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Enterprise Grade AI intelligent document processing converts complex
enterprise unstructured documents into structured data at scale with 99%+ accuracy
Correct
Extract + Enrich
Parse
Ingest
GroundX ingests nearly
20 formats
Vision model trained on 1M pages of content parses pages into text, tables and graphic blocks
VLM agents convert objects into LLM-ready chunks with rich metadata
Quality control agents compare chunks to nearby data to fix errors and improve each chunk
Intelligent Multimodal Document Parsing
GroundX Ingest combines a vision model with a multimodal model, fine-tuned on nearly one million pages of enterprise documents, to accurately interpret complex files. It identifies text, tables, images, and diagrams on each page so even visually dense content can be structured correctly from the start.
Once each document element is identified, GroundX sends it through the right processing pipeline to transform it into LLM-ready data. The system generates rich metadata, explains complex objects like tables and graphics, and creates multiple optimized chunk versions called semantic objects for stronger search and completion.
Semantic Object Creation
In a final context pass, GroundX compares each semantic object with surrounding content and a summary of the full document to improve understanding. This helps the system connect related information across a page or document, reducing downstream hallucinations and improving retrieval quality.
Contextualization
Vision Model Fine Tuning for Customization
GroundX has the first and only vison model with fine tuning capabilities for allowing customization for the process and extraction of enterprise unique document sets. With unified support for source files, multimodal objects, and vectors, the platform is built for fast, flexible retrieval across complex enterprise data.
Bills & Invoices Data Extraction
Automatically converts complex, high-volume documents into accurate, structured data, reducing manual processing costs, eliminating the need for templates, accelerating workflows, and enabling reliable analytics and AI-driven decision making
Tabular Extraction
Our tabular data extraction accurately captures complex tables from documents and converts them into structured, machine-readable data, eliminating manual entry, improving data reliability, and enabling faster analytics and automated workflows.
Hand-Written Text Extraction
Our handwritten text extraction converts handwritten content from forms, notes, and documents into accurate, structured digital data, reducing manual transcription, improving data accessibility, and enabling automated processing and analysis.
Hand Written Text Extraction
Graphical Illustrations Extraction & Interpretation
Our graphical illustrations extraction and interpretation automatically identifies and translates charts, diagrams, and visual elements into structured, machine-readable insights, enabling organizations to unlock critical information that traditional OCR and text-based systems cannot capture
Technical Diagram Extraction & Interpretation
Our technical diagram extraction and interpretation converts complex engineering and technical diagrams into structured, machine-readable data, enabling faster analysis, improved operational insight, and more reliable integration into digital workflows and AI systems.
Photographic Elements Extraction & Interpretation
Our photographic elements extraction and interpretation analyzes images within documents to identify relevant objects, conditions, and contextual details, transforming visual information into structured insights that support automated workflows, compliance checks, and operational decision-making.
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