Glorium Technologies

Client Background
Our client is a real estate company focused on improving property valuations and identifying investment opportunities by utilizing advanced data sources. Their goal was to enhance the accuracy of property listings and price predictions while uncovering hidden features that would increase the appeal of properties.

Challenge
The client needed a solution that could deliver highly accurate property valuations and price predictions based on a variety of complex data sources. These included high-resolution photographs, aerial and satellite imagery, infrared and thermal imaging, LiDAR scans for 3D modeling, and user-generated content from social media. The challenge was to process and analyze this diverse data effectively to uncover new investment opportunities and emerging market trends.

Solution
Our team developed an advanced AI-driven solution using Convolutional Neural Networks (CNNs) for object detection and segmentation. This allowed the system to analyze various data types, including images and 3D models, to provide highly accurate property valuations. The system also utilized 3D reconstruction techniques to create detailed property models, incorporating multi-modal learning to combine insights from different data sources, such as social media content and thermal imaging, for a comprehensive analysis.

Client Background
Our client is a real estate company aiming to stay ahead of market trends and optimize property investments. They needed advanced tools to automate the process of property valuation, find attractive offers faster, and accurately monitor market shifts in real-time.

Challenge

The manual methods used for tracking market trends and estimating property values were not only time-consuming but often led to missed opportunities. The client needed a more efficient system that could analyze vast amounts of data and provide reliable property estimations and market insights to support informed decision-making.

Solution
Our team developed a predictive model powered by Deep Learning to automate property price estimations. This model leveraged historical data and market trends to predict accurate valuations. Alongside the predictive model, we created an interactive tool that aggregates pricing information, offering the client real-time insights into property values at various levels. This tool was integrated into an online dashboard, providing the client with easy access to these insights, ultimately allowing them to make better investment decisions.

Client Background
Our client is a leading platform that supports parents and homeschoolers. They provide resources, tools, and a community platform to make homeschooling easier and more effective for families. With a growing user base and increasing demands, they needed a way to provide around-the-clock support for their employees.

Challenge
The client needed a solution to help their employees access detailed business information quickly and efficiently. Employees often struggled with finding important contacts, addresses, and links, leading to delays and errors. The client wanted a solution that would provide 24/7 support and significantly reduce the time spent searching for these details.

Solution
Glorium Technologies developed a virtual assistant using an AI-powered chatbot integrated with Slack. This tool was built using Node.js and LangChain.js, leveraging the OpenAI API. The chatbot allows employees to access necessary business information within Slack, making it easier and faster to find what they need. The integration of Slack Bolt and OpenAI API ensures that the chatbot is highly effective in providing quick and accurate responses.

Client Background
Our client, a platform dedicated to parents and homeschoolers, is focused on providing resources and tools that make home education more effective and engaging. With a growing community, they recognized the need to streamline their collaborative features, especially in running campaigns that resonate with their specific audience.

Challenge
Running campaigns manually was time-consuming and often resulted in delays and inconsistencies. The client needed an improved solution that could automate these processes, improve the quality of their campaigns, and reduce costs. They sought to implement a tool that could handle everything from the preparation of campaign data to the generation of content, ensuring that the messages were well-suited for their target audience.

Solution
We developed a Slack-based automation tool using JavaScript and OpenAI API. This tool automates the entire campaign process, including:
- Preprocessing: The tool organizes and cleans the campaign data, making it ready for further analysis.
- Systemizing: It categorizes the data into relevant segments, ensuring that the campaigns are targeted effectively.
- Extracting: The tool identifies key insights from the data that can be used to craft effective collaborative messages.
- Generating: Finally, the tool uses an LLM-based model to create campaign content that is tailored to resonate with the target audience.

Client Background
Sleep Dynamics, a company dedicated to improving sleep health through innovative products and services, faced the challenge of managing their expanding operations. With growth came the need for a more efficient way to handle their core business processes, from finance to customer relationships. Additionally, they required a solution that could integrate these processes in real-time, providing them with a clear overview of their operations.

Challenge
The main challenge for Sleep Dynamics was the lack of a unified system to manage their diverse business functions. As the company grew, their existing systems became insufficient to handle the complexity of all operations. They needed an end-to-end solution that could streamline processes, enhance decision-making, and ultimately drive revenue growth.

Solution

We implemented an AI-based ERP system tailored to the specific needs of Sleep Dynamics. This comprehensive solution included the following modules:
- Finance and accounting
- Human resources
- Supply chain management
- Inventory Management
- Procurement
- Sales and Marketing
- CRM
- Business Intelligence and Reporting

The solution also included AI-driven enhancements such as:

- Data enrichment: Team implemented AI to provide deeper insights from existing data, helping to refine strategies.
- Financial audit: AI-assisted audits to ensure compliance and accuracy in financial reporting.
- Inventory prediction: Predictive analytics to optimize inventory levels and reduce waste.
- Delivery-need-prediction: Forecasting delivery needs to improve logistics and customer satisfaction.
- Upsales drivers: Identifying key factors that drive additional sales, enabling more targeted marketing efforts.

Client Background
Old Well Partners is a global investment firm managing capital on behalf of leading institutional investors and family offices. They specialize in consolidating and analyzing financial data to deliver advanced reports and deep insights, aiding their clients in making informed investment decisions.

Challenge
Old Well Partners needed a platform to handle vast amounts of financial data from multiple sources. They required a solution that could quickly gather, process, and analyze this data to produce accurate and insightful reports. The existing processes were slow and inefficient, which hampered their ability to provide timely information to their clients.

Solution
We developed a comprehensive software solution using a microservices architecture built on the Django REST Framework. This system significantly optimized the data collection process with enhanced algorithms. Additionally, the foundation was set for integrating AI models to enable future forecasting functionality.

Features
Optimized Algorithms: Improved data collection speeds, reducing the time needed to gather and process information from various sources.
Microservices Architecture: Built using Django REST Framework, ensuring scalability and easy maintenance.
AI Model Foundation: Laid the groundwork for AI-driven forecasting, paving the way for more advanced analytical capabilities in the future.

Business Value
- Enhanced Efficiency
The new platform provided faster and more reliable data processing, allowing Old Well Partners to deliver timely and accurate reports.
- Improved Decision-Making
With advanced reports and deep insights readily available, clients could make better-informed investment decisions.

Client Background
Scouras Consulting is a technology firm focused on providing software solutions to the financial services industry. Headquartered in New York, the firm draws on more than 20 years of experience developing IT solutions for major financial institutions including Citi, Barclays and Lehman Brothers.

Challenge
Scouras Consulting sought to develop an Android-based financial application to aid traders in staying updated with their current portfolios and positions. The application needed to provide the latest risk and position numbers, aggregated at various customized levels. Serving as a mobile supplement to the Imagine trading and risk management platform, the application was required to seamlessly integrate with existing systems used by the majority of major financial market players.

Solution
The newly developed Android application delivered significant improvements and benefits for traders:
- Enhanced Mobility: Traders could now access critical information on their portfolios and positions from anywhere, at any time, enhancing their responsiveness and decision-making capabilities.
- Real-Time Data: The application provided up-to-date risk and position numbers, ensuring traders always had the most current information.
- Customizable Experience: The ability to customize views allowed traders to focus on the data most relevant to their specific needs and strategies.
- Integration with Existing Systems: Seamless integration with the Imagine platform ensured that the mobile application complemented and enhanced existing trading and risk management processes.

Client Background
Our client partnered with Wells Fargo Securities, a major player in the financial market. Wells Fargo Securities required a comprehensive platform to streamline their trade processing and management operations.

Challenge
The primary challenge was to replace an outdated system with a new, high-performance solution that significantly enhanced timing, usability, overall performance, breadth of functionality, and stability. The initial phase focused on treasuries and munis, with future plans to expand to corporate bonds and derivatives.

Solution
Glorium Technologies developed a cutting-edge trade processing and management platform using a combination of advanced technologies (.NET/C#/WPF for the frontend, Java for the backend, and Oracle and Coherence for database management). We ensured seamless integration and high efficiency. Infragistics was utilized to create an intuitive and user-friendly interface.

The new system provided Wells Fargo Securities with a robust and reliable platform that drastically improved their trading operations. Key benefits included:
- Enhanced timing and performance: The new system processed trades more quickly and efficiently, reducing delays and improving overall performance.
- Improved usability: A user-friendly interface designed with Infragistics made the platform easy to navigate, increasing productivity.
- Broader functionality: The platform’s expanded functionality allowed for comprehensive management of treasuries and munis, with future capabilities for corporate bonds and derivatives.
- Increased stability: The robust architecture ensured high stability, minimizing downtime and ensuring smooth operations.

Client Background
The client is a privately funded startup aimed at providing remote hosting services of the trading algorithms.

Challenge
The idea is to develop a platform connecting to various brokerage platforms or ECN APIs to manage the exchange trade execution lifecycle. The platform would also host several customer-submitted algorithms that would provide order execution signals with the ability to override control from the provided user interface manually.

Solution
The significant difference between other algorithmic trading platforms is that the trading algorithm is now running remotely on a reliable fault-tolerant infrastructure, supplying quotes and submitting orders over a redundant high bandwidth internet connection, which plays a critical role in high-frequency trading systems.
With this service, the customer is now free from maintaining his hardware and infrastructure and can focus on his direct needs for trade algorithm development.

Features:
Glorium Technologies collaborated closely with the client to develop an innovative algorithmic trading platform with the following key features:
- Quote delivery and order execution API to be consumed by client algorithms
- Plugin (algorithm) hosting ability
- Built for high performance, low latency, and fault-tolerant trade execution
- User accounts with enforced feature and resource consumption limitations for different levels of subscription
- Connectivity with several major brokerage platforms and financial data suppliers
- Order management implementation
- Specialized web and mobile (Android, iOS) UI for algorithm execution control
- Extensive reporting and analysis for all completed trades
- Real-time risk and P&L calculations

Client Background
Our client, an IT company specializing in Capital Markets development, is renowned for creating highly customizable products designed to streamline the daily operations of financial companies.

Challenge
The primary challenge was to develop a robust, comprehensive platform capable of supporting the multifaceted needs of financial institutions. The client required a solution that would:
- Handle complex trade executions and lifecycle management.
- Ensure regulatory compliance.
- Provide real-time data and analytics for informed decision-making.
- Enable seamless integration with various APIs and third-party services.
- Offer customizable user interfaces and workflows to meet specific user needs.

Solution
Glorium Technologies played an integral role in the development of the client’s platform from its inception. The platform manages the full lifecycle of the trade along its route across front and middle offices, operations, documentation and other departments. All necessary regulatory and compliance reporting is supported as well. The platform is currently used at major investment firms like Royal Bank of Canada, Millennium Partners, Chicago Mercantile Exchange, etc.

Features:
- User access level enforcement
- Trade execution in quick and full ticket formats
- Trade History & Audit Trail
- Trade visualization in customizable blotter formats, including cross-product views
- Trade workflow customization
- Straight through processing (STP) for electronic executions on ECNs/SEFs
- Derivative activity capture (inception, unwinds, step-ins, step-outs)
- Integration with Risk, MTM, Fee, Net Money APIs
- Real time management information data – activity, revenue, trader, sales people

Client Background
Our client is a leading provider of DME solutions, serving a diverse range of healthcare facilities and patients.

Challenge
The client wanted to enhance their inventory management and delivery models to better meet the dynamic needs of the healthcare industry. Client’s goal was to reduce expenses, optimize inventory allocation, and improve delivery efficiency while ensuring high-quality patient care.

Solution
Glorium Technologies partnered with the client to develop an advanced inventory management and delivery solution using deep learning models and data-driven approaches. Our solution included the following key components:
- Developed advanced inventory management and delivery models
- Estimated potential expense reductions and сonfidence intervals
- Developed interactive data-driven analytics and insights

Business Value
- Reduced operational costs
Our client provided a solution By optimizing inventory allocation and delivery processes, DME provider achieved substantial expense reductions.
- Enhanced decision-making
The interactive analytics platform provided real-time insights, empowering DME providers to make data-driven decisions.
- Increased service quality
Optimized inventory and delivery processes led to improved service quality and patient satisfaction.

Client Background
Our client, a leading tech company, excels in delivering tailored solutions designed for large organizations, including government authorities. With a strong focus on managing intricate software projects, they build customized software and handle data for various IT requirements.
Their experience extends to creating security systems that include facial recognition, visitor background and eligibility check, defining access levels, and reporting.

Challenge
The client needed assistance in developing a modern visitor management system for secured facilities. The initial project aimed to create the app for a single object that could later be scaled for the entire network. A visitor planning to attend the venue should have the ability to sign up, get additional information about access requirements and criteria, go through the validation process, and get a pass to enter the restricted area.
To launch the product, the client needed to ensure that the solution met the necessary requirements to operate on a secure government network and handle personal information, particularly ATO IL 4. For this purpose, it should undergo a rigorous audit and obtain the required approvals.

Solution
Our team developed the product prototype for a single location and continues working on its implementation and scaling a local solution for the entire network.

Features Created:
- The ability of authorized personnel to invite visitors to the restricted unit
- The ability for authorized personnel to manage projects and locations
- The ability for security officers to check visitor information, including background verification
- Admin tools for user management

Client Background
Our client is a prominent healthcare provider dedicated to offering high-quality patient care through advanced technological solutions.

Challenge
The client faced challenges in managing patient appointments efficiently, dealing with a high volume of support calls, and mitigating the negative impact of no-show appointments. To address these issues, they sought to develop an innovative scheduling module that would enhance patient interaction and improve appointment adherence.

Solution
Glorium Technologies partnered with the client to develop a comprehensive virtual assistant module for patient scheduling. The solution incorporated generative and predictive AI to streamline the scheduling process and reduce no-show rates. 
Our solution reduced support calls by 55% and negative impact of no-show appointments by 73%.
The virtual assistant module not only improved operational efficiency but also enhanced the overall patient experience by providing:
1. 24/7 availability: Patients can schedule or reschedule appointments at their convenience, without being restricted to call center hours.
2. Personalized communication: The AI-driven interactions are tailored to individual patient needs, fostering a sense of personalized care and attention.
3. Ease of use: The intuitive interface simplifies the scheduling process, making it accessible to patients of all ages and technological proficiency levels.

Business Value
Operational efficiency
The significant reduction in support calls and no-show appointments improved the overall efficiency of the scheduling process, allowing staff to focus on more critical healthcare tasks.
Cost savings
Decreasing no-show rates and support calls led to considerable cost savings, enhancing the financial performance of the healthcare providers.
Patient satisfaction
The enhanced scheduling experience and personalized interactions resulted in higher patient satisfaction and retention rates.

Challenge
There was a need for a solution that allows precise and accurate assessments of proptosis patients from their homes, reducing the need for pre-surgery hospital visits and providing real-time post-surgery evaluations.

Solution
Glorium Technologies developed an end-to-end ophthalmological measurement system using advanced computer vision segmentation models. Our model outperforms Google Facemesh, providing more accurate and reliable measurements.

Features:
Our developers developed an AI model to generate synthetic images of faces. These images were then auto-labeled and preprocessed to adapt to CV models, ensuring high-quality training data and robust model performance.
- CV segmentation model
To guarantee precise and accurate measurements, we implemented advanced segmentation models capable of accurately identifying and measuring various parts of the eye, including the eyelids, eyebrows, iris, and sclera.
- Web/smartphone app:
The solution includes a user-friendly web and smartphone app, allowing patients to conduct assessments at home without the need for hospital visits.

Business Value
- Improved patient outcomes
Web/smartphone app eliminates the need for pre-surgery hospital visits and ensures that patients can access the tool anytime, anywhere.
- Boosting revenue
By streamlining the assessment process and reducing the need for in-person visits, the hospital increased its capacity to serve more patients. This efficiency led to a significant boost in revenue.

Client Background

Getplume is a telemedicine project that provides gender-affirming care from home. It is the largest healthcare provider to the trans and nonbinary community in the US.

The product is represented as a combination of white-label solutions and automated integrations between them to establish comprehensive clinical workflows.

Challenge

The core challenge faced by GetPlume was supporting diverse white-label solutions and establishing automated workflows among them, ensuring a seamless, efficient, and user-friendly experience for the care team and the patients. This complexity was further compounded by the need for precise billing systems and comprehensive data analytics to drive informed decision-making.

With Softhread, all paper bureaucracy is eliminated with several clicks.

Solution

The Glorium team is represented by the following roles:

- Product Management – responsible for the Billing projects and enabling sound accounting practices through the development of Plume DTC billing system. Also, this team is responsible for the Patient Portal configurations.

- QA Team – supports Plume engineering teams by ensuring the quality of developed automations

Business Value

Informed decision-making. The facilitated data-driven decisions, aligning operations closely with organizational goals.

Operational efficiency. Seamless integration and automation reduced manual intervention, significantly speeding up clinical workflows.

Enhanced user experience. The streamlined processes enhanced patient engagement and satisfaction.

Client Background

Assure Infusion, a manufacturer specializing in IV fluids like Sodium Chloride, Dextrose, Lactated Ringers, and Sterile Water, aimed to eliminate this obstacle. Committed to U.S. manufacturing and stringent quality control, they sought a robust solution to manage product orders and increase sales efficiently.

Adhering to the highest quality standards, Assure Infusion provides a diverse range of intravenous fluid products. These are critical elements for intravenous therapy used by healthcare workers nationwide.

Client Background

- Assure Infusion, a manufacturer specializing in IV fluids like Sodium Chloride, Dextrose, Lactated Ringers, and Sterile Water, aimed to eliminate this obstacle. Committed to U.S. manufacturing and stringent quality control, they sought a robust solution to manage product orders and increase sales efficiently.

- Adhering to the highest quality standards, Assure Infusion provides a diverse range of intravenous fluid products. These are critical elements for intravenous therapy used by healthcare workers nationwide.

Solution

User Site

Account Creation: Users can create their accounts, providing a streamlined process for B2B clients to engage with Assure Infusion.

Order Management: Once registered, users can easily place new orders for IV products and track their status in real-time.

Customer Overview: Internal users have a dashboard that allows them to view customer details, helping to facilitate personalized service.

Features Created

- Order Creation: Users can effortlessly place orders for various intravenous fluids, ensuring quick and straightforward procurement.

- Order Tracking: The application provides real-time updates on the status of an order, from the production stage to shipping, thus empowering users to plan accordingly.

- Reporting: A robust reporting module allows Assure Infusion to generate diverse reports. These can range from sales analytics to inventory status, aiding in strategic decision-making.

Client Background

Leica Biosystems is a pioneering company in cancer diagnostics, renowned globally for its comprehensive workflow solutions. They provide a wide range of products, each tailored to specific steps in the pathology procedure, encompassing everything from sample preparation to staining, and from imaging to reporting.

Uniquely, Leica Biosystems oversees the entire process from biopsy to diagnosis, enabling them to eliminate barriers at every phase. Guided by their core mission, “Advancing Cancer Diagnostics, Improving Lives,” the company consistently strives to make a meaningful impact in the realm of healthcare.

Challenge

- The client engineered a specialized tissue scanner Aperio GT 450 with hi-rez scans.

- Despite this innovation, they encountered difficulties in identifying a contemporary software solution that would further elevate their product’s capabilities.

- The company had not enough internal resources for developing new features, so they needed help with covering the system with automatic tests.

Solution

Glorium Technologies helps Leica with the software development of new features, auto testing and Devops activities. After the research our team proposed a number of tools and implemented them according to the unique requirements of the client. We rebuilt it on the appropriate frameworks which helped to conduct the initiation period quickly and easily.

As a result the productivity and stability of the system were improved. Now software helps with the segmentation, analysis and processing of hi-rez scans. Additionally, the team works on the scanner UI itself.

Challenge

The app needed to serve as a tool for everyday professional use. That meant it had to provide a list of properties to visit, perform an assessment, map the locations, and create the shortest route. In addition to serving as a task manager, it needed to allow the creation of floor plans and attachments. As appraisers sometimes work at sites with poor cellular coverage, the product also needed to offer offline support.

Solution

We have vast experience in the Real Estate domain, so we understand what appraisers really need in their day-to-day work.

Results

We created an app that stores detailed information of all CRE object parameters and serves as one point of knowledge. This universal instrument allows appraisers to complete inspections from desktop or mobile (tablet) and go paperless.

Challenge

Although the application was already developed, the client turned to Glorium as maintenance and technical support were needed. It also required many developmental improvements, including enhanced integration through modern APIs, better data infrastructure, overall technical health, and better scalability. The main challenge was to improve the user experience by advancing the platform’s technical characteristics and enhanced logic.

Solution

To improve the user experience, Glorium implemented AI-driven logic that assists in obtaining the real intent of a user and immediately offers relevant solutions. Additionally, we added guided interviews to better process user requests and built a sophisticated data infrastructure with Microsoft Azure.

Results

The new intuitive interface guides the user all the way from the patient’s admission to a hospital, until final discharge. These changes boosted staff efficiency by saving time and allowing management to meet hospital performance targets.

As a result, Glorium transformed the platform into a customized CMS. We improved the overall performance, enhanced external integration with other data sources and systems, and significantly strengthened the user experience with AI-driven solutions for better platform navigation.

Product Background

Our client is one of the world’s leading business media brands, with multiple media channels and scores of data. As the company expanded, their previous data storage models no longer served the company. In search of a solution, the client turned to Glorium to migrate their data servers and applications to a versatile and refurbished cloud data platform.

Challenge

A company desperately needed to move away from an on-premises model to a cloud-based solution. The client turned to Glorium and requested DevOps assistance in relation to migrating their data and legacy applications from on-premise data centers to the Google Cloud Platform. The challenge was to transport data and services with minimal downtime or data loss and enhance the data architecture accordingly.

Solution

Our team of distributed DevOps engineers created the data infrastructure and executed services migration from the on-premise data center to the Google Cloud Platform.

In addition, our team enhanced CI/CD for applications and services to further boost system operations. 

Client Background

MouthWatch is a dental technology company specializing in developing innovative oral health solutions. With a focus on improving patient care and enhancing communication between dental professionals and their patients, MouthWatch offers a range of products and services designed to revolutionize the dental industry.

Challenge

The client developed a specialized intraoral dentist web camera that enables remote teeth diagnostics. However, they faced a challenge finding a modern software solution to enhance their product offering.

They required a multifunctional platform that would enable patients to schedule appointments with their dentists conveniently, conduct online meetings for remote diagnostics, securely store video recordings and medical records on servers, create doctors’ accounts, and provide them with the possibility to exchange data safely.

The existing third-party solution they relied on was neither cost-effective nor scalable, hindering their growth potential.

Solution

Glorium Technologies developed a robust platform that offered the flexibility to schedule appointments through their own interface or seamlessly integrate with third-party providers. Additionally, Glorium Technologies leveraged its expertise in telehealth technology to enable web conferences with the capacity to invite up to 2,000 participants.

The company’s focus on creating a fully HIPAA-compliant platform without scaling restrictions ensured the highest standards of data privacy and accommodated the growing needs of healthcare professionals.

Results

Upon receiving the Minimum Viable Product (MVP), the client proceeded with final edits and implementation in collaboration with their internal team.

As of now, all forms of communication, ranging from messaging and photo sharing to clinical files, images, audio and video recordings, live videos, and care documents like visual treatment plans, can be conveniently accessed within a unified and searchable communication thread.

Product Background

Zentinel is a web application that gives users control over their data. Zentinel has revolutionized data security by offering users complete data protection by ensuring that all user companies remain 100% compliant with CCPA and GDPR. Zentinel users can seamlessly implement, operationalize, and generate accurate reports in just days, rather than months.

Challenge

The key challenge was to develop a robust and secure data infrastructure in the form of a web application from scratch. The application needed to connect data subjects with data consumers, allowing them to exchange their information in a highly secure and customized way.

Solution

Glorium developed a web application from scratch and built a secure solution for data storage. We implemented the customized authentication solution in such a way that no information relating to a user’s password is stored on servers. The application includes the following features:

- Off-premises encrypted data storage

- Data rights management

- Identity services

Product Background

Workload automation for day-to-day routine activities for interpreting physicians is difficult without the assistance of Robotic Process Automation (RPA). Such software decreases the need for manual re-input of the same data across different applications, thus increasing speed and productivity for reading the studies.

Challenge

Our client needed our help with creating a Multi-PACS Workstation that would increase accessibility to studies by connecting info about them and enabling the gathering of the studies’ information across regions and different medical facilities.

For decades, the same problems have plagued the radiology community: lack of accessibility to studies, working on disparate systems that have zero connectivity, and inability to read or dictate studies across regions due to medical facilities’ deficient interoperability. Dextro Imaging Solutions’ Multi-PACS Workstations solve these longstanding issues and so many more.

Solution

Our technical expertise, and collaboration with other medical experts, let us develop a complex system—the “switcher” that makes PACS selection instant.

Each configured blade (up to 4 blades) supports a PACS client. The KVM connects these four blades.

The doctors can instantly switch to any configured PACS while the additional sites continue to run independently and without interruption.

The doctor can only click on the appropriate work list monitor screen, and the software should instruct the KVM to switch to that blade (for the diagnostic monitors).

Results

The software was developed from scratch and seamlessly integrated into radiologist-related workflows. 

With the help of Dextro, doctors are free from spending countless hours and resources interpreting work lists thanks to this accurate and efficient automation technology.

Product Background

MCI (mild cognitive impairment) and signs of early dementia are hard to detect; however, studies show that playing the piano has the ability to highlight even the slightest cognitive abnormalities.

Playing the piano involves multiple sensory processing, comprehension, quasi-simultaneous decision-making, and action execution. In short, it is a sure-fire way to analyze and evaluate brain functions and train minds. In order to test and prevent cognitive disorders, our client (a musician) came up with the idea of building a piano emulator from scratch.

Challenge

In order to build a piano emulator app that could detect and calculate the probability of developing cognitive abnormalities associated with MCI and early-stage dementia, the emulator had to be:

- Fast and accurate, with gamified cognitive checkups that fit the clinical workflow

- Suitable for assessing pre-clinical, early dementia and MCI

- Operable by a non-specialist

Solution

The app was released with the following features:

- Visuospatial and motor encoding

- Time-stamped finger responses

- Audio cues

- Integrated the tool for different PACS archives/VNAs compatibility

- An algorithm that collects user-response and analyzes data

- Integrations with EEG and eye-tracking

- Recording history

- Data export

- GDPR and HIPAA compliance

Results

This app evaluates executive functions, such as inhibition control, attention, multisensory memories, and various brain-region activities.

In this way, the software acts as a dementia prevention tool, contributing to remote care for cognitive monitoring. As for now, our client is looking for opportunities to collaborate with Philips as their headsets could enhance app performance and function.

This software is expected to launch as a medical device in the EU at any moment.

Client Background

Control.IT is the largest German provider of software that has been developing IT solutions for real estate and portfolio management since 1995. The company provides/maintains a database that helps property managers to identify risks and opportunities and make the right investment decisions.

The software calculates forecast values, supports investment and divestment decisions, enables value-oriented portfolio management, and delivers controlling and management reports at the click of a button.

Challenge

In addition to its core product, the client had specific objectives to address and sought to support targeted integrations with bison.box. The goal was to streamline the workflow of property managers and automate specific tasks, ensuring a more efficient and seamless experience.

The challenge included complex integration of data uploading technologies in dynamically changing connections, as well as the need to implement the function of uploading only a portion of the data from a massive data model and enable 3rd party integrations.

Results

Collab App started in 2019 and was built to solve specific tasks and support specific integrations with bison.box. It’s sold as part of a bison.box package and has eased the workflow of property managers adding value to the main product.

The bison.box offers versatile connectivity options with a wide range of upstream systems. Through automated interfaces, the administrative systems and financial accounting can seamlessly provide all necessary data and information. To address the challenge of diverse data sources, a dedicated tool effectively structures and integrates heterogeneous data within the bison.box.

This enables users to access standardized and comprehensive data from the upstream systems, including historical time series for in-depth analysis.

Client Background

Thought Technology is the world’s leading biofeedback, neurofeedback, and physiological instrument manufacturer. Their instrumentation goes beyond monitoring and recording diverse physiological and mechanical signals; it also offers real-time analysis and feedback. Through a range of auditory and visual methods, the technology promotes self-regulation and conditioning, making a significant impact on therapeutic treatments and clinical assessment protocols.

Challenge

Our client approached us to upgrade and enhance their mobile application, designed to aid users in improving mental performance and achieving advanced self-regulation skills.

The company needed to integrate specialized sensor technology, including biofeedback, neurofeedback, heart rate variability, and electromyography, to enable therapeutic applications. They also needed to ensure that reports, crucial for diagnostics, were easy to access and user-friendly.

Solution

To address the challenge, our team has developed cutting-edge mobile applications for Android and iOS devices that seamlessly integrate with hardware through BLE protocol. Our applications boast specialized quick evaluation protocols and robust reports that cover all evaluations.

We also created a self-regulation screen that incentivizes performers to stay engaged and achieve their personal best during training sessions. Trust us to deliver accurate and sensitive monitoring that will take your performance to the next level.

Client Background

The Client is the leading provider of enterprise-wide document delivery solutions for the healthcare industry. Their product automates sending high-volume reports such as lab results, a solution for hundreds of top hospitals.

Challenge

The former product’s interface was in production for eight years and required significant improvements. The manufacturer turned to us to develop an interactive smart solution to reform and monitor hand hygiene and eventually reduce hospital-acquired infections.

After the work with the interface was completed, we also faced the challenge of tracking and managing device statuses: for the responsible person to fill it on time.

Solution

We reworked the entire front-end part of the application using the latest technologies to provide stability, a mature interface, and better user support.

Our team also developed an ML pipeline to predict the filing level of smart disinfector devices based on historical data. The algorithm can take into account weekdays and holidays.

Results

Development of the fundamental part of the product took about 18 months. After that, the client engaged us with another part of the project – building a mobile application that directly collects data from dispensers through NFC. It is a server-side application that runs automatically and sends four daily reports with predictions to responsible people. That facilitated the work of hygiene specialists in the hospitals.

Product Background

With the release of portable systems, ultrasound, which had once been limited to radiologists, was suddenly being used by a vast number of medical specialties from emergency medicine to anesthesiology. Today, Blue Phantom (acquired by CAE in 2012) is a major producer of the most realistic and durable anatomical task trainers available.

Challenge

CAE has been collaborating with us on other projects, so the company addressed us with a request to develop a new educational platform for ultrasound procedures training.

Solution

The tech driver for this app is Augmented Reality (AR), which allows the virtual model to be laid on top of the physical. The model can then change size and switch between the skin and vessel layer.

Results

We’ve transformed the Client’s idea of building an educational platform into a fully functional app from scratch. The prototype was ready in half a year, and the product was later presented at The International Meeting on Simulation in Healthcare (IMSH) 2020 in USA. Our responsive software added value to the training process and allowed tutors to track the process remotely.

Product Background

The Client is the leading provider of enterprise-wide document delivery solutions for the healthcare industry. Their product automates sending high volume reports such as lab results, a solution for hundreds of top hospitals.

Challenge

The product was powered by Microsoft Silverlight technology, as the company revealed, won’t be supported commencing next year. So, the main goal was to update the existing web application with the latest technologies and ensure a seamless transfer.

Solution

To allow delivering information more flexibly, we:

- Recreated a web application using Angular and C#

- Integrated part of the old Silverlight app into the new one to support real users experience

- Provided backward compatibility with the early app to allow smooth transfer

- Applied reverse engineering of the previous app to facilitate the migration of FAX functionalities

Results

Our solutions helped to update the software and remove technology disruptions that caused lost-in-transit paper reports or separate prints occurrences. Smooth documents management positively affects patient care allowing health providers to focus on diagnostics and treatment.

Client Background

Astarte Medical is a precision nutrition company that turned to us to build software based on proprietary predictive analytics. The solution is meant to improve outcomes for preterm infants with a suite of digital tools and diagnostics.

Challenge

We were delegated with a challenging task to build a forecasting & tracking web application for the infants’ treatment plans from scratch.

Solution

To standardize feeding, optimize nutrition, and quantify gut health of preterm infants with our app, we implemented:

- Integrations with various protocols to suggest feedings for babies based on the clinical indicators, growth speed and other historical data (like previous feedings)

- Tracking of the protocol suggestion modifications

- Central identity server

- Rounding report tab to show consolidated information about the patient

Results

Core to Astarte Medical is their comprehensive and proprietary dataset, which integrates feeding protocols, microbiome profiles, and clinical information. We synchronized it with the web application making it generate actionable suggestions in the form of a decision tree.

- Infant parameters are logged into the app which measures the Protocol compliance for tracking & optimizing their nutrition

- Decision tree – AI-based platform that suggests a diet based on the lessons learned from the previous cases

Client Background

Glorium Technologies has been with client for eight years now. Throughout our partnership, we’ve created a range of outstanding products helping thousands of people to live their best healthier lives. We were excited to develop seamless digitized solutions for the client’s business in e-paperwork, revenue cycle control, and inventory tracking and bring them to the customers via thorough content marketing.

Altogether, it helped the company to fill its sales pipeline and grow into a leader in HME/DME software provision.

Challenge

Glorium Technologies had to create a user-friendly and customizable automatic billing platform from scratch. The tricky part was to include the three kinds of payers into the system, as the client’s business implies collecting and processing separate payments from customers, insurance companies, and patients.

Solution

Glorium Technologies has developed an easy-to-use platform. To manage the billing lifecycle from payer to patient, we integrated the secure payment systems and implemented invoice-issuing features. The software system includes patients, payers, insurance, and providers into one cohesive system. Intelligent automation allowed us to decrease the time of payment, increase collection and reduce administrative setbacks.

Results

We built a complete all-in-one solution for HME/DME providers and patients. Being over three years in production, we help client’s business go paperless, improve operational efficiencies, and provide better patient care.

Glorium Technologies keeps growing the application, providing tech support and updates. The company’s top management, who first controlled our collaboration process hands-on, eventually had to move away from it. The reason? They are too busy closing new deals and delivering to more and more clients now. And though we are sad we don’t see them this much now, this splendid result speaks for itself.

Product Background

The Exponential Health application aims to automate an alternative way to the “traditional broker” model to help organizations cut insurance costs on purchasing meds. The application seeks to help organizations choose between available PBM proposals by comparing them against existing contracts and their renewal costs. Exponential Health turned to Glorium with a request to build a web application from scratch.

Challenge

The client needed a scalable, fast, and secure web application to deal with complex calculations and large volumes of data that needed to be processed in a short time span. One of the key challenges was reaching maximum levels of accuracy when launching calculations in a multithreaded environment. Another issue was smooth integration with external databases.

Solution

Our team has created an environment that accurately calculates optimal prices based on the data sets uploaded to the system, and serves as a reliable data source to brokers. Glorium also ensured seamless integration with Medi-Span and NADAC databases and implemented SFTP protocols for the given databases.

Results

Though the web application is still in the development stage, the client already has a workable multi-threaded environment where fully functional applications can be tested. The solution is currently capable of running large datasets and producing accurate results in the given timeframes. The Exponential Health application also helps organizations choose between available PBM proposals by comparing them against existing contracts and their renewal costs.

Product Background

The app provides access to current medical coding information, making the once laborious code review process intuitive and faster. The app is accessible for any hospital personnel who need access to coding, billing, and regulatory information.

Challenge

The product’s front end was built on an early version of Ext JS and needed significant rework. The client had a contract with Sencha and was satisfied with the framework performance and various enterprise tools it provided. Afterward, they decided to stick to Ext JS and upgrade Ext JS 4 to Ext JS 7. In short, the main problem turned out to be a global lack of available developers with solid experience using Ext JS.

Solution

At Glorium, we ally with the best developers offering our clients a diverse range of skills and technologies. As our services adhere to enterprise needs, our in-house devs team is trained in Ext JS to fill in the gaps. This is what allowed us to pick out four employees to extend the client’s team. The newly formed squad included a database developer, two Ext JS developers, and a manual QA.

Results

Our dedicated Ext JS crew rewrote the app following two years of close cooperation with the client’s team. Such changes led to:

- better app performance

- revamped UX/UI

- app resilience and adaptability for enterprise workflow

- support of up-to-date technologies

The client was more than satisfied with our team’s efficiency and value for money that they couldn’t find onshore.

Product Background

BIOMODEX® is a digital health company founded with the intent of developing complex training and case-specific rehearsal solutions for physicians based on proprietary 3D printing technology.

The company commissioned our team to develop technology that would allow them to print 3D models of various human body parts.

Challenge

Medical 3D printing helps settle surgical approaches, performs a range of operational training or case-specific rehearsals, and provides doctors with a realistic and practical experience.

Developing 3D models is challenging due to the complexity and irregularity of human anatomy. Our principal responsibility was to ensure the correct extraction of requested organs and to provide a smooth, accurate, and fast 2D to 3D converting process.

Solution

Patient data generated by non-invasive MRI, CT, or 3D Ultrasound is used to assist in detecting disease, abnormal anatomy, and deviations. The offered software is able to:

- Process the data from imaging studies

- Precisely select the region of interest (body part)

- Perform segmentation of DICOM images

- Create STL for 3D printing

Results

We drastically speeded up the process of converting MRI, CT, and 3D Ultrasound DICOM images into 3D printed models, completing the process in merely half an hour, allowing our client to successfully commercialize this solution.

Client

A world-leading platform for enterprise imaging that provides excellent imaging solutions to support clinical confidence and improve the delivery of health outcomes. The company helps healthcare professionals (worldwide), by providing them with secure, effective, and sustainable imaging data management.

Challenge

As a large corporation, the client maintains a front-end development center where custom UI components are created and later distributed to multiple inner departments. The client had a specific request: to expand their core development team with the addition of highly-skilled Angular developers. Due to strict requirements, the client found it difficult to find and hire developers according to their technical and financial requirements.

Solution

Glorium provided the client with required senior resources to work remotely with the Agfa core unit.

The company benefited from the remote development sourced by the Glorium team due to their profound experience (10+ years) and a broad mindset, geared toward building reusable components for covering the in-house team’s emerging demands. They were also tasked with finding generic solutions for common cases based on best practices.

Results

Our Angular project for the client has lasted for over 2 years, answering demands, and delivering comprehensive and consistent solutions.

During the contract, the client accepted various custom UI components such as buttons, tables, grids, sliders, etc. They were developed with the perspective they would be reused with minimal effort. Our team also contributed to the components’ maintenance and continuously worked to improve the newly-created pieces.

Challenge

The startup was looking for marketing materials to create a great pitch material for future investment.

Solution

Our team of designers, market researchers and business analysts created a clickable Figma prototype to pitch investors.

Results

Visualized interactive design prototypes are ready and were used for the client’s presentations. We’re ready to help our client with building the platform once they’ll need software development skills of our team.

Challenge:

Our client manages a lot of commercial real estate facilities in the US. Their aim was to reduce tenant churn. They could do so by making educated guesses about whether the tenants will churn and offering them appropriate discounts or other promotions and by understanding better how different factors influence tenant decisions.

Solution

Using Machine Learning, we built a predictive pipeline that evaluates the probability of tenant churn and provides an analysis of how different features influence that probability. To get to this stage, we had to provide business analysis, figure out which features should this backend system have, have model training, and deploy the server.

Results

The final result of the project is an ML pipeline that predicts probability of tenant churn, can continuously improve its accuracy by training on more data, and provides extensive model explainability. The system proved its efficiency by meeting customer’s historic data and being more accurate than it.

Challenge

Our client needed a system that would help clients ease the administrative burden at the front desk of by providing fast and secure visitor management. Reception operations, which take much out of a productive working day, should be fulfilled in a matter of seconds.

Solution

Glorium Technologies team helped Greetly to develop and implement various cutting-edge functionality for the platform. Now the developed software helps end-users with custom workflow development.

The functions that were developed include the visitor log, and visual style customization. Back end part of an app was developed and is on continuous improvement by Glorium Technologies engineers.

Results

Greetly claims it is the world’s most customizable visitor management software. It represents one’s brand and fulfills all the reception needs. Glorium Technologies delivered a fully customizable visitor management system that serves enterprise and SMB clients across the globe.

Challenge

Our client specializes in fertility testing. Many women and couples are planning their future families and are willing to test whether they have an opportunity to conceive a baby.

We were addressed with the challenge of creating a web portal to enable the company with a tool to gather needed information and exchange it between doctors and patients, following all the healthcare regulations.

Solution

We’ve delivered a web portal that automates the self-testing process and consequently helps a woman or a couple to understand how ready they are for having a baby (to get fertility results).

Remote testing via a special ultrasound device is used. The device is sent to a woman by mail.

The health intake survey questionnaire is also fulfilled remotely via a web portal. All the communication is completely remote, and this is the only company that offers a service like this one.

Results

A web portal for women and couples to test their fertility was created. Now it operates across the US. it is a portal for doctors, administrators, and clinicians for their internal processes. The software to create automation and improve management quality was created by Glorium Technologies.

Our clients claim they’re the only comprehensive fertility consult that consumers can do from the privacy of their homes.

Challenge

Our client, a manufacturer/distributor of sleep therapy and oxygen therapy products, had a mobile application for Android and iOS. The UI of the app wasn’t spectacular, so they were pursuing the idea of a new app. A mobile app that would help users fit their masks and, consequently, sell more medical devices for the treatment of sleep-disordered breathing and oxygen therapy

Solution

We have created a new application from scratch. With the help of it, one could select an appropriate type and size of the mask using 3d graphics: they have their faces scanned, then three types of masks are offered based on the answers to the questionnaire, and a user can select the one.

The improved reporting functionality allowed users to keep track of their sleep data and ensure they use the device appropriately. We created an app that can display the reports with multiple indexes: usage time, AHI, Pressure, etc. Graph visualization was also suggested and designed. The reports can be downloaded and shared with anyone involved.

Results

Efficient and convenient mobile app with modern UI for a developer, manufacturer, and distributor of medical devices.

Glorium Technologies developed a patient-centric platform that helps users (doctors) get instant access to the most critical information of all patients. That helps clinicians quickly receive information about the willingness of patients to be intubated, resuscitated, or become donors — via the QR Code.

Whenever information is entered, the system will trace all changes: who entered this information and when.

Once the critical information is filled in, the patient (or Proxy) can share the access with doctors based on the different permission sets: view only, edit, or share information with other doctors.

With Softhread, all paper bureaucracy is eliminated with several clicks.

Solution

Glorium Technologies team created a platform that enables patients or their representatives, and doctors to cooperate during hard times (operations, emergencies, etc.). All the crucial decisions (intubation, resuscitation, organ donation) could be signaled in several clicks; all repeated fields will be duplicated. Once this information is entered, the patient, or representative, can invite doctors with permission to view only, edit, or share information with other doctors.

At the same time, doctors can reach all critical information using just a QR Code.

Results

The platform was developed. The solution allows the following: once critical information is filled in by the patient (representative), and the doctor is invited, he/she gets notified of all crucial changes via email or SMS. The QR code doctors receive is enough to access all critical information.

Product Background

The product allows hospitals to automate the workload and distribution of studies for interpreting radiologists. To meet the SLA time frames, the app’s AI engine defines exam priorities, locates qualified doctors (based on their preferences), and assigns a specific exam to a particular expert.

Challenge

The main difficulties in the previous version of the app, which became the source of customer disappointment, were poor operational performance combined with a confusing UI.

Medium to large hospitals with a significant study turnover rate reported that slow app responsiveness and overall balancing inefficiency were affecting the number of medical exams reviewed.

Solution

After the execution of highly detailed performance tests, our developers reviewed all API calls and database requests and challenged every query’s adequacy.

As a result, we tightened data retrieval and increased the volume of acquired data every step of the way. A large portion of data was cached in order to speed up access to repeatedly queried but rarely changing medical data.

Results

After initial months of working around the clock, the AI engine’s performance and API back-end responsiveness has improved significantly. Presently, the initial infrastructure can efficiently support hospitals with up to 10 million studies per annum.

Furthermore, the business-logic of studies distribution was challenged and fixed throughout. Together with UI updates, these achievements lowered the overall page responsiveness to less than one second. Our collaboration has lasted for over 2 years and continues successfully as of the time of writing of this case study, making it possible to polish the product with innovative and competitive features.

Product Background

BIOMODEX® is a digital health company founded with the intent of developing complex training and case-specific rehearsal solutions for physicians based on proprietary 3D printing technology.

The company commissioned our team to develop technology that would allow them to print 3D models of various human body parts.

Challenge

Medical 3D printing helps settle surgical approaches, performs a range of operational training or case-specific rehearsals, and provides doctors with a realistic and practical experience.

Developing 3D models is challenging due to the complexity and irregularity of human anatomy. Our principal responsibility was to ensure the correct extraction of requested organs and to provide a smooth, accurate, and fast 2D to 3D converting process.

Solution

Patient data generated by non-invasive MRI, CT, or 3D Ultrasound is used to assist in detecting disease, abnormal anatomy, and deviations. The offered software is able to:

- Process the data from imaging studies

- Precisely select the region of interest (body part)

- Perform segmentation of DICOM images

- Create STL for 3D printing

Results

We drastically speeded up the process of converting MRI, CT, and 3D Ultrasound DICOM images into 3D printed models, completing the process in merely half an hour, allowing our client to successfully commercialize this solution.

Product Background

An all-in-one PropTech solution that embraces residential real estate offers all over France. The startup offers a wide range of services usually provided by agencies, including estimation, completion of visits, photography, monitoring, and support until the authentic act.

Challenge

By developing a one-window-solution, our client aims to reinvent the concept of real estate sales in France’s apartment market. In order to succeed, the app needed a lively, user-friendly interface, offering high performance, responsiveness, and advanced support. As such, our client wanted us to build the front-end from the ground up and refresh the back- end.

Solution

Our product tweaks included:

- A mapping system

- Detailed search and filter criteria

- Investments modeling

- Third-party integrations

Results

- Increased app performance

- Conducted user-journey research and designed a new custom web interface

- Combined new UI with the existing back-end and overall product architecture

- Real-time market updates and listings

Product Background

(Re)Meter was established by commercial real estate veterans to help owners, brokers, and asset managers to find reliable tenants, visualize trends, perform comparisons, deal modeling, and make quick, profitable leasing decisions based on outstanding data.

Challenge

As the software was built 6 years ago, our mission was to update the tech stack for better performance and support.

Solution

WE PROVIDED:

- UI / UX parts for the whole solution

- Financial modeling affords calculation and tracking of deal metrics

- An extensive reporting tool

- Integration with market data generators (VTS, JDE, Equifax), which allows retrieving market data per industry/region/property type

Results

We renewed the existing product with the latest tech stack, giving property owners, brokers, and asset managers, a solid view on lease deals from negotiation until maturity.

Product Background

The performance of many hospital departments depends on the way beds are managed across wards. Our client has developed a web app that allows a department to easily handle, manage and reorganize bed requests. The system increases usage efficiency of beds and minimizes any potential issues between patients who share the same hospital room.

Challenge

In order to deliver better care and empower visually-impaired staff with automated hospital bed allocation, our client decided to overhaul and rewrite the app’s entire front-end.

Solution

The software covers all necessary information about beds: whether they are dirty or clean; which rooms they are placed in; and patient-related information, such as address, relatives, insurance, etc.

Results

The new intuitive interface guides the user all the way from the patient’s admission to a hospital, until final discharge. These changes boosted staff efficiency by saving time and allowing management to meet hospital performance targets.

With a graphical representation of wards and a list of the beds, it becomes easy for the bed management staff to carry out the allocation process. Information is updated in real-time, allowing a team to omit the manual counting process and improve turnover rates. Disabled users also feel more comfortable with the accessibility design when enhancing patient coordination, contributing to the hospital’s sound operability.

Product Background

Our client’s team is composed of mathematicians, linguists, and data scientists researching and prototyping artificial intelligence tools. After developing several products, they noticed a demand for a secure platform that allows healthcare experts to interact with one another, to manage their resumes and certificates, and to vote and take surveys.

Challenge

By analyzing and following the market, we came up with a way to extend the social network for the healthcare community. What was originally meant to be a compliant, AI-enabled, cross-platform, multifunctional-tool that recognizes medical numbers and images, became a kind of “Google for medicine” — providing the latest industry news and medical tools.

Solution

In order to design an app that is to be a meeting point for the medical community, we based the architecture around the following four key-activities: visualization, exploring, learning, and sharing knowledge.

Results

We’re proud to be part of a revolutionary team that has developed a comprehensive global social network for healthcare specialists on multiple levels. Our main-area of contribution mostly involved the messenger functionality with continuous outstaffing collaboration with other features.

By taking advantage of the secure atmosphere that our app provides, users can safely publish, collaborate, and analyze medical cases. Big Data processing grants doctors access to enormous databases of medical information — something students can also access to improve their studies.

It doesn’t stop there: any organization in the medical industry can use this technology to optimize their management. The network is continually growing, attracting users from all over the world.

Product Background

This cloud-based app uses a patented training program to accelerate stuttering therapy outcomes. By utilizing AI and speech recognition analysis, based on the highest standards, it provides a multitude of speech-training exercises and supplies the user with advanced real-time feedback.

Challenge

As the team behind the product did not have enough development resources to handle the entire scope of the application, they asked Glorium to step in to provide some extra hands and help with implementing a UI, sound pattern recognition software, and analysis blocks.

Solution

The app provides users with the following:

- a modern intuitive UI

- lightweight visualization

- speech and sound pattern recognition software

- an analysis engine

- AI recommendations based on past performance

Results

This app provides affordable, innovative training that allows the user to enhance their speech control and performance from anywhere, anytime. By analyzing and highlighting performance data, it details the user’s progress, keeping them motivated by providing individualized feedback. The user-friendly interface makes it easy for users to progress, lesson by lesson, observing the results, and feedback.

Product Background

BodyO is a UAE startup with the desire to build software that identifies body fat levels and detects conditions such as chronic heart disease and diabetes, which are very common for Arab region.

A full-body digital scanner was developed to track a wide range of vital human parameters and provide training and dietary recommendations using collected data. Initially, the challenge was attempted by another team; however, the client was left feeling dissatisfied with the results. Consequently, the startup founder commissioned us to build a system from scratch.

Challenge

As usual in the Healthcare sector, the system’s main requirement was achieving advanced security and HIPAA compliance. The overall scope of work was split into two parts:

Solution

BodyO is a UAE startup with the desire to build software that identifies body fat levels and detects conditions such as chronic heart disease and diabetes, which are very common for Arab region.

A full-body digital scanner was developed to track a wide range of vital human parameters and provide training and dietary recommendations using collected data. Initially, the challenge was attempted by another team; however, the client was left feeling dissatisfied with the results. Consequently, the startup founder commissioned us to build a system from scratch.

Results

Our team has developed a unique set of tools to monitor health, prevent serious illness, and provide data for creating new and healthy habits. The data collected in the pod gives users access to thousands of exercise plans and healthy recipe ideas.

Client Background

The Client owns a sleep lab management solution that provides managing patients’ sleep care: from scheduling sleep tests and physician visits to coordinating treatment. The platform is used by lab management companies, independent diagnostic testing facilities, physician-owned labs, and hospitals.

Challenge

The Client needed to replace the outdated desktop version of the product and build a new one using the latest technologies.

Solution

Glorium has been working on the project since 2019

SINCE THE BEGINNING WE:

- Built a new desktop application using WPF

- Created a WebRDP solution to allow remote access to sleep studies

- Optimized outdated DLL libraries enabling connectivity of sleep devices with the latest desktop app

- Implemented a new archive tool to optimize work with laboratory documents

- Enabled work with laboratory documents through embedded MS Office

Results

The Client has got the new web version that shows higher performance and faster load. We developed it with added customization possibilities in mind and easier EMR integrations to serve a greater pool of clients.

Client Background

RealPage, Inc. is a leading global provider of software and data analytics to the real estate industry. Clients use this platform to improve operating performance and increase capital returns. Founded in 1998 and headquartered in Richardson, Texas, RealPage currently serves 12k+ clients worldwide from offices in North America, Europe, and Asia. Find more information here.

Fuel became part of the Real Page family in 2019 after it was acquired from Hipercept.

Challenge

Our team was developing Fuel from the ground for about 8 years and has been constantly delivering an innovative and robust solution. It’s accessible from the web or mobile device and provides unlimited modeling scenarios making Fuel crucial for owners, investors, property managers, appraisers, and brokers.

Flexible pricing plans based on the customer asset quantity or period of usage are available.

FEATURES IMPLEMENTED:

- Financial modeling mechanism allows real-time calculation of all elements of cash flow and main financial metrics like IRR, Capitalization rates, and Equity multiplicators.

- The product covers all areas of modeling: Revenue side, Expenses side (CapEx, OpEx), debt burden (loans taken) modeling, recoverability of expenses, etc.

- Fuel reports are accepted by banks during the underwriting process.

- Integration with market data providers (VTS, JDE, Strategic Group, RealPage Corp.) allows retrieving market data per industry/region/ property type, etc.

- The product allows the creation of sensitivity layers – each factor can be changed and the result of such change is shown, allowing the incremental impact of every component to be seen.

- Modeling mechanism counts all elements per property unit or tenant, monthly, and per each revenue/expense category.

- Recoverability of expenses could be modeled on the tenant/unit level as % of the area occupied, % of overall costs, or an absolute amount.

Product Background

CAE Healthcare is a division that develops medical simulation products, new equipment validation, medical device trials, educational content, and more. With their mannequin simulators, CAE offers targeted training to hospitals, medical schools, emergency response teams, military branches, nursing, and health programs.

Challenge

Considering our expertise in the Healthcare sector, we developed Orion mobile apps for connectivity to a range of CAE training models.

Solution

OUR GOALS WERE:

- To create connectivity between mobile devices and training model firmware

- To allow live-tracking of manipulations on the model by a student while an instructor is checking their progress

- To have customized graphs with models’ parameters changing in real-time

Results

Orion app is a responsive software solution that tracks education processes and showcases heart and lung disease treatment. It can be switched between practice and exam modes, empowering medical training and making coaching tangible.

Challenge

Control.IT pioneered with bison.box in 1995 and, with zero competition, introduced it to the market solidly. Still, it remains the company’s leading product.

The client turned to us upon recommendation with a request for transforming its successful application into a SaaS solution. The main task was to re-architecture the infrastructure for more flexibility, shift it to the Cloud, and modernize UI/UX while keeping database structure changes to a minimum.

Solution

We’ve built complete infrastructure from scratch moving the database to the Azure cloud, which was chosen for its security and reliability. Some core application parts were set as NuGet packages.

Existing desktop features were modified and updated while front-end and API were created from scratch. Now the product has an intuitive and consistent interface and performs faster due to the cloud storage.

Results

The updated platform was not only successfully launched but also transitioned to a subscription model. The model change has attracted many subscribers, cementing the product’s position in the market and solidifying its continued success. The platform has unlocked new opportunities for monetization, creating a reliable and recurring revenue stream. This shift has provided the company with a more stable financial foundation, allowing for better planning and resource allocation.

Furthermore, the increased number of subscribers demonstrates the platform’s growing popularity and the value it offers to its users. The positive response from the market reinforces the effectiveness of the platform’s updates and improvements, showcasing the company’s ability to adapt to changing customer needs and preferences.

Product Background

GoGaWi is an esports platform that offers the live-streaming of game tournaments and serves as a marketplace to place bets. Platform users can watch and monitor gaming events in real-time, and bet on live and upcoming games. Additionally, it integrates with third-party streaming services and allows players to place their bets through a convenient payment method in advance.

Challenge

GoGaWi turned to Glorium with a request to build a web and mobile application that can integrate with streaming services and receive transactions from multiple payment systems, including small and localized ones.

Another challenge was in relation to compliance with legal regulations, as online betting is restricted in particular regions.

Also, an application was supposed to handle short but intense traffic overloads, and responsively save the system resources when the traffic was down.

The key task here was to create a robust payment network that would support many pay systems, sustain spikes of intense traffic, and block traffic in restricted areas.

Solution

Web and mobile apps with scalable applications for e-betting were built.

Glorium ensured every payment system is integrated, and reduced the integration time for each payment method. Thanks to this, the web application is capable of receiving transactions from more than 20 different payment systems in various currencies.

Traffic overloads were taken off, and the app can withstand massive volumes of traffic.

Results

Glorium built comprehensive and integrated web and mobile applications for esports betting that supports multiple payment systems, successfully handles intense traffic periods, and restricts traffic in certain areas. Our team has developed a framework that has enhanced and unified integration with different payment systems. As a result, it is now possible to place bets from small local payment systems.

Product Background

Kidazzler is a social network for parents and children that acts as a community where users can discuss parental matters. In addition, it is also a marketplace for family-friendly businesses and children-related service providers.

Challenge

Kidazzler turned to Glorium with a request to build web and mobile applications from scratch using cloud data infrastructure. The main challenge was to create a secure cloud data infrastructure, develop optimal algorithms and data flows, and implement cohesive business logic.

Solution

Glorium Technologies created scalable web and mobile applications that can be easily used by both businesses and parental communities. We implemented cloud infrastructure with AWS and added many features like service categories, dashboards, recommendations, in-app deals, events, and check-ins. Thanks to these improvements, the applications are performing well.

Results

Glorium has developed an up and running web and mobile application that acts as an integrated and convenient solution for the community of parents and child-related businesses. It is fully capable of sustaining all of the requested functions and has substantially increased the client profits.