Eliminate document bottlenecks to keep freight moving

Hyperscience uses a model-first, template-free approach for semi-structured and unstructured documents. Instead of relying on rigid rules or the brittle layouts used by traditional Optical Character Recognition (OCR) systems, the platform uses machine learning to understand the document context and locate the required fields dynamically. This effectively handles the high variance seen across different carriers and logistics partners.

The platform automatically applies image correction to rotate and de-skew tilted images. It features perspective correction powered by Computer Vision for mobile-captured documents, which detects and normalizes angled or off-center photos to make them appear as high-quality scanned images.

Yes, Hyperscience automates 3-way matching by extracting line-item details and validating them against purchase order receipt data retrieved from the ERP system via database blocks. Discrepancies that exceed defined tolerance thresholds are automatically flagged for human resolution via our Human-in-the-Loop (HITL) interface.

Yes, the platform performs data lookup and validation using Database Blocks, API Blocks, or Custom Code Blocks. For instance, it can cross-check a vendor name or invoice number against your ERP or Master Data Management system in real time to prevent duplicate payments or verify the carrier entity before exporting the data payload.

Yes, administrators can implement custom business logic within the workflow to validate extracted dates. Rules can be set to automatically flag invoices with dates older than a specific threshold (such as 365 days) or those with future dates, routing them to a specific exception queue to prevent the processing of invalid transactions.

Yes, Hyperscience can automatically code expense documents using machine learning to extract key entities and map them to default GL codes. The Custom Supervision interface also allows users to manually split line items or total amounts across multiple business units and GL accounts during the review process.

Hyperscience is built for high-throughput, low-latency environments and can meet tight Service Level Agreements. Factoring and freight forwarding partners use the platform to process millions of documents a month with a turnaround time of under 15 minutes, allowing for rapid payment processing, cargo clearance, and load funding.

By implementing our Intelligent Document Processing (IDP) platform, logistics companies significantly reduce capital carry times. Organizations routinely compress their document processing cycles from 15 days down to just 15 minutes. This optimization enables faster load creation, quicker funding, and highly efficient scale across freight forwarding and factoring operations.

Yes, Hyperscience serves major organizations in the transportation and logistics industry, including Hirschbach Motor Lines, Transflo, Navix, World Shipping, and World Group. These companies utilize the platform to automate their back-office operations and improve end-to-end processing speeds.