Unsiloed vs. Taiki

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.

Taiki offers a flexible API that streamlines the extraction of tax documents and relevant data from diverse payroll and financial service providers. This cutting-edge solution allows users to forgo manual document uploads by securely connecting to various financial platforms, thereby facilitating the easy retrieval of crucial tax-related information. The API can manage a wide range of documents, including 1040 forms, W-2s, 1099s, and bank statements, ensuring comprehensive coverage. Users gain the advantage of integrated document processing, enabling them to request only the specific data fields they require, which greatly improves efficiency in data collection efforts. Taiki's integration capabilities encompass a broad spectrum of financial institutions and services, featuring well-known entities such as ADP, Bank of America, PayPal, and TurboTax, thereby providing a robust solution that addresses different user needs. Moreover, the platform presents flexible pricing options, including pay-as-you-go and annual subscription plans that are tailored for both individual and corporate clients, making it accessible for various audiences. Furthermore, the setup process is crafted to be quick and intuitive, guaranteeing a smooth experience from the very beginning, which contributes to user satisfaction and operational efficiency.