# Data Genes Inc.

Source: https://www.datagenes.ai/ (this file is the same content as the home page, in Markdown)

## Artificial intelligence built on four-dimensional geometry.

Data Genes designs neural networks around the structure of the tesseract and studies systems that improve their own ability to learn. Our work is for the people who engineer medicines, read genomes and care for patients.

A tesseract is a cube extended into a fourth dimension. The animation on the home page shows its shadow in three.

## Focus: two research programs

### 01. Geometric deep learning

A standard neural network starts with no notion of shape or symmetry. We build geometry into the architecture. The organising structure is the tesseract, the four-dimensional cube: 16 corners, 32 edges, 24 faces and 8 cells, each with a defined relationship to the others.

Where that structure helps is the question we work on. We test it. We do not assume it.

### 02. Recursive self-improvement

A system that improves with experience is familiar. A system that improves its own ability to improve is a harder problem, and it is the centre of our work. We study it in populations of software agents that inherit traits, vary and face selection, the same logic that shapes living genomes.

We treat it as a question of measurement. The test is fixed before the experiment runs.

## Fields: for people who work on living systems

We are at the research stage, and we are looking for a small number of design partners in three fields.

- **Pharmaceutical engineering.** Teams who discover, design and manufacture medicines.
- **Genetics and genomics.** Researchers who work with long biological sequences, where structure appears at many scales at once.
- **Clinical medicine.** Physicians and clinical researchers who hold a model to the standard of evidence they apply to any other tool.

## How we work

We decide how a result will be judged before we run the experiment. We keep the results that improve learning.

## Contact

If your team works in one of these fields and wants to explore a research partnership, write to us. Tell us what you work on and what you would want a model to do.

Email: wesley@datagenes.ai

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(c) 2026 Data Genes Inc. A short summary for AI agents is at https://www.datagenes.ai/llms.txt