Uinno

Gatorade Coach Hub is a dynamic digital platform built to inspire, educate, and empower the entire grassroots sports community, from coaches and referees to parents and volunteers. Developed & designed by Uinno (engineering) and Userkind  (design), this platform delivers a seamless, engaging, and purposeful experience tailored to every stage of the sporting season. 

At the heart of the platform is a powerful education module featuring expert-led video content that delivers practical, actionable guidance from experienced professionals. Each session is thoughtfully designed to inspire, inform, and equip users with tools to promote inclusion, build leadership, instill strong values, and elevate the voices of young athletes - both on and off the field.

Coach Hub also weaves in the latest sports nutrition research and performance insights from Gatorade, offering added value without disrupting the learning journey.

The result is more than just a training tool -  it’s a holistic, beautifully crafted hub that strengthens community bonds, elevates everyday coaching, and helps shape confident, resilient young athletes.

Project highlights 

• Exceptional User Experience: The platform boasts an ultra-modern and visually stunning design, delivering a seamless and engaging user journey optimized as a Progressive Web Application (PWA).
   

• Dynamic & Flexible Content Management: Powered by a robust CMS, nearly all fields are fully customizable for administrators. Content updates happen effortlessly without compromising rendering speed, thanks to a progressive and future-proof architecture.
   

• Lightning-Fast Development: Despite the project’s complexity, both the website and admin panel were successfully delivered within just 1.5 months by a single developer, ensuring rapid time-to-market without sacrificing quality.

Offered services 

• Frontend Development
• Project Management

Tech Stack

Vue.js, Jest

The challenge

The client needed an advanced solution implemented with cutting-edge technologies able to transform the components library into a flexible and easy-to-use data-entry web software.

Its distinctive feature should be to provide equal access to the university information for physically challenged groups of people meaning to make all web components compliant with the W3C's Web Content Accessibility Guidelines (WCAG) 2.1 AA policies.

The core solutions provided by Uinno

The Uinno development team has created a modernized and better-structured components library for the complex website of the Australian government facility - the University of Melbourne.

• Re-writing the website component library
• Making the website accessible to people with disabilities
• Performing 100% test coverage

AI co-pilot designed exclusively for Healthcare. Reducing administrative work by 20% daily.

Market: APAC

Project Highlights

• From idea to prototype in 1 month allowing the founder to proof value in real healthcare setting.

• Diverse AI models featuring voice-to-text technology implemented.

• Fast growing medical AI startup from Australia focusing on driving efficiency within the healthcare industry.

Project Highlights

• The platform experienced a daily influx of 200,000 to 250,000 new users, accompanied by a

• substantial percentage of fraudulent activities

• Detecting and eliminating 90+% of fraudulent activity with ML before it happens

• Developing the business logic of user behavior analysis

• Allocating the data model of the users behavioral activity

• Providing the pipeline of predictive model development

• Outperforming Mastercard’s Ekata 4x times.

Our client is an extremely popular worldwide social media platform where influencers can share exclusive content with their fans through regular subscriptions and direct paid private messages.

The solution developed by Uinno allows revealing more than 90% of fraudsters even before users commit fraud that has extremely reduced the number of fraudulent cases. 

Offered services 

• Machine Learning
• Predictive Analytics
• Behavioral Analysis
• Deep Neural Networks

Tech Stack

Sklearn, Keras, TensorFlow, Python, Amazon S3

How We've Accepted Non-Trivial Challenge

There are millions of active users and the platform continues booming. But as usual, popularity attracts people with bad intentions who are willing to earn by-passing the rules.

Over time there were more and more cases that got noticed when a model and a fan collude. The follower makes donations and the creator withdraws money. After a while, the fan claims it was an unauthorized payment due to a stolen card and makes a chargeback at the platform's expense.

Designing Original Solutions

The Uinno team was engaged in the development of a specific part of the social media platform. We were challenged to beat the fraud pattern and to not only seek for violators among the existing userbase but detect them before they even start to pay.

• Analyzing the fraud pattern
• Developing neural network models
• Implementing predictive analytics

Project Highlights

• AI-Powered Age Validation: Developed a machine learning solution for accurate user age validation using convolutional neural networks and variational autoencoders.

• Open-Source Training Data: Built and trained the model exclusively with publicly available data due to security restrictions on real user data.

• Feature Extraction: Extracted facial landmarks like eye distance and forehead height, improving predictions.

• Obstruction Identification: Added flags to detect obstructive elements like glasses, hats, makeup, and cigarettes.

• High Accuracy: Achieved 80-85% accuracy across various age groups.

• Large-Scale Processing: Processed 250,000-350,000 users daily.

• Outperforming Mastercard’s Ekata 4x times

The Challenge

The business needed an AI solution capable of verifying the ages of over 300 million users with minimal human interaction. However, access to real user data for training the machine learning model was restricted due to privacy and security concerns. This required the team to develop and train their model using publicly available datasets, which posed a unique challenge. We had to accurately tag age data and balance different age groups across classes. Moreover, obstructive elements like glasses, hats, and makeup made facial feature identification more difficult. The solution demanded a precise approach to age identification, even with limited and imbalanced data.

The Outcome

Our advanced AI solution achieved remarkable results, reaching a consistent 80%-85% accuracy in age verification across various demographic groups. The model efficiently processed up to 350,000 user images daily, categorizing them based on predefined age ranges and significantly minimizing errors. This impressive achievement left the client delighted and confident in the system's capabilities.

Project Highlights

• Innovative Solution: Developed an intelligent video processing system for community sports, transforming a single camera into a digital referee. This provided an enhanced viewing experience, mirroring professional sports production.
• Player and Game Tracking: Implemented Convolutional Neural Network technology to track each player and the ball on the field. This capability directed camera focus and highlighted significant game moments.
• Stabilized Image Quality: Created a specialized algorithm to mitigate camera shaking when zooming into crucial game moments, improving the overall video quality.

Project Highlights

• 3 platforms launched — Web, iOS, and Android

• 4x budget savings — compared to traditional development

• 3 months — from idea to complete product release

• Zero compromise — on security, scalability, or UX

• Built with No/Low-Code — for speed, flexibility, and rapid iteration

Footy.co was designed, developed, and launched in just 3 months — delivering a seamless experience across Web, iOS, and Android.

By leveraging No/Low-Code technologies and Uinno’s deep expertise in SportsTech, we cut development time and costs by over 4x compared to traditional builds — without compromising on scalability, security, or user experience.

This project proves that with the right team and the right tools, it’s possible to go from idea to fully functional, cross-platform product faster and smarter than ever.

Enhancing Web 3.0 Game with Multi-Agent AI System for automated in-game content generation without human intervention.  

Project Highlights

• Innovative Blockchain Integration: Pioneering use of blockchain technology to foster a dynamic player-driven economy.

• Engaging Gameplay Mechanics: Incorporation of idle elements with active management strategies, offering a diverse gameplay experience.

• Multi-Agent AI System: Focused on creating, testing and publishing in-game content.

Project Highlights

• Delivering a Bloomberg-like investment software tool within a limited budget

• Performing the full product development cycle from solution design to backend/frontend development

• Implementing the right solution architecture to make efficient modifications with minimum resources

• Utilizing the test-driven development approach to easily sustain possible change requests

Offered services 

• MVP Development
• Solution Architecture
• Design Concept
• Backend Development
• Frontend Development
• DevOps Implementation
• Project Management

Tech Stack

React, MobX, PHP, Laravel, Docker (AWS ECS), MySQL (AWS RDS), Redis

The challenge

The crucial challenge was to build the right solution architecture from starters in order to ensure further product scalability.

The initial project functionality should include the possibility to gather all the available information from the third-party sources, visualize it conveniently for the user and allow the investor to evaluate and analyze existing data for data-driven decision-making.

Uinno experts assumed a role of a CTO to manage the development process and mentor the client's development team with a mission to bring a quality product on the market that best represents the client's business value.

Offered services 

• Solution Architecture Consulting
• Software Refactoring Consulting

Tech Stack

PHP, Node.js, React

Onyx Learning is a SaaS private learning management system that provides onboarding, skills assessment, and training programs with gamification elements for employees of all-sized businesses. Among their clients are well-known global corporations, such as Vincotte, McDonalds, Basf, Esso, Electrolux, and many others. 

The challenge

There are two existing versions of the product implemented with different technologies - one with a PHP language and the other is with Node.js platform along with React-based frontend part. Frontend parts are hardly integrated. While surfing the old website, web pages get updated, and occasionally clicking some button a user may accidentally bump into a React-based frontend part. The code is far from being clean. Sharing API with third-party platforms is a complicated, painful, and expensive task.

The core solutions provided by Uinno

• Creating a strategy of merging two product versions
• Refactoring code within each merge request
• Educating the client's development team

Offered services 

• Frontend Development
• DevOps Implementation
• Project Management

Tech Stack

React, MobX, TypeScript, Microsoft Azure

The challenge

The whole hiring process starts with sourcing and recruiting top talents. It is quite complicated and requires dealing with lots of pitfalls like:

• manually screening large volumes of job applications,
• silence treatment towards candidates that affects employer branding,
• disconnected sources for a background check and pre-employment tests,
• difficulty to evaluate the applicant's ability to fit the team culture,
• focus on permanent contacts ignoring the need for a contingent workforce.

To resolve these and many other challenges in the HR area, the client decided to create a solution that will allow leading the job applicant all the way to the employment in the most logical and convenient way - Expedo Recruitment.

The core solutions for Expedo Recruitment included:

• Developing recruitment pipelines
• Incorporating with internal tools
• Integrating with external job boards