Our projects

This scenario shows how a startup can validate a data or AI product idea in a few weeks. The MVP sticks to the essentials, on a light and inexpensive architecture. It is used to convince first customers and investors before committing to full development.

This scenario shows how an SME can replace its spreadsheets, emails and separate software with a custom web back-office. The tool brings together prospecting, project management and billing. Management follows the business in one place.

This scenario shows how a SaaS startup can bring its marketing, sales, finance and product data into a modern BI stack (Snowflake, dbt). Every KPI comes from a single source. Monthly reporting is generated automatically, with no manual compilation.

This scenario shows how a small Guinean cosmetics brand can present itself consistently everywhere: a logo and brand guidelines, a short presentation video, animated visuals for each product, and a simple online shop with mobile money payment. The same visual world, from the sachet to the website.

This scenario shows how a distributor with three shops and a warehouse can order products based on actual sales rather than by feel. Sales and stock are brought into one simple tool, an order proposal comes out every week per product and per shop, and the manager gets a WhatsApp alert when a fast-moving product drops below its threshold.

This scenario shows how a shop with two boutiques, a WhatsApp catalogue and a small online shop can display the same price everywhere and move it with simple rules: minimum margin per category, rounding, dated promotions, recalculation when the purchase price changes. The owner approves every change from his phone.

This scenario shows how a shop in Conakry can gather its customers in a single base, fed by the till and by WhatsApp, then send targeted messages instead of one broadcast to everyone. Each customer has her purchase history, her open credit and a group: regular, occasional, not seen for three months. A dashboard shows the best customers and those who are drifting away.

This scenario shows how a shop with two stores and a WhatsApp catalogue can sell online with mobile money payment, take payments even when the connection drops, and keep one stock across all its channels. A maintenance contract keeps it running.

This scenario shows how a payment platform can replace static rules with real-time analysis. Machine learning and a graph database spot organised fraud patterns, while blocking fewer legitimate transactions.

This scenario shows how a digital microcredit organisation in West Africa can assess the creditworthiness of people with no banking history. A scoring model relies on alternative data (mobile usage, transactions), with the applicants' consent. The goal: lend to more people while keeping default risk under control.

This scenario shows how a microfinance institution with field agents can track the repayment schedule of each loan, record collections on a phone even without network, remind borrowers by SMS or WhatsApp, and give the manager a view of late payments. The existing core system stays in place: we connect to it, we do not replace it.

This scenario shows how a 20-room hotel or guesthouse can take bookings directly on its own website, in several languages, with online payment. An AI assistant answers travellers' common questions on WhatsApp and hands over to the team for the rest. Photos and short videos shot on site show the rooms as they are.

This scenario shows how a hotel or residence can offer its services from the guest's phone: restaurant, laundry, excursions, airport pickup. Each order is charged to the room and the staff see every request in one place.

This scenario shows how a hospital group can bring scattered patient data (EHR, RIS, LIS) into a single, secure platform. Care staff find information faster, and medical teams can run cross-department clinical analyses.

This scenario shows how a network of clinics can catch billing errors before claims are sent to payers. An NLP model reads medical reports and suggests procedure codes. A machine learning model flags abnormal combinations that are likely to be rejected.

This scenario shows how a clinic where appointments are booked by phone can offer online booking, send an automatic reminder and a one-message confirmation by SMS or WhatsApp, and give reception a shared agenda. The patient software already in place stays the reference: the new application connects to it.

This scenario shows how a training provider can offer learning paths matched to each learner's level. An LMS platform assesses skills at the start, tracks progress and adjusts the content. The goal: more learners completing their course.

This scenario shows how a 600-pupil private school can handle enrolment online, track tuition fees paid by mobile money, let teachers enter grades and absences from their phone, notify parents by SMS or WhatsApp and give the head a dashboard.

This scenario shows how a transporter with 12 trucks can replace phone calls and the notebook with a driver app, a map for the office and a tracking link sent to the customer by SMS or WhatsApp. The app records each step even without network and sends everything once the connection is back.

This scenario shows how a transporter who prepares its routes by hand every morning can have them computed by a tool. You enter the addresses, the delivery slots and the capacity of each truck; the tool proposes the routes. If a truck breaks down, you run the calculation again with the remaining trucks.

This scenario shows how a processing unit that writes its production on paper can enter it on a tablet at the workstation, follow its raw material stock with threshold alerts, and read its figures the same evening instead of waiting for the monthly report.

This scenario shows how a factory that depends on an Access and VB application written fifteen years ago can replace it piece by piece: an audit to find out what it really does, a data migration, then one module at a time, the old and the new running side by side until the end. A maintenance contract then takes over.