iKAN Virtual Document Center vs. Unsiloed

The integration of automated systems with swift data extraction significantly reduces errors, boosts profitability, and fosters a more satisfying workplace. Essential information can be effortlessly extracted from key documents and directly incorporated into your operational workflows. This strategy not only simplifies the complexities associated with filing, archiving, and retrieving business records but also utilizes a powerful and user-friendly document management system. Whether hosted on-site or in the cloud, seamlessly integrating with the software that drives your business operations is straightforward. Take advantage of pre-built templates and flexible, tailored solutions designed specifically to meet the requirements of your industry. Create a dependable and traceable system for overseeing document circulation within your organization. Maintain the highest levels of security by employing authentication protocols and sharing permissions, which ensure the confidentiality of your files through thorough audit trails and advanced security measures. Despite the challenge many companies face in surviving past five years, our sustained success is attributed to our broad expertise across numerous implementations, notably low employee turnover, a strong commitment to fulfilling client needs, and an unwavering focus on achieving positive results for our clients. This commitment enables us to continue evolving and prospering in a constantly changing business environment, ensuring that we remain a valuable partner to those we serve.

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.