Compare Unistore vs. Unsiloed

Unistore is a secure solution that combines a scanning device with server storage, allowing for seamless archiving and retrieval of documents with just a simple push of the 'scan' button on your device. Instantly, the scanned files are stored in Unistore's archives, enabling easy access via any Internet browser as long as you have a device connected to the Internet or a local network. The system employs advanced OCR technology to recognize content and automatically process it. Furthermore, users can enhance their documents with various descriptions, such as categorizing them by type (like order, contract, or invoice) and adding specific tags. For each document type, users can create tailored forms (for example, including invoice totals and numbers) that can be filled out after Unistore processes the documents, simply by selecting the necessary fields. As you continue to utilize Unistore over time, the system becomes increasingly adept at learning from your documents, enabling it to classify new incoming files independently and suggest field values based on your predefined forms. This intelligent adaptability makes Unistore a powerful tool for efficient document management and retrieval.

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.