Simplants – Data, Transactions, Prediction

Healthcare systems are under growing strain: rising costs, staff shortages, and fragmented data flows waste billions each year. In the €600 billion medical device market alone, nearly €30 billion is lost annually through manual, siloed, non-data-driven processes.

Simplants is a data-driven platform that connects hospitals and medical device manufacturers to optimize today’s inefficient sales, procurement, and inventory management processes. By embedding directly into existing ERP, WMS, and HIS/KIS systems, Simplants eliminates analog gaps and enables end-to-end digital transactions between buyers and suppliers.

The concept builds on three interconnected layers:
1️⃣ Data – Simplants harmonizes product and process information across systems, creating a consistent data foundation for collaboration. Its taxonomy and ontology translate complex product structures into standardized, comparable data sets.
2️⃣ Transactions – Orders, deliveries, returns, claims, and consumption data are captured and processed in real time. The result is a transparent, auditable supply chain without manual reconciliation or redundant workflows.
3️⃣ Prediction – From these continuous transaction streams, Simplants generates actionable insights: forecasts for demand and consumption, expiry and availability, substitution and allocation. Hospitals order what they need before shortages arise; manufacturers plan production and logistics based on real usage data.

Through this closed loop of data → transactions → prediction, Simplants reduces inefficiencies across the medical device supply chain, cutting costs by up to 20 percent while improving availability and reducing waste.

Founded in 2025 in Hamburg, Simplants launches in Germany’s €500 million spinal implant market with leading partners and will expand into additional implant categories and international markets.

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