The credit decisioning platform
for African lenders.
Score, instruct, and approve SMB loans against the data that actually describes the borrower — not the data that happens to be the easiest to find. From application intake to the analyst's final decision, on a single platform.
Three things make Castel defensible to your risk committee.
Every score, fully attributed.
Castel never returns a score without a feature attribution alongside it. Risk officers see exactly which signals contributed, in which direction, with what weight. No black boxes. The model can be defended to a regulator, line by line.
Every decision auditable, end to end.
From the moment a dossier is submitted to the moment a risk officer makes the call, every step is logged with a timestamp, a source, and a hash. Regulators receive the trail on request, in a format they already know how to read.
Custom models trained on your data.
Starting from your own SMB customer data, we build scoring models adapted to your credit activity. Evolving with your volumes, integrated automatically into your decision processes — not a pre-trained model dropped on top of your stack.
See Castel run on your loan book.
A focused walkthrough with your risk team, on a few representative dossiers from your loan book. We'd like to understand how you decide today, and show how Castel could fit into that.