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ease
features
design
support

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Description

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.

Description

Elevate your document management by efficiently scaling up and processing millions of documents throughout your organization. A universal solution for document extraction, processing, and understanding often falls short in real-world enterprise situations. To effectively harness business value from your enterprise documents, which may vary in complexity and domain, a specialized platform like XtractEdge is essential. This platform leverages sophisticated AI capabilities, utilizing a blend of multiple Machine Learning and Deep Learning techniques, alongside adaptable data management and analytics workflows. XtractEdge organizes intricate multi-document data from around the globe, preparing it for consumption to reveal hidden business opportunities. By streamlining the document extraction, processing, and comprehension pipeline, XtractEdge enables companies to accelerate their journey toward unlocking significant business advantages and efficiencies. Having such a tailored approach ensures that enterprises can respond promptly to evolving data needs and capitalize on insights swiftly.

API Access

Has API

API Access

Has API

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Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Unsiloed.ai

Founded

2025

Country

United States

Website

www.unsiloed.ai/

Vendor Details

Company Name

EdgeVerve

Founded

2014

Country

India

Website

www.edgeverve.com/xtractedge-platform/

Product Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Product Features

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Alternatives

Alternatives