JOGO - Track. Analyse. Improve
JOGO - Track. Analyse. Improve
JOGO - Track. Analyse. Improve
JOGO - Track. Analyse. Improve
Accessible, data driven, player specific technology.
Accessible, data driven, player specific technology.
Accessible, data driven, player specific technology.
Accessible, data driven, player specific technology.
00
00
00
00
Introduction
Even though football is the number one sport in the world, it falls behind when it comes to the usage of factual, objective data. Especially in youth football. This problem created the inspiration for JOGO.AI, the football technology startup aiming to bring more relevant data insights to youth football than ever before. This case study will dive deeper into why and how football was in desperate need for JOGO’s revolutionary approach and technology.
Introduction
Even though football is the number one sport in the world, it falls behind when it comes to the usage of factual, objective data. Especially in youth football. This problem created the inspiration for JOGO.AI, the football technology startup aiming to bring more relevant data insights to youth football than ever before. This case study will dive deeper into why and how football was in desperate need for JOGO’s revolutionary approach and technology.
Introduction
Even though football is the number one sport in the world, it falls behind when it comes to the usage of factual, objective data. Especially in youth football. This problem created the inspiration for JOGO.AI, the football technology startup aiming to bring more relevant data insights to youth football than ever before. This case study will dive deeper into why and how football was in desperate need for JOGO’s revolutionary approach and technology.
Introduction
Even though football is the number one sport in the world, it falls behind when it comes to the usage of factual, objective data. Especially in youth football. This problem created the inspiration for JOGO.AI, the football technology startup aiming to bring more relevant data insights to youth football than ever before. This case study will dive deeper into why and how football was in desperate need for JOGO’s revolutionary approach and technology.
The Solution: Accessible, data driven, player specific technology.
JOGO.AI recognised the need to provide a tech solution that enabled players to reach their true potential. The result was the development of the JOGO.AI mobile and web apps, which used machine learning and computer vision models (built in house), enabling players to train on demand using their mobile phone.
The product quickly became much more than just a player training app. After much research, testing and market analysis, we decided to build and integrate our own IMU insole sensor technology into the solution.
From Ideation to Conception: Revolutionising Youth development with Tech
In order to revolutionise the development of youth players, we needed to build a frictionless solution that tracked the most important data insights. We developed non-invasive insole sensor technology to provide individual, player specific insights after every game or training session.
Establishing a Scalable and Stable Tech Solution
With the opportunity to cater for millions of players worldwide, we strategically selected tools and frameworks that would provide ultimate scalability and product stability.
Combining hardware, bluetooth connectivity, data science algorithms and app development presented a number of challenges. These challenges needed to be acknowledged and addressed at speed, in order to develop a stable and easy to use solution.
Providing instant data feedback was an essential part of the product’s DNA. Through our own R&D we quickly learnt how long the processing of raw data could take and the ‘manual input’ required to process this into valuable insights.
Our focus shifted to ‘metric’ data and running calculations on the sensor itself, leading to faster processing and download time for the player to see their data almost immediately after their session.
Moving the Goalposts: Adapting the Product for more Customer Focus
When combining multiple technologies within one product, we encountered many complexities and challenges, especially related to stability and performance.
We made the strategic decision to focus on the combination of the sensor technology and mobile app - a B2C focused player driven solution. Club’s and trainers could still use the solution via API integrations into their own platform.
This provided clarity in the product strategy from both a user and subsequently, technical perspective. Enabling us to better coordinate and manage the development, design and roll out of the product.
Product Validation: From the amateur, to the elite
The biggest problem we find with football technology is it’s inaccessibility for all levels of the game. We worked with players, clubs and federations at all levels to ensure that our product was really catering for every player, irrespective of their level or potential.
Testing our product with world renowned organisations was also an integral part in not only validating the idea, but also its value and how it could be used in multiple contexts.
FIFA, FC Köln, KNVB, Dalian Pro, Valencia CF etc.
Conclusion:
This incredibly challenging journey ultimately led to JOGO.AI being acquired by football media powerhouse 433, 18 months after the startup was founded.
Getting worldwide recognition from some of the sports most elite practitioners and organisations stands out of course, but the growth of the team in developing everything in house, under one roof is what stands out the most.
year
2020
timeframe
18 Months
tags
Computer Vision, Machine Learning, Micro Services, Data Science, Wearable Tracker
category
Product & Development
The Solution: Accessible, data driven, player specific technology.
JOGO.AI recognised the need to provide a tech solution that enabled players to reach their true potential. The result was the development of the JOGO.AI mobile and web apps, which used machine learning and computer vision models (built in house), enabling players to train on demand using their mobile phone.
The product quickly became much more than just a player training app. After much research, testing and market analysis, we decided to build and integrate our own IMU insole sensor technology into the solution.
From Ideation to Conception: Revolutionising Youth development with Tech
In order to revolutionise the development of youth players, we needed to build a frictionless solution that tracked the most important data insights. We developed non-invasive insole sensor technology to provide individual, player specific insights after every game or training session.
Establishing a Scalable and Stable Tech Solution
With the opportunity to cater for millions of players worldwide, we strategically selected tools and frameworks that would provide ultimate scalability and product stability.
Combining hardware, bluetooth connectivity, data science algorithms and app development presented a number of challenges. These challenges needed to be acknowledged and addressed at speed, in order to develop a stable and easy to use solution.
Providing instant data feedback was an essential part of the product’s DNA. Through our own R&D we quickly learnt how long the processing of raw data could take and the ‘manual input’ required to process this into valuable insights.
Our focus shifted to ‘metric’ data and running calculations on the sensor itself, leading to faster processing and download time for the player to see their data almost immediately after their session.
Moving the Goalposts: Adapting the Product for more Customer Focus
When combining multiple technologies within one product, we encountered many complexities and challenges, especially related to stability and performance.
We made the strategic decision to focus on the combination of the sensor technology and mobile app - a B2C focused player driven solution. Club’s and trainers could still use the solution via API integrations into their own platform.
This provided clarity in the product strategy from both a user and subsequently, technical perspective. Enabling us to better coordinate and manage the development, design and roll out of the product.
Product Validation: From the amateur, to the elite
The biggest problem we find with football technology is it’s inaccessibility for all levels of the game. We worked with players, clubs and federations at all levels to ensure that our product was really catering for every player, irrespective of their level or potential.
Testing our product with world renowned organisations was also an integral part in not only validating the idea, but also its value and how it could be used in multiple contexts.
FIFA, FC Köln, KNVB, Dalian Pro, Valencia CF etc.
Conclusion:
This incredibly challenging journey ultimately led to JOGO.AI being acquired by football media powerhouse 433, 18 months after the startup was founded.
Getting worldwide recognition from some of the sports most elite practitioners and organisations stands out of course, but the growth of the team in developing everything in house, under one roof is what stands out the most.
year
2020
timeframe
18 Months
tags
Computer Vision, Machine Learning, Micro Services, Data Science, Wearable Tracker
category
Product & Development
The Solution: Accessible, data driven, player specific technology.
JOGO.AI recognised the need to provide a tech solution that enabled players to reach their true potential. The result was the development of the JOGO.AI mobile and web apps, which used machine learning and computer vision models (built in house), enabling players to train on demand using their mobile phone.
The product quickly became much more than just a player training app. After much research, testing and market analysis, we decided to build and integrate our own IMU insole sensor technology into the solution.
From Ideation to Conception: Revolutionising Youth development with Tech
In order to revolutionise the development of youth players, we needed to build a frictionless solution that tracked the most important data insights. We developed non-invasive insole sensor technology to provide individual, player specific insights after every game or training session.
Establishing a Scalable and Stable Tech Solution
With the opportunity to cater for millions of players worldwide, we strategically selected tools and frameworks that would provide ultimate scalability and product stability.
Combining hardware, bluetooth connectivity, data science algorithms and app development presented a number of challenges. These challenges needed to be acknowledged and addressed at speed, in order to develop a stable and easy to use solution.
Providing instant data feedback was an essential part of the product’s DNA. Through our own R&D we quickly learnt how long the processing of raw data could take and the ‘manual input’ required to process this into valuable insights.
Our focus shifted to ‘metric’ data and running calculations on the sensor itself, leading to faster processing and download time for the player to see their data almost immediately after their session.
Moving the Goalposts: Adapting the Product for more Customer Focus
When combining multiple technologies within one product, we encountered many complexities and challenges, especially related to stability and performance.
We made the strategic decision to focus on the combination of the sensor technology and mobile app - a B2C focused player driven solution. Club’s and trainers could still use the solution via API integrations into their own platform.
This provided clarity in the product strategy from both a user and subsequently, technical perspective. Enabling us to better coordinate and manage the development, design and roll out of the product.
Product Validation: From the amateur, to the elite
The biggest problem we find with football technology is it’s inaccessibility for all levels of the game. We worked with players, clubs and federations at all levels to ensure that our product was really catering for every player, irrespective of their level or potential.
Testing our product with world renowned organisations was also an integral part in not only validating the idea, but also its value and how it could be used in multiple contexts.
FIFA, FC Köln, KNVB, Dalian Pro, Valencia CF etc.
Conclusion:
This incredibly challenging journey ultimately led to JOGO.AI being acquired by football media powerhouse 433, 18 months after the startup was founded.
Getting worldwide recognition from some of the sports most elite practitioners and organisations stands out of course, but the growth of the team in developing everything in house, under one roof is what stands out the most.
year
2020
timeframe
18 Months
tags
Computer Vision, Machine Learning, Micro Services, Data Science, Wearable Tracker
category
Product & Development
The Solution: Accessible, data driven, player specific technology.
JOGO.AI recognised the need to provide a tech solution that enabled players to reach their true potential. The result was the development of the JOGO.AI mobile and web apps, which used machine learning and computer vision models (built in house), enabling players to train on demand using their mobile phone.
The product quickly became much more than just a player training app. After much research, testing and market analysis, we decided to build and integrate our own IMU insole sensor technology into the solution.
From Ideation to Conception: Revolutionising Youth development with Tech
In order to revolutionise the development of youth players, we needed to build a frictionless solution that tracked the most important data insights. We developed non-invasive insole sensor technology to provide individual, player specific insights after every game or training session.
Establishing a Scalable and Stable Tech Solution
With the opportunity to cater for millions of players worldwide, we strategically selected tools and frameworks that would provide ultimate scalability and product stability.
Combining hardware, bluetooth connectivity, data science algorithms and app development presented a number of challenges. These challenges needed to be acknowledged and addressed at speed, in order to develop a stable and easy to use solution.
Providing instant data feedback was an essential part of the product’s DNA. Through our own R&D we quickly learnt how long the processing of raw data could take and the ‘manual input’ required to process this into valuable insights.
Our focus shifted to ‘metric’ data and running calculations on the sensor itself, leading to faster processing and download time for the player to see their data almost immediately after their session.
Moving the Goalposts: Adapting the Product for more Customer Focus
When combining multiple technologies within one product, we encountered many complexities and challenges, especially related to stability and performance.
We made the strategic decision to focus on the combination of the sensor technology and mobile app - a B2C focused player driven solution. Club’s and trainers could still use the solution via API integrations into their own platform.
This provided clarity in the product strategy from both a user and subsequently, technical perspective. Enabling us to better coordinate and manage the development, design and roll out of the product.
Product Validation: From the amateur, to the elite
The biggest problem we find with football technology is it’s inaccessibility for all levels of the game. We worked with players, clubs and federations at all levels to ensure that our product was really catering for every player, irrespective of their level or potential.
Testing our product with world renowned organisations was also an integral part in not only validating the idea, but also its value and how it could be used in multiple contexts.
FIFA, FC Köln, KNVB, Dalian Pro, Valencia CF etc.
Conclusion:
This incredibly challenging journey ultimately led to JOGO.AI being acquired by football media powerhouse 433, 18 months after the startup was founded.
Getting worldwide recognition from some of the sports most elite practitioners and organisations stands out of course, but the growth of the team in developing everything in house, under one roof is what stands out the most.
year
2020
timeframe
18 Months
tags
Computer Vision, Machine Learning, Micro Services, Data Science, Wearable Tracker
category
Product & Development
01
01
01
01
.say hello
Get connected!
Let's have a chat about your opportunities and challenges
.say hello
Get connected!
Let's have a chat about your opportunities and challenges
.say hello
Get connected!
Let's have a chat about your opportunities and challenges
.say hello
Get connected!
Let's have a chat about your opportunities and challenges
