The Mathematical Company of California.
Building the next chapter of evolutionary AI models for finance.
Introducing Darwin.
The first Evolutionary model for quantitative finance.
Darwin generates and modifies strategies live. No pre-training; it evolves via survival of the fittest as the market moves.
Fitness is determined by Hurst coefficients and entropy metrics, identifying regime shifts through live adaptation.
Instead of learning from historical bias, Darwin modifies its execution logic live to survive alpha decay and liquidity shifts.
Technologies
Our proprietary infrastructure is designed to solve specific problems in market prediction and execution, from symbolic reasoning to satellite imagery analysis.
Research
Our work spans multiple disciplines to push the boundaries of automated reasoning in finance.
Symbolic Reasoning Integration
Synthesizing generative LLM outputs with formal verification systems to ensure strict logical consistency in financial execution.
High-Dimensional Market Manifolds
Applying persistent homology and differential geometry to map market liquidity structures and detect latent regime changes.
Computer Vision for Financial Data
Developing invariant representation learning models to extract fundamental economic indicators from unstructured satellite imagery.