Unsiloed vs. Normain

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.

Normain is an advanced Extractional AI platform crafted to help business teams convert unstructured documents into structured, reliable insights and automated knowledge workflows with a focus on accuracy and traceability. Users can easily upload a variety of files and links, define the type of data or insights they require, and automatically extract and organize essential information without relying on potentially misleading conversational summaries, guaranteeing that every insight is linked back to its exact origin, including the document, page, and paragraph. By emphasizing reliable extraction rather than conversational AI, Normain ensures that the outputs are verifiable, consistent, and reproducible, allowing experts to enhance their knowledge work while reducing the need for tedious manual searches, cross-referencing, and validation across numerous types of documents such as PDFs, spreadsheets, and presentations. Furthermore, the platform supports the development of structured frameworks and tailored extraction logic that can be applied across various datasets, effectively managing complex tables and relationships among multiple documents while integrating smoothly into existing workflows. This cutting-edge solution not only empowers teams to optimize their data utilization but also fosters improved decision-making by providing clear and actionable insights. Overall, Normain is a game-changer for organizations looking to streamline their data processes and enhance productivity.