What moved while you slept.
0 narrative-driven signals fired since the last close. Conviction, attribution, and lead time — already auditable.
No signal data yet — load the institutional demo to see the briefing.
Quantifying AI-search perception as tradeable alpha.
The first institutional data product to systematically measure how ChatGPT, Claude, Perplexity, and Gemini represent every listed company — and convert that signal into Sharpe.
From AI perception shift to investable product.
The capital solution is organized around five institutional modules: signal discovery, thematic acceleration, auditability, validation, and monetization.
Signal Tape
A Bloomberg-grade feed of narrative-driven long, short, and watch signals with conviction, freshness, and outcome status.
Theme Velocity
Tracks where AI attention, answer-share, and cross-model consensus are accelerating before capital flows fully react.
Signal Provenance
Every signal is traceable from prompt panel to model agreement, theme shift, historical analogue, and trade thesis.
Backtest Lab
Walk-forward tests, benchmark-relative returns, drawdown, turnover, hit rate, decay, and factor-aware diagnostics.
Index Studio
Turns repeatable narrative factors into indices, model portfolios, structured products, and licensed datasets.
Every signal traceable from prompt to portfolio.
Institutional trust comes from auditability: what changed, where it appeared, why it matters, and what would invalidate the trade.
A clean, interpretable alpha stack.
Built for PM credibility: deterministic features first, interpretable models second, continuous validation always.
Collection
LLM responses, prompt panels, market prices, transcripts, filings, citations, and theme baskets.
Entity Resolution
Company, ticker, sector, product, competitor, supply-chain role, and investable basket mapping.
Narrative Embeddings
Semantic drift, emerging clusters, answer-share shifts, narrative decay, and substitution risk.
Signal Features
Theme velocity, model agreement, novelty, crowding, price divergence, citation strength, and decay.
Predictive Models
Interpretable alpha scoring with hit probability, expected excess return, drawdown risk, and half-life.
Validation
Walk-forward backtests, transaction costs, benchmark comparison, capacity, and failure-condition tracking.
Narrative exposure at holding level.
The next premium workflow: upload a portfolio, reveal hidden theme beta, crowded longs, narrative risk, and hedge candidates.
portfolio weight exposed to decelerating AI narratives
overlap with AI infrastructure, grid power, and cyber-AI baskets
positions with high narrative crowding and extended price response
falling themes with negative model agreement and price strength
Package the signal layer into datasets, indices, and licensed products.
The highest-value path is not just stock picking — it is owning the AI-native narrative factor that institutions can license, backtest, and embed.