for making a race interesting is the level of content and insight we offer for British and Irish racing; we have now delivered that and more for US racing fans. We’ve crammed top-quality content and unique insight into a best-in-class app, something that shows how The Racing App really is the pinnacle of products for racing fans – and a step change in the presentation of US racing.
The Racing App
This brand new version of The Racing App represents a giant leap forwards from its predecessor, with new features, new content and a brand new look. We also welcome bookmaker Fitzdares and renowned racing broadcaster Nick Luck as partners in the project. Find Out More
Watch & Bet
Quantum Leap Solutions create the bet-stimulating pre-race content included in RMG's Watch & Bet service - used by the majority of UK and Irish bookmakers. The service includes unique video form guides, pace maps and draw analysis charts, plus selections and statistics from The Racing App. More about Watch & Bet
Case studies
The Racing App
This brand new version of The Racing App represents a giant leap forwards from its predecessor, with new features, new content and a brand new look. We also welcome bookmaker Fitzdares and renowned racing broadcaster Nick Luck as partners in the project. Find Out More
US Racing Content
Our benchmark for making a race interesting is the level of content and insight we offer for British and Irish racing; we have now delivered that and more for US racing fans. We’ve crammed top-quality content and unique insight into a best-in-class app, something that shows how The Racing App really is the pinnacle of products for racing fans – and a step change in the presentation of US racing.
Watch & Bet
Quantum Leap Solutions create the bet-stimulating pre-race content included in RMG's Watch & Bet service - used by the majority of UK and Irish bookmakers. The service includes unique video form guides, pace maps and draw analysis charts, plus selections and statistics from The Racing App. More about Watch & Bet
Research papers
Ordinal Regression Applied To Racehorse Ranking Prediction
In this investigation we aim to build upon the work previously conducted in our studies on the application of machine learning algorithms to race horse ranking prediction. We introduce ordinal classification techniques to study whether they can improve overall network accuracy when compared to standard classification methodologies. Read the paper
Machine Learning for Racehorse Ranking Prediction - Part 2
Part 2 of our investigation into machine learning algorithms for the prediction of racehorse rankings focusses on how neural networks similar to those used previously were applied to predict rankings for flat races with no bends and jumps racing. Further data analysis and pre-processing steps are also carried out to improve computational and labour efficiency, and remove some extraneous variables. Read the paper
Machine Learning for Racehorse Ranking Prediction - Part 1
In this first of a series of QL research papers, we investigate the plausibility of utilising machine learning algorithms for the prediction of racehorse rankings based on data collected by Quantum Leap Solutions. Currently, a complex set of statistical analyses are used to predict runner position based upon previous form, ratings and race information. The application of machine learning algorithms to this task has the potential to greatly increase computational efficiency whilst maintaining high predictive accuracy. Moreover, machine learning programmes would allow for a high level of automation, building on Quantum Leap Solutions’s proprietary architecture. Read the paper
Research papers
Ordinal Regression Applied To Racehorse Ranking Prediction
In this investigation we aim to build upon the work previously conducted in our studies on the application of machine learning algorithms to race horse ranking prediction. We introduce ordinal classification techniques to study whether they can improve overall network accuracy when compared to standard classification methodologies. Read the paper
Machine Learning for Racehorse Ranking Prediction - Part 2
Part 2 of our investigation into machine learning algorithms for the prediction of racehorse rankings focusses on how neural networks similar to those used previously were applied to predict rankings for flat races with no bends and jumps racing. Further data analysis and pre-processing steps are also carried out to improve computational and labour efficiency, and remove some extraneous variables. Read the paper
Machine Learning for Racehorse Ranking Prediction - Part 1
In this first of a series of QL research papers, we investigate the plausibility of utilising machine learning algorithms for the prediction of racehorse rankings based on data collected by Quantum Leap Solutions. Currently, a complex set of statistical analyses are used to predict runner position based upon previous form, ratings and race information. The application of machine learning algorithms to this task has the potential to greatly increase computational efficiency whilst maintaining high predictive accuracy. Moreover, machine learning programmes would allow for a high level of automation, building on Quantum Leap Solutions’s proprietary architecture. Read the paper