Compare Evolution AI vs. Unsiloed

We offer a sample of extracted data to help you make a swift and informed choice. Launch your project in under 24 hours with minimal costly human intervention. Our AI algorithms achieve over 99.5% accuracy in data extraction from documents, a standard guaranteed by our Service Level Agreement. Clients appreciate the balance of precision from human oversight and the affordability of artificial intelligence. At Evolution AI, we lead a research consortium supported by the UK government, which includes universities, governmental bodies, and corporate partners, enabling us to pioneer several innovative algorithms. Our models have been trained on one of the most extensive datasets of labeled documents ever compiled, encompassing more than 25 million documents. With Evolution AI, you can extract data from intricate documents without the need for rule definitions or coding. Our intuitive point-and-click interface allows for the rapid identification of any data point you want to extract from a document, streamlining the entire process. This combination of advanced technology and user-friendly design makes data extraction simpler than ever before.

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.