99% Accurate ai document understanding
GroundX for Extraction
Documents in. Intelligence out. GroundX Extract turns unstructured files into structured, context-aware data—ready for AI, instantly. With on-prem security.
Documents in. Intelligence out. GroundX Extract turns unstructured files into structured, context-aware data—ready for AI, instantly. With on-prem security.
GroundX 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.
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.
GroundX has the first and only vision 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.
Vital Context
In the final pass, GroundX compares each semantic object to surrounding objects and also a summary of the entire document. The system uses the extra context to improve its understanding of each object.
This is critical when information from one part of a page is important to another. For example, a financial table might be on the bottom of a page and rich text explaining its purpose might be on the top. This context pass lets us enrich our understanding of the table from the text above. This is one of nearly a dozen techniques inside GroundX to reduce downstream hallucinations.
The World's First Custom Fine Tune for Ingest Models
GroundX performs industry leading ingest automatically across a wide array of documents. However, we also make it possible to fine tune the ingest model based on your unique documents. This is a powerful capability that is totally unique to GroundX.
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GroundX 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
Automatically extract tables from documents and converts them into structured, machine-readable data, eliminating manual entry, improving data reliability and enabling faster analytics and automated workflows.
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.
Our graphical illustration 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
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.
