AI Tools & Services · AI Tools
Kavout
Machine learning stock picks that actually work, without the PhD
Kavout is a SaaS platform that packages institutional-grade quantitative analytics for self-directed investors and professional fund managers. The core line-up is tiered data-feed subscriptions ($39–$299 mo.) plus a premium “K Score” equity-ranking API priced on quote; everything is sold online through kavout.com and major cloud marketplaces (AWS, Azure, GCP) with free 7-day trials. The company’s signature is machine-learning models trained on 1,000+ fundamental, technical and alternative data points that output a single 1-9 “K Score” predictive of next-month outperformance. Notable offerings include the China A-share K Score dataset, robo-research white-label widgets for brokers, and a no-code portfolio-screener that rebalances on live signals. Clients are quant hobbyists, RIAs and emerging hedge funds that want institutional AI horsepower without building a 15-person data-science team. They value evidence-based decisions, transparency (downloadable factor loadings), and the ability to embed signals directly into Python, Excel or FIX workflows. Kavout competes in the crowded “alternative data & factor platform” space populated by sell-side research aggregators and boutique quant shops. It differentiates by combining a ready-to-trade signal (K Score) with affordable self-serve access, coverage of both U.S. and China equities, and usage-based API licensing that scales from single advisors to billion-dollar funds.