We help life science companies to maximize market access.
The Epi-control platform is a software, accessible via a browser. It consists of 5 different modules of which 3 can be used according to the need of our partner.
By leveraging AI-driven disease burden estimates, we can support life science companies with data-driven planning for indication and geographic expansion as well as for optimizing ressource allocation and service delivery.
EPCON enables strategic decision-making, enhance market understanding, and optimize resource allocation, ultimately supporting the development and positioning of pharmaceutical products in a dynamic and evolving healthcare landscape.

Disease Burden
We employ AI algorithms and data analytics to analyze a wide range of data sources, including public health databases, open source data and literature studies. By doing so, we are able to estimate the current and future disease burden associated with specific indications or therapeutic areas. These estimates provide crucial insights into the prevalence, incidence, severity, and impact of diseases enabling life science companies to understand the market potential for their current and future products.
Planning
We use a data-driven approach for indication and geographic expansion, as well as identifying a pharmaceutical product's ideal position in the future market.
-
Indication Expansion Planning: We employ AI algorithms and data analytics to analyze a wide range of data sources, including public health databases, open source data and literature studies. By doing so, we are able to estimate the current and future disease burden associated with specific indications or therapeutic areas. These estimates provide crucial insights into the prevalence, incidence, severity, and impact of diseases enabling life science companies to understand the market potential for their current and future products.
-
Geographic Expansion Planning: EPCON's AI algorithms can analyze disease burden estimates at a regional, national, or global level. By mapping disease prevalence and healthcare infrastructure, we can identify geographical areas with high unmet medical needs and limited competition. This information assists life science companies in expanding their product reach to new markets where there is a significant demand for their treatments. Our insights enable companies to optimize their distribution channels, marketing strategies, and partnerships to effectively penetrate new regions.
Network Optimization
Network optimization is a systematic approach to improving care delivery. It seeks to address challenges such as delays in diagnosis, inadequate treatment, and suboptimal patient outcomes, with the goal of improving overall patient health.
We support the process of network optimization at the level of various aspects:
-
Resource allocation: Giving insights in how to optimize the distribution of medication and/or diagnostics to ensure that resources are being used effectively and efficiently.
-
Service delivery: Improving the accessibility and quality of health care services, with a focus on reducing barriers to care and ensuring that patients receive accurate diagnoses, effective treatments, and proper follow-up care.
Ultimately, network optimization aims to reduce the burden and the spread of a disease and improve health outcomes for patients.
