Negative Latency Intelligence™

Behavioral Anomalies Precede Disclosure. We Detect Them Before the Market Reacts.

A prediction engine that identifies pre-disclosure behavioral signatures in publicly observable market data. Built and operational. Now scaling.

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The Problem

Every Tool in Your Risk Stack Is Structurally Backward-Looking

RSI, MACD, Factor Models, VaR — None of Them See Forward.

Traditional risk analytics measure what has already happened. Factor models decompose past returns. Technical indicators describe historical price trajectories. VaR quantifies realized volatility.

None of them detect behavioral anomalies that precede public disclosure events — the statistical signatures that indicate the market is moving on information that hasn't been announced yet.

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Where We Are

Building the Infrastructure for Predictive Market Intelligence

Operational

Core Prediction Engine

Our AI-powered detection system identifies Ghost Patterns — statistically anomalous signatures in price, volume, and order flow that precede market-moving events. Live and monitoring.

  • Real-time pattern detection
  • 104 securities under live monitoring
  • Validated against market outcomes
Building

Deep Data Layering & Correlation Models

Multi-signal validation architecture that ingests orthogonal public data sources and produces conviction scores. Transforms detection into actionable, risk-mitigated intelligence.

  • Orthogonal data source integration
  • Conviction scoring system
  • Supports positioning + risk mitigation
Explore our technology

See What Others Can't. Before They Do.

We're building the infrastructure for predictive market intelligence. If you're a family office, emerging fund manager, or institutional investor seeking an edge in risk visibility — we should talk.

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