Compare Instabase vs. Unsiloed

Enterprises need to have the right insights to make informed decisions and serve customers. This is why silos are so common in large volumes of data, including invoices, physical contracts, applications, as well as other data. 80% of enterprise data is still unstructured and traditional methods have not been able to move the needle towards automation. This information can be used to transform the customer journey, from loan application through onboarding. Imagine if you could automatically analyze the unstructured data that entered your organization, including emails, statements, customer data, and contracts. Instabase powers solutions that drive revenue across all industries, including banking and insurance as well as healthcare and federal government. You can swap between the best deep learning models available from Instabase and the marketplace; you can also host and manage third-party models on the platform. Transform the cost base and revolutionize how you serve customers.

Unsiloed AI is an enterprise document intelligence platform built to transform unstructured documents into structured, LLM-ready data. The platform processes PDFs, images, spreadsheets, scans, and multimodal files, then outputs clean JSON, Markdown, or structured fields for AI agents, LLM applications, vector databases, and data warehouses. Its core capabilities include parsing, extraction, and document splitting, allowing teams to use each function independently or chain them into a full production pipeline. Unsiloed’s parser converts complex documents into Markdown while preserving structure across text, tables, charts, figures, forms, handwriting, signatures, and visual hierarchy. Its extraction engine pulls schema-specific fields into JSON and uses domain awareness to understand documents such as invoices, contracts, financial reports, healthcare records, and regulatory filings. Its splitting tools can separate mixed files into individual documents or break long documents into retrievable chunks while preserving parent-child relationships and surrounding context. The platform is powered by proprietary dual-stream vision models that combine a data stream for tokens and entities with a layout stream for bounding boxes, alignment, indentation, and visual structure. Unsiloed is designed to solve the problem of fragile OCR and DIY pipelines that break when document layouts change. For enterprise AI teams, Unsiloed provides a more reliable document layer for turning high-value unstructured data into assets that can be searched, reasoned over, and used in production AI systems.