extrakt.AI vs. Unsiloed

Easily gather essential information from supply chain-related documents and communications without the need for coding, ensuring that data can be integrated with any IT framework. This process encompasses business interactions that include forecasts, orders, and confirmations of deliveries. While spreadsheets can effectively represent the intricacies of your workflow, a well-organized structure is crucial for progress. It is vital to create and maintain uniform data entry practices across different departments to ensure consistency. Our advanced AI technology can autonomously extract data from emails with attachments and populate spreadsheets accordingly. Each business has its unique processes, which can make it challenging to stick to your established protocols. However, AI can effectively adapt to these differences, working on your behalf. For example, by supplying a sample document, you can develop a simple Excel template to verify the accuracy of the extracted data. By routing emails to a secure and designated email address, templates can be automatically filled with information gathered from incoming correspondence. Moreover, this data can be synchronized with enterprise software, facilitating the efficient use of structured information throughout your organization, thereby boosting efficiency and productivity. Implementing such a streamlined system not only enhances operational workflows but also encourages improved collaboration across departments, ultimately leading to a more cohesive workplace environment. Furthermore, this adaptability ensures that your organization can respond swiftly to changing demands and maintain a competitive edge in the market.

Unsiloed AI is a document layer for enterprise AI that converts complex unstructured files into clean JSON, Markdown, and structured data. The platform is built for organizations whose most valuable information lives inside PDFs, scanned documents, images, spreadsheets, contracts, invoices, reports, filings, forms, and other hard-to-parse formats. Unsiloed helps AI teams avoid building brittle OCR, parser, and post-processing pipelines by providing a production-ready API for document parsing, field extraction, and document splitting. Its parsing capability converts PDFs, scans, and images into LLM-ready Markdown while preserving tables, figures, text hierarchy, page structure, signatures, handwriting, and visual context. Its extraction capability pulls specific fields into JSON using schemas, confidence thresholds, and domain-aware logic that can understand context such as line items, payment terms, clauses, totals, and references. Its splitting capability separates multi-document files into individual documents and breaks long files into retrievable chunks for RAG, agent workflows, and search systems. Unsiloed uses proprietary dual-stream vision models that process content and layout in parallel, then fuse them through cross-attention so the system can reason over what a document says and how it is structured. The platform’s architecture includes attention-guided heatmaps, typed document regions, layout-aware processing, and domain-specific decoding for industries such as finance, legal, healthcare, and enterprise operations. It is designed to handle edge cases that traditional OCR often misses, including nested tables, merged cells, multi-page tables, figures, handwritten notes, forms, and documents with mixed formats. Teams can connect data sources such as S3, SharePoint, Drive, Snowflake, or a document management system, then send structured outputs into LLMs, AI agents, vector databases, or analytics warehouses.