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At Time T

At Time T develops applied intelligence systems that model large-scale human behavior using mathematical techniques inspired by Asimov's psychohistory. The platform builds a "Prime Radiant" to forecast trends in financial markets and then leverages those predictions to manage and allocate global assets for institutional investors.

Traction –/10
San Francisco, United States · HQ
2500+ followers
  • Financial Technology
  • Data & Analytics
  • Software Only
Updated 15 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional financial forecasting and asset management rely on fragmented data sources and reactive models that struggle to anticipate large-scale market shifts. This limits institutional investors' ability to make proactive, data-driven decisions in complex global markets.

Solution

At Time T builds an applied intelligence platform that brings Asimov's concept of psychohistory to life—using mathematics to predict large-scale human behavior. The system constructs a "Prime Radiant" that aggregates and analyzes vast datasets to model behavioral patterns and forecast financial market trends. These predictive insights are then applied directly to asset management, enabling more accurate and forward-looking allocation of global assets. The platform combines advanced analytics with market data to deliver a comprehensive decision-making tool for institutional investors.

Target Audience

Primary customers are institutional investors, including asset managers, pension funds, and large financial organizations seeking more accurate, behavior-driven market forecasts and asset allocation strategies.

Features

  • Prime Radiant architecture that models large-scale human behavior through mathematical and statistical techniques
  • Predictive analytics engine designed to forecast financial market trends before they materialize
  • Integration of behavioral modeling with asset allocation strategies
  • Applied intelligence approach that moves beyond reactive analytics to anticipatory decision-making
This profile is AI-generated and may contain inaccuracies.