FD RYZE® DOCINTEL 

Document extraction with benchmark-proven accuracy.

FD RYZE® DocIntel is a document intelligence engine for extracting information from structured and unstructured documents. It helps enterprises move document data into workflows faster, with less dependence on manual reading, copying, and correction. 

Unlike document tools that only promise extraction, DocIntel brings benchmark evidence into the conversation. It has been evaluated against Azure Document Intelligence and AWS Textract and can be deployed inside the customer’s own infrastructure for greater control. 

For enterprise teams, the value is not just faster coding but a more connected development lifecycle where decisions, handoffs, reviews, and evidence do not get lost between stages. The ADLC Super Agent helps teams move software forward with clearer context, stronger checks, and governance built into the way the work progresses. 

Document intelligence that goes beyond extraction.

Designed For Banks, Payment Providers, And Financial Platforms

For document-heavy teams, extraction quality shapes everything that comes next. A missed field, broken layout, or unreliable value can create downstream review, rework, and delay. DocIntel is designed to make the first step stronger, so the rest of the workflow is not built on weak input. 

Not a lab claim. A head-to-head result.

The goal was not to claim better extraction in isolation. DocIntel was tested against platforms enterprises already recognize, across 50 samples, two datasets, and seven quality dimensions that reflect how document output is judged in real workflows.

Document Extraction

The first read has to be reliable. 

DocIntel extracts information from structured and unstructured documents so the output can move into downstream workflows. The focus is not only reading the page but preserving enough structure and meaning for teams to use the extracted data with confidence. 

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Benchmark-Proven Accuracy

Claims are stronger when they can be measured. 

Document extraction should not depend only on vendor claims. DocIntel was compared against Azure Document Intelligence and AWS Textract across structured evaluation criteria and led 11 of 14 metric comparisons across SynthDoG and CORD 

Enterprise Deployment

Sensitive workflows need deployment choice. 

DocIntel can be deployed on customer infrastructure, including on-premise and private-cloud environments. That makes it better suited to enterprises that need document intelligence while keeping control over where sensitive document data is processed. 

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Portfolio Integration

One engine, more than one path to value. 

DocIntel can work as a standalone document intelligence engine or as part of larger FD RYZE® experiences such as Nexus. That gives enterprises flexibility to use extraction directly or embed it inside knowledge workflows that depend on source-grounded document understanding. 

Documents that took hours, processed in seconds.

DocIntel achieved 97% accuracy on insurance loss-run extraction, turning a manual, document-heavy workflow into fast, structured output teams can use. 

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DocIntel reads the document. Nexus makes it usable. 

When DocIntel is embedded inside FD RYZE® Nexus, extracted document data can become part of a broader knowledge assistant experience. Teams can ask questions, receive grounded answers, and trace responses back to the source material. 

Explore FD RYZE® Nexus

The friction inside document-heavy operations. 

Document-heavy operations slow down when the first extraction step is weak. If the output needs too much correction or cannot run in the right environment, the rest of the workflow inherits the delay. 

Manual Extraction

Document-heavy workflows often require teams to read, copy, and check extracted fields before the data can move forward. The workflow stays dependent on human effort when the first output is not reliable enough to use directly.

Mixed Document Formats

Enterprise documents rarely arrive in one consistent structure. Forms, records, reports, submissions, and scanned files often enter the same workflow, making extraction harder when the engine cannot handle layout and format variation.

Accuracy Gaps

Low-confidence extraction creates more work after the document is processed. Teams have to verify, correct, and rebuild the output before it can be trusted by downstream systems or business users.

Deployment Constraints

Some document workflows involve sensitive operational, financial, or customer data. Enterprises need document intelligence that can run inside controlled environments instead of forcing data into deployment models they cannot govern.

Document intelligence with the scores to match.

FD RYZE® DocIntel was evaluated against Azure Document Intelligence and AWS Textract across independent datasets and document-quality dimensions. The results give buyers a side-by-side view of extraction performance across LLM score, text fidelity, semantic accuracy, hallucination control, layout preservation, and reliability. 

11 of 14 metric wins 

DocIntel led 11 of 14 metric comparisons across SynthDoG and CORD V2. The result includes a clean sweep across all seven SynthDoG metrics. 

90.6% SynthDoG LLM score 

On SynthDoG LLM score, DocIntel scored 0.9064, ahead of Azure Document Intelligence at 0.7708 and AWS Textract at 0.4080.

92.6% CORD V2 LLM score 

On CORD V2 LLM score, DocIntel scored 0.9256, ahead of Azure Document Intelligence at 0.8916 and AWS Textract at 0.8024. 

Clean sweep on SynthDoG 

DocIntel won all seven SynthDoG metrics: text fidelity, semantic accuracy, numeric reliability, completeness, hallucination control, layout preservation, and LLM score. 

Frequently Asked Questions

1. What is FD RYZE® DocIntel?

FD RYZE® DocIntel is a document intelligence engine that extracts usable information from structured and unstructured documents. It is built for enterprise workflows where document data needs to move faster, with less manual reading, copying, and correction. 

2. Is DocIntel only an OCR tool?

No. DocIntel uses Fulcrum Digital’s proprietary OCR engine, but the value goes beyond reading text from a page. It is designed to turn document content into structured, usable data that can support downstream workflows, knowledge systems, and enterprise AI experiences. 

3. How does DocIntel compare with Azure Document Intelligence and AWS Textract?

DocIntel was tested against Azure Document Intelligence and AWS Textract across quality dimensions such as text fidelity, semantic accuracy, numeric reliability, completeness, hallucination control, layout preservation, and LLM score. In the available comparison, FD RYZE® DocIntel led 11 of 14 metric comparisons across SynthDoG and CORD V2, including all seven SynthDoG metrics. 

4. Can DocIntel be deployed inside a customer environment?

Yes. DocIntel can be deployed on customer infrastructure, including on-premise and private-cloud environments. This makes it suitable for enterprises that need document extraction while keeping stronger control over where sensitive document data is processed. 

5. Can DocIntel work with FD RYZE® Nexus?

Yes. DocIntel can work as a standalone document intelligence engine or be embedded inside FD RYZE® Nexus. When used with Nexus, extracted document content can support source-grounded answers and enterprise knowledge workflows. 

6. What is a good first use case for DocIntel?

A strong first use case is a high-volume document workflow where teams spend significant time reviewing, extracting, or correcting document data. Insurance loss-run extraction is one proven example, where DocIntel achieved 97% accuracy and reduced processing time from hours to seconds. 

Engineering That Meets the Moment

When timing matters, so does the partner you build with.

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