Review Case Studies, learn about succesful innovation projects and industry solutions.

Case Studies: Design & Development

  • CRM - Hubspot Automation

    We developed a robust Node.js backend and React frontend system seamlessly integrated with the HubSpot API, enabling efficient management of contacts, companies, and deal pipelines. The backend architecture was designed for secure, scalable API interactions, allowing both data retrieval and entity creation within HubSpot's ecosystem. The React frontend provided a user-friendly interface for visualizing HubSpot data, creating dynamic dashboards, and triggering automated workflows. This solution improved data accuracy, streamlined sales operations, and enhanced automation for business growth.

  • Full Stack Healthcare

    We designed and developed a comprehensive Healthcare SaaS platform, starting with conceptual design, UI/UX prototyping, and solution architecture tailored for distributed healthcare teams. The system included a React-based frontend for seamless interaction and a Node.js backend supporting multiple databases, including MongoDB, for secure and scalable data handling. Key features involved telehealth capabilities integrated with VSee, compounding pharmacy technology integration, and advanced customer data intelligence tools. The platform also supported resource management for multi-site care facilities, improving operational efficiency, patient care coordination, and regulatory compliance through custom API integrations and automation.

  • Graph Data Intelligence & UX

    We developed a sophisticated graph data intelligence platform combining a Node.js and Python backend with a React-based frontend for interactive data exploration and analysis. The system featured D3.js-powered dynamic graph visualizations, enabling users to explore complex data relationships with clarity. The backend integrated with advanced AI services, including LLMs (Large Language Models), for assisted data analysis, pattern recognition, and insights generation. This platform supported use cases like fraud detection, network analysis, and business intelligence, providing powerful tools for visualizing, querying, and extracting meaningful insights from large datasets.