Language orchestration for governed financial intelligence.
A FinanceGPT QLM composes promoted Large Quantitative Models with a selected language runtime, financial evidence, tools and governance. The language runtime interprets and explains; governed quantitative methods remain the numerical source of truth.
One request can invoke several governed layers.
Choose the inference boundary.
QLM Studio can compose promoted LQMs with a permitted managed, private or BYOK language runtime while retaining separate quantitative and governance layers.
Use models instead of prose arithmetic.
QLMs can invoke registered quantitative modules for valuation, forecasting, risk, simulation and portfolio analysis rather than asking a language model to fabricate calculations.
Action authority is explicit.
A QLM's allowed tools, workflows, data egress and action boundary are configured independently from its ability to explain or recommend.
Compose a financial intelligence profile around your own data and mandate.
Select a language runtime, promoted LQM modules, workspace evidence, MCP tool grants, workflows, data boundary and action boundary. QLM configuration remains versioned and governed.