Back to Projects

Voxy

A multilingual AI business communication platform that converts WhatsApp voice notes and informal text in English, Nigerian Pidgin, Yoruba, Hausa, and Igbo into professional ready-to-send business replies — in seconds. Built for African small businesses. Currently live in beta.

nexttypescriptnlppostgresqltailwind
Voxy

The Problem

67% of Nigerian SMB inquiries arrive as WhatsApp voice notes in local languages. Small businesses were losing sales because of a 4-hour average response delay. On the technical side, building a multilingual NLP pipeline for low-resource languages like Yoruba and Igbo — severely underrepresented in AI training data — was genuinely hard. On the product side, the tool had to work for non-technical users with zero learning curve. A rigid subscription model would have killed adoption, so the entire billing approach needed rethinking.

The Solution

Built an AI pipeline that chains transcription, language detection, intent extraction, and professional reply generation into one seamless flow — surfacing a drafted response to the dashboard within seconds. The interface was designed with radical simplicity: three steps, no technical knowledge required. Authentication, conversation history, and automated workflows for repeat inquiry types were all built from scratch. A flexible credit model replaced the subscription, making it accessible to users with variable monthly budgets.

// what I learned

Voxy taught me more about product thinking than almost any other project I've built. Building for African markets means rejecting most assumptions baked into Western product design — around payment behavior, language, and trust. Technically, I developed deep respect for the complexity of multilingual NLP and the gap that still exists in AI tooling for African languages. This is a problem worth continuing to solve.

Related Projects

All Projects -