Founded on University of Chicago finance research, which we extend with our own models, data and multi-model AI. We analyze each company across fundamental, technical and sentiment metrics, covering 70,000+ securities and 15,000+ ETFs in 48 markets, and our pipeline processes about 1 billion data points a week.
Coverage across every major global exchange.
Raw financial metrics flow through our proprietary 5-factor model — value, quality, momentum, defensive, and tactical — producing a single actionable score for every security.
Company data from institutional feeds, standardized across 48 markets
Each factor aggregates its underlying metrics into a risk-adjusted score from 0-10
The composite score adapts as market conditions change
Parallax compares securities by their fundamental profiles, so you can see which companies are alike beyond their sector labels.
Every security is described by its financial fundamentals
Stocks group by how their businesses behave, beyond standard classifications
Find the securities most similar to any stock
Language models write each investment thesis from computed scores and from the relevant passages in company filings, earnings calls and news.
Company filings, earnings calls and news
Each analysis draws on the passages that bear on the question
Parallel analysis across fundamentals, risk, and competitive positioning — synthesized into a single thesis
The AI workspace that helps investment teams analyze faster, research deeper, and decide with confidence.