Health
01Flagship
Early detection in rare diseases
A predictive research model that reads risk signals from combinations of clinical findings, before those findings mean much on their own. The first and hardest proof of our approach.
Progressing
The living proof of our approach.
Our vision isn't bound to a single field. The same approach — making the invisible visible, meeting each problem with the right tool — is already at work across very different domains. Rare disease is our flagship; the others show how far the method can travel.
Agriculture
02
Productivity in agriculture
Data and technology support for agricultural production projects, aimed at raising yield from what growers already measure.
Active research
Cooperatives
03
Digitalizing cooperatives
CRM and data enablement for cooperative organizations — an olive-oil production tracking solution that digitizes member and process management.
Active research
Education
04
AI mentorship
Guidance and mentorship for building AI projects with high-school students, so the method is taught as well as practised.
Active research
What lets one method travel this far
None of these fields arrived with a toolkit of its own. The same technical foundation runs underneath all four, researched and rebuilt as each problem asks for it — which is the whole reason a method proved in rare disease has anything to say to an olive-oil cooperative.
Model development & learning
- Local LLMs
- Fine-tuning
- Distillation
- Deep learning
Data & feature engineering
- Data extraction
- Feature vectorization
- Automated feature scoring
Automation & simulation
- Automated healthcare algorithm building
- Council simulation