QLM

Connect quantitative context to natural-language financial experiences.

FinanceGPT QLM capabilities are designed for applications that need language interaction around structured quantitative context without hiding the underlying financial data, model or governance boundaries.

Answer-first: A Quantitative Language Model (QLM) is a FinanceGPT capability that connects structured quantitative financial context with natural-language interaction while preserving explicit model and data boundaries.

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FinanceGPT Developers

intent = "forecast liquidity"evidence = workspace.data()model = LQM.run(evidence)reasoning = QLM.compose(model)action = policy.review(reasoning)

APISDKsMCPLQMQLMAgents

Data & evidence→Quantitative model→Language orchestration→Governed tools

CAPABILITIES

What this workflow brings together.

The public page explains the outcome first, then keeps the underlying financial methods, evidence and review path visible.

Quantitative context

Natural-language interaction

Model-aware application logic

Structured outputs

Evidence context

Evaluation

Governance boundaries

HOW IT WORKS

From intent to reviewable output.

FinanceGPT should make complex financial work easier to express without hiding the evidence, calculations or control points.

Start with structured quantitative context.

Define the language interaction the application needs.

Keep model facts and generated explanation distinguishable.

Evaluate outputs for the target use case.

Route any financial action through separate governed authority.

FinanceGPT DeveloperBuild with quantitative models designed for financial computation.

Build quantitative financial applications with FinanceGPT Large Quantitative Model capabilities, governed model lineage and explicit financial data context.

FinanceGPT DeveloperBuild agents around financial work, not generic autonomy.

Build financial agent experiences with FinanceGPT tools, evidence, models, workflows and explicit human and execution boundaries.

FinanceGPT DeveloperConnect applications to FinanceGPT through governed APIs.

Build financial applications with FinanceGPT API surfaces for financial intelligence, data, models, agents and governed workflows.

FinanceGPT DeveloperTreat developer access and financial authority as separate controls.

Understand FinanceGPT developer controls for credentials, permissions, workspaces, model and tool lineage, integrations and Financial Actions authority.