Food Nutritional Components & Scientific Food Therapy Plans

Why Choose Daza Matrix

Full PubMed Coverage

All AI analyses are fully based on PubMed medical literature, 100% scientific and authoritative.

Zero Hallucination

Combines CNN + NLP + Domain-Specific NLP + LLM to fully resolve the three core flaws of pure LLMs: hallucinations, generic outputs, and randomness.

Global Scope

For any disease or health goal, Daza Matrix identifies the most effective species and supplements from over 2 million global species and 100,000+ supplements. No scarce or high-efficacy ingredient is ever overlooked, fully eliminating generic outcomes.

Revolutionary Efficiency Boost

From Years to Hours: 4000x Efficiency Surge

Daza Matrix elevates medical literature analysis efficiency by 4,000 times. For hypertension research, PubMed holds 702,864 relevant publications: manual processing takes 7–11 years, standard biomedical NLP systems need 2–4 years, while Daza Matrix completes the workload in only 17–20 hours, realizing a 1,500–4,000-fold revolutionary efficiency leap.

Formulation Design Tool

Semantic-Level Knowledge Graph

Daza Matrix

Feature Introduction

The Semantic-level Knowledge Graph – Daza Matrix is divided into two major functional zones: the Regular Data Zone and the Super Data Zone.
Regular Data Zone includes six functional sub-zones: Semantic-level Word Frequency, Species Name Recognition, Supplement Name Recognition, Disease Name Recognition, Keyword Context, and Relationship Graph Generation. For any keyword combination, the Regular Data Zone extracts and analyzes the top 2000 most relevant literatures retrieved from PubMed. The first four of these six functional sub-zones can be used independently, while the latter two are used in conjunction with the first four.
Super Data Zone includes seven functional sub-zones: Super Semantic Analysis, Super Species Recognition, Super Supplement Recognition, Super Disease Recognition, Super Keyword Context, Super Formula Design, and My Super Formulas (Custom Formula Pool). For any keyword combination, the Super Data Zone extracts and analyzes all literatures retrieved from PubMed in batches. The first four of these seven functional sub-zones can be used independently, while the latter three are used in conjunction with the first four. Using Super Formula Design, complete formulas can be directly generated by Large Language Models (LLMs) based on the analysis results of Super Species Recognition and Super Supplement Recognition. With My Super Formulas (Custom Formula Pool), you can further select the ingredients you most want to use from Super Species Recognition and Super Supplement Recognition to build your own formula pool. Then, let the Large Language Model generate top-tier formulas directly based on your formula pool. Four Large Language Models are currently supported: DeepSeek-R1, DeepSeek-V3, Doubao-1.5-pro, and DeepSeek-R1 (Volcano).
Super Data breaks through the 10,000-record limit of the PubMed API through a batch retrieval and acquisition mechanism. Regardless of whether the number of eligible retrieved literatures is tens of thousands, hundreds of thousands, or even millions, all can be fully acquired. Combined with Super Data's batch retrieval and acquisition mechanism, Super Analysis can efficiently generate super semantic-level knowledge graphs (Super Semantic Analysis, Super Species Recognition, Super Supplement Recognition, Super Disease Recognition, Super Keyword Context) for hundreds of thousands of literatures through a batch processing mechanism. When Daza Matrix completes all data batches, based on FoodWake's curated Global Species Library, Global Supplement Library, and Convolutional Neural Networks (CNN), combined with Correlation Coloring implemented by LLM/LSTM+SHA, it can find the most effective Super Species and Super Supplements for your current demands and diseases. Based on the Global Disease Name Library and Convolutional Neural Networks, you can view a complete graph of which diseases the current species or supplement is most effective at treating.
Using My Super Formulas (Custom Formula Pool) in Daza Matrix's Super Data, you can further select the ingredients you most want to use from Super Species Recognition and Super Supplement Recognition to build your own formula pool. By using Correlation Coloring to clearly view the correlation between species/supplements and diseases or demands, and consulting literature titles and abstracts as needed, you can easily select the most effective species and supplements and add them to your Custom Formula Pool. Then, let the Large Language Model generate top-tier formulas directly based on your formula pool. Compared with directly using Super Formula Design, My Super Formulas (Custom Formula Pool) allows you to more precisely construct formula ingredients and generate top-tier formulas with the ingredients you most want to use. Four Large Language Models are currently supported: DeepSeek-R1, DeepSeek-V3, Doubao-1.5-pro, and DeepSeek-R1 (Volcano). When using My Super Formulas (Custom Formula Pool), you can not only specify which species/supplements are added to the formula pool but also fully control the final generated formula by setting Mandatory Ingredients, Number of Ingredients, Target Species, and Special Instructions.

Super AI Diet Therapy

Ultimate Formulation R&D Engine

Feature Introduction

For any disease or demand, identify the most effective species and supplements from over 2 million species worldwide and over 100,000 types of supplements. Then, use My Super Formulas (Custom Formula Pool) to directly generate top-tier formulas.
The Super AI Diet Therapy function is realized through Daza Matrix's Species Name Recognition and Supplement Recognition. Based on FoodWake's curated Global Species Library, Global Supplement Library, and Convolutional Neural Networks (CNN), combined with Correlation Coloring implemented by LLM/LSTM+SHA, it identifies all existing species and supplements mentioned in massive volumes of literatures, and performs Semantic-level Word Frequency sorting and Correlation Coloring on the recognized species names and supplements. This makes the most effective species and supplements for the disease or demand stand out and be easily understood at a glance.
With Super AI Diet Therapy, you can customize any disease or demand.
With My Super Formulas (Custom Formula Pool), you can further select the ingredients you most want to use from Super Species Recognition and Super Supplement Recognition to build your own formula pool, and fully control the formula design by specifying Mandatory Ingredients, Number of Ingredients, Target Species, and Special Instructions in the formula pool. Then, let large language models directly generate top-tier formulas based on your formula pool.

Any Disease, Any Goal — Find Top Species & Supplements.

Daza Matrix

Why Choose Daza Matrix

Formulation Design Tool

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