Innovative Digital Solutions for a Modern World
Explore Our ServicesJolabdan Technology Solutions, a minority-owned company headquartered in Atlanta, GA, stands at the forefront of digital innovation. Our expertise spans a broad range of technology services, including digital platform development, system integration, data analytics, and digital transformation consulting. Our work is driven by a client-centric and agile approach, focusing on building customized digital solutions that help businesses thrive in today's competitive market.
Our team offers comprehensive end-to-end software development services. Whether you need a fully custom web application, mobile app development, or cloud-based solutions, we deliver reliable, scalable, and secure software tailored to your business needs.
We specialize in seamless system integration services, enabling diverse IT systems and applications to work harmoniously. Whether you need to integrate legacy systems, migrate to new platforms, or create hybrid cloud solutions, we ensure smooth and efficient integration.
Leverage the power of data to drive smarter business decisions. Our advanced data analytics services include data mining, predictive analytics, business intelligence, and reporting. We turn raw data into actionable insights by harnessing tools like Python, R, SQL, and cloud analytics platforms such as AWS and Azure.
We developed an interoperable data exchange system for public health institutions, allowing seamless communication between Electronic Health Records (EHRs) and national surveillance systems. This project increased data accuracy and timeliness across multiple healthcare providers.
This project focused on creating a centralized disease surveillance platform across 12 countries in Africa. We leveraged digital tools to track and predict disease outbreaks, improving early warning systems for epidemic-prone diseases like Ebola and Lassa Fever.
Our team deployed AI algorithms to predict patient readmission rates in hospitals. Using machine learning models trained on historical data, we were able to identify high-risk patients, leading to a 20% reduction in readmissions and better allocation of resources.
We built a natural language processing (NLP) chatbot to handle customer inquiries for a global telecommunications company. The chatbot integrates with existing support systems and provides users with real-time, automated responses, reducing the need for human intervention by 60%.