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Rootstack is a leading software development company with over 15 years of experience supporting clients worldwide With a 95% client satisfaction rate and over 350 successfully completed projects, we work hard to be your digital innovation partners.
Enterprise Software
Web Apps
Website Design
Cloud Computing
Integrations
Drupal
Python
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RELEVANT TALENT
CASE STUDIES
Development and Improvements to Modules for a Microcredit PlatformA module used by merchants to keep a list of all transactions, generate detailed transaction PDF files, view a summary of daily activities including sales and collections, and request personalized balance letters.
DataDrill builds data and AI solutions for the life sciences.
We design modern data platforms, automate workflows, and create tools that accelerate research, clinical, and commercial work. Our deep domain focus lets us deliver faster and with higher accuracy than general IT teams.
Data Analytics and Visualization
Databases
API
AI & ML Solutions
Enterprise Software
Python
I’m flexible
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RELEVANT TALENT
CASE STUDIES
AI ChatbotThe legacy chatbot operated on a limited 20-column table, produced generic results, and had high cost and latency. It could not support multi-intent or complex regulatory queries and lacked observability, metadata structure, and compliance confidence. The CRO needed broader coverage, accuracy, and a production-ready AI system.
We’re a Košice-based software house delivering high-quality web and mobile apps, custom digital products, AI-enhanced solutions, and high-performance e-commerce development. With a modern tech stack and flexible top talent, we combine tech and business to build only what clients truly need. Efficiently and with impact.
Web Apps
Website Design
Mobile Apps
API
AI & ML Solutions
React.js
Java
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RELEVANT TALENT
CASE STUDIES
Development of a New Frontend for the User Management InterfaceThe existing backend systems were built on legacy architecture, making it difficult to introduce a modern frontend without disrupting critical data flows. Seamless integration with these older systems required detailed analysis, careful API handling, and significant architectural considerations.
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