Compare Dexter vs. Unsiloed

Generating customs declarations has become remarkably straightforward. Just upload your invoices, packing lists, delivery notes, and any other relevant customs paperwork to Dexter, who will handle the rest while you concentrate on higher-value tasks. By leveraging his extensive customs knowledge, Dexter addresses both the lack of skilled labor and the need for manual data entry in the customs declaration process. The integration of Dexter requires minimal effort on your part and can save you anywhere from 3 to 90 minutes per customs case starting from the very first day. He seamlessly manages the entire workflow, turning raw customs documents into submission-ready declarations for authorities with exceptional accuracy. You can process an array of documents, including today's invoices and tomorrow's bills, regardless of their size or language. Dexter is equipped to read and comprehend a diverse selection of customs documents, and you can also develop your own extraction models if desired. Furthermore, Dexter intelligently interprets the extracted data, ensuring that it aligns perfectly with your master data for optimal efficiency. Overall, Dexter transforms the customs declaration experience into a streamlined and efficient process.

Unsiloed AI is an enterprise document intelligence platform built to transform unstructured documents into structured, LLM-ready data. The platform processes PDFs, images, spreadsheets, scans, and multimodal files, then outputs clean JSON, Markdown, or structured fields for AI agents, LLM applications, vector databases, and data warehouses. Its core capabilities include parsing, extraction, and document splitting, allowing teams to use each function independently or chain them into a full production pipeline. Unsiloed’s parser converts complex documents into Markdown while preserving structure across text, tables, charts, figures, forms, handwriting, signatures, and visual hierarchy. Its extraction engine pulls schema-specific fields into JSON and uses domain awareness to understand documents such as invoices, contracts, financial reports, healthcare records, and regulatory filings. Its splitting tools can separate mixed files into individual documents or break long documents into retrievable chunks while preserving parent-child relationships and surrounding context. The platform is powered by proprietary dual-stream vision models that combine a data stream for tokens and entities with a layout stream for bounding boxes, alignment, indentation, and visual structure. Unsiloed is designed to solve the problem of fragile OCR and DIY pipelines that break when document layouts change. For enterprise AI teams, Unsiloed provides a more reliable document layer for turning high-value unstructured data into assets that can be searched, reasoned over, and used in production AI systems.