Did you notice?
The world is becoming more complex everyday.
The digital deluge prevents us to understand our own businesses.
We need new ways to harness digital complexity.
This is an essential condition for making better decisions and gaining a competitive advantage.
About us
BioMedima is a Swiss-based association founded in 2012.
BioMedima supports healthcare organisations to adopt data-centric ways of working.
Advocating for sustainable digital transformation, BioMedima promotes knowledge graph solutions to achieve sobre and sovereign digital practices.
Added Value
Technology works. How you use it makes the difference.
BioMedima’s mission includes:
1. Recognizing and federating individuals with graph-thinking abilities
2. Emphasizing the “how” aspect, tailored specifically to your needs
BioMedima’s value proposition is based on strong ethical principles, based on “Slow Business” principles promoting qualitative, sustainable and FAIR digital practices.
Our solutions
BioMedima offers Knowledge as a Service (KaaS) tailored for the healthcare, life sciences, biotech and pharmaceutical professional, which includes:
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- Creation, enrichment, maintenance of semantic assets
- Educational or consultancy sessions
- Development of graph-based artifacts or applications
- Graph-based AI solutions
BioMedima’s solutions prioritize digital sustainability by emphasizing data sobriety and sovereignty.
WORKING PARNTERS
Our unique business model aims at providing unique solutions created by special contributors to special customers.
BioMedima is a non-profit organization. We are not bound to profitability and therefore don’t compromise our values for profit.
Our special business model targets special stakeholders:
– Our contributors are graph-thinkers, system-thinkers, integrating environmental concerns in all their endeavors
– Our customers give themselves the means to their ambitions to create responsible and sustainable digital businesses
BioMedima promotes open standards, universal data/information/knowledge management approaches and adjusted machine learning to implement resilient hence sustainable digital solutions:
– By closely working with our customers, we not only build a solution but bring them along in a learning journey
– By using a home-grown machine-readable project management framework, we apply a scientific methodology and system-thinking to all cases
– By building solutions iteratively, we adapt to business changes, account for customer feedback and monitor the added value of our solutions