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What is Unsiloed?

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.

What is Axis AI?

In today's world, a wide range of tools exists to facilitate the automation of data extraction from both structured and semi-structured formats, such as databases, websites, or paper forms, utilizing templates or established rules for machine interpretation. Nonetheless, certain sectors, including real estate, healthcare, and energy, still rely heavily on unstructured documents that often lack uniformity in format or organization and frequently hide essential information within English sentences or scattered paragraphs, creating hurdles for machine understanding. To address this challenge, Axis AI offers a cutting-edge solution specifically tailored for the classification and extraction of data from unstructured content. Utilizing advanced proprietary algorithms that harness Natural Language Processing (NLP) techniques, Axis AI proficiently interprets and extracts data from a variety of text formats, ranging from single sentences to complete pages composed in natural English, thus presenting a powerful option for companies facing difficulties with unstructured data. This enhanced capability empowers organizations to derive valuable insights from their documents, leading to improved operational efficiency and more informed decision-making. As a result, businesses can transform their approach to handling data, paving the way for innovative strategies and growth.

Media

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Media

Integrations Supported

Integrations Supported

NETGENIQ FABRIC

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Unsiloed.ai

Date Founded

2025

Company Location

United States

Company Website

www.unsiloed.ai/

Company Facts

Organization Name

Axis Technical Group

Date Founded

2002

Company Location

United States

Company Website

www.axis-ai.com

Categories and Features

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
Phone Number Extraction
Pricing Extraction

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