Your next LLM application may have been trained by Inventzia SciTech

Inventzia Science & Technology has been selected to participate in the evaluation and reinforcement learning of the Seed(s) frontier Large Language models across a range of quantitative finance applications.

Our evaluation focuses specifically on areas where Inventzia has extensive modelling experience: financial modelling, credit and risk modelling, and time-series modelling applied to financial econometrics. Rather than assessing the model primarily on general-purpose reasoning, we examine its ability to work with the structured, numerical and statistical problems encountered in real-world quantitative finance.

Particular attention is given to numerical accuracy, statistical reasoning, reproducibility, model specification and the ability to interpret complex financial datasets. This work forms part of Inventzia's continuing research into the practical application of large language models and AI agents to quantitative modelling, building on our previous work across credit risk, financial forecasting and data-driven investment models.