A FinanceGPT Quantitative Language Model is an orchestration pattern that combines language inference with quantitative models, evidence, tools and policy while keeping numerical calculation and execution authority distinct.
One request can invoke several governed layers.
Natural-language intent can be interpreted, routed to quantitative model services, evaluated against data and policy boundaries, and returned with calculation and evidence context attached.
Choose the inference boundary without surrendering quantitative integrity.
Managed, private or permitted BYOK language runtimes can remain separate from the quantitative and governance layers. Developer access does not create Financial Actions authority.
Use the application designed for the work.
FinanceGPT supports financial creation; EquityGPT supports portfolio construction and management; FinanceGPT Labs provides the complete platform; FinanceGPT Developers provides APIs and model tooling; FinanceGPT Tools provides focused utilities; FinanceGPT Chat provides conversational finance.