AI Wall Street-quality investment tool designed for every expertise level. Tested against a wide set of models used in professional practice and against other AI systems in the market. QUAFI outperforms them all.
Training: 2009–2024 · Test: Full Year 2025 · No look-ahead bias · Fully reproducible Python codebase available for complete due diligence.
Every AI model received the same prompt, acting as a top-tier financial analyst to find the optimal allocation of the same portfolio, using all historical information available from 2008 through 2024.
Argentina just lived the largest retail-investing on-ramp in its history: 12.3M people now hold an investment account — overwhelmingly young, fintech-onboarded, and given access but no allocation intelligence. Spanish-first content reaches them at a $6–10 registered-user CAC. The Argentine playbook then rolls out on a regulatory-sequenced ladder.
Payment wallets with cuentas remuneradas that earn a low risk-free yield on idle balances — but no automated investment mechanisms, no portfolio optimization, no active management of holdings. That's where QUAFI breaks the category.
Palmarium markets itself as a machine-learning tool for the finance expert. QUAFI is financial intelligence for every user type — from retail newcomers to professional analysts — in a single experience.
Betterment, Wealthfront don't operate in LatAm and use mean-variance optimization our backtests consistently outperform. QUAFI is building the category.
Argentina just onboarded 12.3 million retail investors — and no mass-market product tells them what a good portfolio looks like. The algorithm is built, live at quafi.io, and compounding through a free launch. The plan from 40 users to 124K across LatAm is costed month by month in business plan v3.
We're not building a feature. We're building a new category.