AI

Natural Language Processing, LLM's'

We use LLM’s in our Investment engine to enhance analytical throughput by rapidly processing financial news and detecting actionable market signals. We also leverage LLM’s in our development pipeline to construct robust, scalable code modules.

Machine Learning

We also use Machine Learning in our Investment engine to analyze stock‑price movements following good or bad news. The models identify patterns in market reactions, evaluate signal strength, and help us anticipate how prices are likely to respond to new information.

Automation

All our AI is written in C# and runs on local hardware to minimize latency between input and prediction, ensuring fast and reliable performance in our Investment engine