Compare IRISXtract vs. Unsiloed

Companies handle a vast array of documents and information daily, encompassing both physical and digital formats. The task of processing these materials can be laborious and demand significant resources. IRISXtract™ streamlines this process by automatically categorizing documents and extracting critical information. It swiftly transfers the pertinent data to your business applications, achieving results more quickly and efficiently than traditional manual methods. Our solution guarantees high-quality paperless processing, accommodating every language and document type across various processes. At the core of this system is an advanced AI-driven classification engine that employs statistical operators to analyze documents based on specific features and characteristics. The extraction process utilizes a flexible, full-text methodology, eliminating the need for templates, manual setup, or complex training requirements. This innovation not only enhances productivity but also significantly reduces operational costs.

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.