Built on University of Chicago finance research, powered by multi-model AI, analyzing 1,000+ fundamental variables across 40,000+ companies in 40+ global markets.
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.
15+ financial metrics streamed from institutional feeds, normalized in milliseconds
Each factor aggregates its underlying metrics into a risk-adjusted score from 1-10
Factor weights auto-adjust to current market regime — defensive in downturns, momentum in rallies
Every security is encoded into a high-dimensional vector capturing its fundamental profile, then clustered by true similarity — not just sector labels.
Every security encoded into a 256-dimensional vector from financial fundamentals
Natural groupings emerge — stocks cluster by actual behavior, not arbitrary classifications
Find the most similar securities to any stock in milliseconds using approximate nearest neighbors
Documents are chunked, embedded, and retrieved by relevance — then multi-model LLMs generate investment theses grounded in real data, not hallucinations.
10-K filings, earnings calls, analyst reports, and news — chunked and vectorized automatically
Only the most relevant chunks are retrieved via vector similarity, ensuring focused analysis
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.
Talk to us for early access