Businesses face significant risk and inefficiency when relying on manual or assumption-based assessments of B2B client payment capacity and supplier reliability. This process is often time-consuming, prone to subjective bias, and results in elevated default rates and extended sales cycles.

Trantor provides an automated B2B financial health assessment platform that leverages optical character recognition (OCR) and natural language processing (NLP) to analyze tax documents. The platform extracts key financial data points to objectively evaluate a client's payment capacity and a supplier's risk profile. By automating this data ingestion and analysis, Trantor enables businesses to reduce default rates, accelerate sales cycles, and mitigate supply chain disruptions. The system provides standardized, data-driven insights that support more informed credit and risk management decisions.

Automated extraction of financial data from tax documents using OCR and NLP.

Quantitative assessment of B2B client payment capacity based on financial statement analysis.

Periodic evaluation of supplier financial health to identify and mitigate risk.

Processing capabilities for tax documents from Chile and Mexico.

Streamlined workflow for credit approval and continuous portfolio monitoring.

Reduction in credit evaluation time from days to minutes.

Significant reduction in default rates through objective, data-driven decision-making.

Trantor serves B2B companies, including technology distributors and financial institutions, that need to automate and improve their client credit evaluation and supplier risk management processes.

Revenue is generated through a tiered subscription model based on the volume of financial health assessments performed per month.