CLOSR.
CLOSR is a culturally intelligent lead qualification system, introduced into the Zimbabwean and South African real estate market. It sits at the front of an estate agency's WhatsApp channel and does one thing with precision: it reads the intent behind every enquiry, qualifies what it finds, and protects the time of the agents who would otherwise spend hours distinguishing genuine buyers from polite browsers.
The central problem CLOSR addresses is not a technology problem. It is a cultural reading problem. In African markets, people rarely express disinterest directly. A message that sounds like interest is often a polite exit. A message that sounds hesitant is sometimes a serious buyer managing risk. The difference between these readings determines whether an agent spends the next three hours on a conversation that will not convert.
Chomie is the cultural layer engine that powers CLOSR. It was designed on academic research into Zimbabwean and Southern African communication patterns, and it is what separates CLOSR from a generic qualification tool. Chomie does not apply standard AI reasoning to African conversations — it was built specifically to understand them: the polite deferrals, the delegated decisions, the enthusiasm suppressed by cultural norms around njodzi, the spiritually-deferred timelines that are not hesitation but process.
The first deployment of CLOSR is with Lucile Real Estate in Zimbabwe. The system is live. Chomie's cultural calibration is set to the Zimbabwean market. South Africa represents the next founding deployment, with its own calibration programme built to account for the country's eleven official languages and distinct regional commercial patterns.
First patron: Lucile Real Estate, Zimbabwe.