The startup offers a cloud-based trade finance platform that utilizes artificial intelligence to digitize, store, and validate trade finance documentation. This technology enables clients to enhance working capital management, reduce operational costs, and mitigate risks associated with trade transactions.
Funding
$37.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
PIFounders
Product
Problem
Processing trade finance documentation is traditionally a manual, time-consuming process, prone to errors and discrepancies that can lead to financial losses and compliance issues. Banks and financial institutions face challenges in managing the increasing complexity of global trade regulations and the need for greater transparency in trade processes.
Solution
Traydstream offers a cloud-based platform that automates trade finance document processing using AI and machine learning. The platform digitizes and extracts data from trade documents, then checks the data against over 400,000 trade and compliance rules, including UCP600 and ISBP. By automating document scrutiny, Traydstream reduces processing times from days to minutes, improves accuracy, and lowers operational costs. The platform integrates with back-end systems and third-party compliance, vessel tracking, and FX providers for end-to-end digitization.
Target Audience
The primary target audience includes banks, financial institutions, and corporations involved in global trade finance, particularly those seeking to improve efficiency, reduce costs, and enhance compliance in their trade operations.
Features
- AI-powered document classification and data extraction from structured and unstructured data
- Automated compliance checks against global trade rules, LC conditions, and sanctions lists
- Integration with vessel tracking and other compliance providers for comprehensive risk assessment
- Customizable rule engine to adapt to specific client requirements
- Real-time discrepancy detection and reporting
- Full audit trail and KPI transparency for enhanced control
- OCR engine to ensure all attributes are extracted and understood
- Available in the Microsoft Azure Marketplace