Karneyium is a high-performance SaaS platform designed to solve the most expensive bottlenecks in the pharmaceutical industry: identifying the most effective locations for clinical trials. By leveraging geospatial intelligence and generative AI, Karneyium transforms complex health data into actionable site selection insights.
Selecting a clinical trial site involves balancing patient demographics, proximity to medical facilities, and historical recruitment success. Traditionally, this is a manual and fragmented process prone to high costs and significant delays. The goal was to build a unified cloud based ecosystem capable of processing massive datasets and visualizing them on an interactive map for better decision making.
We developed a multi-tenant SaaS architecture that integrates real-world health data with advanced AI to automate site feasibility studies.
Frontend Development: React.js for a highly responsive single-page application (SPA) experience.
Backend Engineering: .NET Core to provide a secure enterprise-grade API layer and robust business logic.
Database Management: PostgreSQL for relational data integrity and complex querying of massive health datasets.
Performance Scaling: Redis caching to speed up frequent queries and heavy geospatial calculations.
Reduced Time-to-Market: Accelerated the site selection phase from months to days through automated data synthesis.
Data-Driven Precision: Increased the accuracy of patient recruitment forecasts by leveraging real-world health data.
Global Operational Efficiency: Centralized communication and data for global research teams within a single secure SaaS portal.
| SEO Category | Technology Implemented |
|---|---|
| Industry | HealthTech / Life Sciences / Clinical Research |
| Core Framework | React.js, .NET Core, PostgreSQL |
| Artificial Intelligence | OpenAI (LLM), Predictive Modeling |
| Geospatial Tools | ArcGIS, Interactive Mapping |
| Infrastructure | Redis Caching, SaaS Architecture |
