Unsiloed vs. Butler

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.

Butler is a cutting-edge platform crafted to help developers convert AI capabilities into accessible APIs. Within mere minutes, you can create, train, and deploy AI models, all without needing any prior experience with AI technologies. The user-friendly interface of Butler allows for the effortless assembly of a comprehensive labeled dataset, thereby removing the frustration associated with monotonous labeling tasks. The platform smartly identifies and trains the most appropriate machine learning model tailored to your unique requirements, saving you countless hours that would otherwise be spent evaluating which models produce optimal outcomes. With a wide range of customizable options, Butler enables you to adjust your model to perfectly align with your specifications. You can finally say goodbye to the tedious challenges posed by rigid pre-existing models or the intricacies involved in crafting custom solutions. Moreover, Butler excels in extracting vital data fields and tables from any unstructured document or image, providing an efficient means to relieve users from the painstaking process of manual data entry through rapid document parsing APIs. You can also obtain information from unstructured text, including names, locations, terminologies, and other specific data points. Ultimately, Butler equips your product with the capability to understand your users similarly to how you do, significantly enhancing user engagement and streamlining your operations. This level of efficiency allows you to focus on innovation rather than getting bogged down by technical obstacles.