Unsiloed vs. Dynadok

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.

Dynadok utilizes cutting-edge artificial intelligence to effortlessly verify documents across a variety of formats and styles, including images and PDFs. By adeptly reading, extracting, and cross-referencing information, it can diminish validation durations by up to 95%, thereby reducing the chances of human error and the risk of fraudulent activities. The platform features customizable checklists that enable users to define the specific fields and criteria that each document must meet, alongside a robust API that ensures seamless integration into existing workflows and systems. This innovative solution is particularly ideal for teams that manage substantial quantities of documents, such as identification cards, proof of address, contracts, and financial records. With Dynadok, organizations can markedly improve their onboarding, compliance, and back-office operations, achieving both speed and accuracy in their processes. Moreover, the AI-driven methodology fosters ongoing enhancement in document processing efficacy, which contributes to a more streamlined overall productivity. Ultimately, adopting Dynadok can lead to a transformative shift in how businesses handle their document validation tasks.