Typed region parsing
Identifies typed regions such as tables, figures, signatures, and handwriting, which helps the model separate structured content from surrounding text.
Unsiloed AI
RevendiquerUnsiloed AI is a document-understanding product for extracting structured data from enterprise documents like contracts, reports, and filings.
Overview
Unsiloed AI is a document-understanding product for extracting structured information from enterprise documents. The homepage positions it around reading pages like a human, separating text into typed regions, and preserving layout so the output keeps tables, headers, and other document structure intact.
It is described as a dual-stream vision model with an attention-guided heatmap layer and a domain-specific decoder. The stated goal is to turn complex legal, financial, healthcare, and regulatory documents into schema-conditioned outputs that respect cross-field relationships such as totals matching line items and references resolving correctly.
Features
Attention-guided focus
Uses attention-guided heatmaps to concentrate compute on pivot zones such as numerical columns, merged cells, and section headers.
Dual-stream document understanding
Processes documents through parallel data and layout streams so content tokens and visual structure are considered together.
Cross-attention fusion
Combines the streams with cross-attention to reason over both text and layout, which is important for forms and mixed-structure pages.
Structured domain decoding
Produces schema-conditioned outputs with cross-field constraints so related values stay consistent across the extracted result.
Domain-specific document coverage
Names legal, financial, healthcare, and regulatory documents as target domains and says the model was trained on millions of enterprise documents.
Use cases
Financial reporting extraction
Extract values from reports where tables, merged cells, and section headers affect how numbers should be read and grouped.
Legal document processing
Read contract pages that mix clauses, signatures, and structured references while keeping hierarchy intact.
Healthcare record structuring
Pull structured fields from records that combine free text, forms, and layout-heavy sections.
Regulatory filing analysis
Handle regulatory filings where references, cross-field checks, and document structure need to remain consistent in the output.
Pros and Cons
Pros
- Preserves document structure while extracting data from mixed-layout pages.
- Focuses compute on areas that matter for extraction, such as numerical columns and merged cells.
- Supports multiple enterprise document domains named on the homepage.
- Uses schema-conditioned outputs to maintain consistency across extracted fields.
- Describes a model architecture designed for both layout and text reasoning.
Cons
- The collected pages do not include pricing, deployment, or integration details.
- There is no documented setup guide or public workflow page in the sources provided.
FAQ
What is Unsiloed AI used for?
The homepage describes Unsiloed AI as a document-reading system that breaks pages into typed regions and combines layout and text signals to produce structured outputs. It appears aimed at enterprise document workflows rather than general chat use.
What kinds of documents does it handle?
The source mentions legal contracts, financial reports, healthcare records, and regulatory filings as supported domains. It also says outputs are schema-conditioned with cross-field constraints, so structured extraction is a core part of the workflow.
How does the workflow work?
The site does not provide setup instructions, an API reference, or a documented playground on the collected pages. Based on the homepage, the product works by reading page structure, applying attention-guided focus to key regions, and decoding the document into a domain-specific schema.
How much does it cost?
No pricing information is available from the collected sources. The pricing URL returns a 404, so the site does not currently expose pricing details on the pages reviewed here.
Can teams integrate it into existing systems?
The collected sources do not mention team features, integrations, or deployment options. Those details are not supported by the available pages.
Quick Facts
- Category
- Document AI
- Product type
- Structured document extraction
- Primary users
- Enterprise teams working with legal, financial, healthcare, and regulatory documents
- Source domain
- unsiloed.ai
- Pricing
- Not found on the reviewed pages
- Platform
- Web-based product site; no deployment details were provided
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