Danelfin is a stock analytics platform built on explainable AI, founded in Barcelona in 2016 by Aaron Roman Gonzalez and Tomas Diago (CEO), later joined by co-founders Guillermo Salas Fernandez and Sergi Jimenez. The company set out to give retail investors a Wall-Street-grade signal without the cost of a research desk.
The core product is the AI Score, a 1-10 rating produced by an ensemble of machine learning models trained on fundamental, technical, sentiment, and momentum data for thousands of stocks and ETFs; a companion Big Money flow indicator tracks institutional buying and selling. Every score comes with a plain-language breakdown of the underlying factors, which is the explainable part of Danelfin's pitch versus black-box screeners.
Danelfin fits self-directed retail investors who want a screening and idea-generation layer rather than full portfolio management, plus developers who want raw scores through the API. The free plan gives a limited sample of scores; Plus starts at $22/month ($19/month billed annually) for full scores and trade ideas, Pro runs $59/month, and a separate Elite tier and API plans (from $70/month) serve heavier users. All paid plans carry a 14-day trial and 30-day money-back guarantee.
