The Origin
From a thesis question
to a mission.
Senti began as an MSc Data Science research project at the University of Dar es Salaam an investigation into whether machine learning could create credit scores for informal waste workers using nothing but their collection data.
We started with a simple question: why can't a waste picker get a loan? They earn. They show up. They work consistently. But without transaction records, they're invisible to formal finance. No credit history. No financial identity.
The research proved the concept. Operational data weighments, payment frequency, consistency patterns can predict creditworthiness as effectively as traditional credit bureau data. Now we're turning that research into real infrastructure.