AI-native solutions
for Latin America.

Synthetic consumer intelligence and an autonomous marketing platform — research, production, intelligence and performance in one system, built for Latin America. Past 30 modules and running in production across 8 brands.

A production Bayesian marketing-mix model built on Google's open-source Meridian, fit on 137 weeks of real point-of-sale revenue across 8 brands, 12 media channels and 16 Chilean regions. Eight independent per-brand models, all converged, retrained weekly on GPU.

The retail operating layer that runs on WhatsApp. Store teams send a photo or a voice note; Iris validates campaign implementation against brand standards, opens and routes maintenance tickets, and answers customer reviews — no app to install, no training, results in under 10 seconds.

Pre-season buying decisions for footwear. A buyer sends one photo of a shoe that hasn't launched, and Delphine predicts weekly sell-through velocity per store cluster, sizes the order, and returns a buy/skip tier with a calibrated uncertainty band.

Voice AI that interviews and trains retail salespeople in native Chilean Spanish. Automated screening via 'El Casting' reduces hiring time by 50%. Sales roleplay via 'El Entrenador' builds real muscle memory across 5 difficulty levels.

Cash flow management tool designed for Latin American SMBs. Real-time tracking, forecasting, and financial visibility — so business owners can make decisions based on data, not gut feeling.

AI-powered automation platform for e-commerce marketplace operations. Streamlines multi-channel workflows, reduces manual work, and keeps marketplace operations running at scale.

Competitive price-control platform for multi-unit retail. Centralizes official and competitor prices with source-level evidence, verifies SAP-vs-storefront pricing daily, and flags exposed products before they cost you margin.