Full transparency into the algorithms, models, and techniques that transform 260,000+ consumer reviews into institutional-grade trading signals. No black boxes.
Neural Core is the foundation of ReviewSignal's intelligence stack. It transforms raw review text into 384-dimensional semantic embeddings using MiniLM, then applies Isolation Forest anomaly detection to identify statistically significant deviations in rating, sentiment, and review volume across all tracked locations.
Echo Engine models how consumer sentiment cascades across geographic and brand networks. Using sparse matrix propagation and Monte Carlo simulation with 1,000+ paths, it generates confidence-weighted BUY/HOLD/SELL trading signals by analyzing how sentiment at one location predicts movements at related locations and competing brands.
Singularity goes beyond correlation to establish causation. Its 7-level causal analysis framework traces sentiment shifts back to their root causes through temporal manifold analysis, semantic resonance mapping, and causal archaeology. It classifies events as STRUCTURAL (permanent operational change) or EPISODIC (temporary fluctuation), giving investors critical context for position sizing.
Cortex AI transforms quantitative signals into institutional-grade written analysis. Powered by Claude AI with 14 section-specific prompts calibrated to a Goldman Sachs institutional voice, it generates research reports that read like they came from a top-tier equity research desk. Every output passes through a quality gate before delivery.
Beacon Intelligence correlates employee sentiment from Glassdoor with customer sentiment from Google Maps to detect early warning signals. When employee morale crashes, customer experience typically follows within 60-90 days. Beacon detects this divergence before it appears in traditional financial metrics, providing a unique leading indicator for hiring intent and operational health.
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