The $2.5 Trillion Problem
Global trade moves $32 trillion annually, yet the systems that finance it remain largely manual. After more than a decade of “digital-trade” initiatives, most transactions still rely on PDFs, email threads, and human review.
Digitisation solved document formatting — not understanding.
Without shared context across laws, policies, and data models, progress plateaued.
TradeQu explores the missing layer:
contextual intelligence that reasons across documents, jurisdictions, and policies — safely and explainably.
Why Now
Our Core Principles
Every layer of our system follows the same principles — transparent, explainable, and built for regulated environments.
How TradeQu Thinks
TradeQu’s reasoning engine understands both context and policy, turning complex trade data into auditable answers.
Current Prototpyes - Research & Development Phase
Each prototype tests a layer of the TradeQu reasoning fabric — from document intelligence to policy execution. Our focus: reliability, explainability, and compliance-grade reasoning for regulated finance. All research is conducted with synthetic data; no customer information is processed.
Letter of Credit Intelligence (R&D Preview)
Testing how policy-aware AI can reason over complex trade documents.
TradeQu’s LC prototype explores how executable rules and contextual reasoning can automate letter-of-credit validation under UCP 600 and local banking policies — without relying on black-box models.
What We're Building Next
These prototypes are early signals of what’s possible.
We’re building the reasoning infrastructure for regulated finance — auditable, adaptable, and grounded in verified data.
The Architecture Foundation
Trade finance operates across more than 150 jurisdictions, each with unique legal frameworks, compliance rules, and data standards.
Traditional systems see documents — TradeQu sees meaning.
Our architecture is built around two core components designed for explainable, policy-aware reasoning.
The Trade Graph
Connects entities, documents, obligations, and regulations — enabling real-time reasoning across your trade network.
The Policy Store
Encodes UCP rules, sanctions, and bank policies as versioned, executable logic — always traceable, always explainable.
Together, they enable:
Context-aware reasoning that understands both the transaction and the rules that govern it — delivering explainable, audit-ready intelligence for regulated finance.
We’re building the reasoning layer for global trade — where every transaction is auditable and every insight explainable.
The future of trade finance is conversational, compliant by default, and continuously learning.
Get in Touch
We’re engaging with select institutions, advisors, and collaborators to help validate and shape the next generation of AI infrastructure for regulated finance — safely, transparently, and with clear commercial outcomes.
