Pharmaceutical logistics operator serving Colombia's national supply chain
Ramedicas operates a pharmaceutical distribution network across Colombia, moving from legacy Excel-based workflows toward data infrastructure (Hadoop, Spark, Elasticsearch) and AI tooling (OpenAI, Anthropic, vector databases). The hiring mix—heavily weighted to logistics and support roles with only one active engineering hire—and the project backlog (AI for operations, financial process automation) suggest they're acquiring technical capability to solve endemic supply-chain inefficiencies rather than building product.
Notable leadership hires: Technical Director
Ramedicas is a pharmaceutical logistics operator founded in 1993, based in Bucaramanga, Colombia, and structured as a partnership with 201–500 employees. The company handles national distribution, warehousing, and fulfillment for pharmaceutical products across hospitals, clinics, and dispensaries. Core operational challenges include drug traceability, hazardous-material safety, procurement efficiency, and compliance across Colombia's fragmented healthcare network. They serve both institutional buyers and smaller healthcare providers.
Ramedicas uses Excel, Hadoop, Apache Spark, Elasticsearch for data processing; Tableau and Power BI for reporting; Python, SQL, and scikit-learn for analytics; and OpenAI, Anthropic, and vector databases (Pinecone, Weaviate, Milvus) for AI experiments.
Ramedicas is designing and implementing AI solutions for operational and financial process automation, while running a broader customer experience improvement strategy.
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