# Caging

**Source:** https://www.startuphub.ai/startups/caging
**Profile type:** Startup

> Caging AI explores innovative AI applications and cutting-edge artificial intelligence tools, focusing on the boundaries and responsible development of AI.

## About

Caging AI is a concept and area of research that investigates the boundaries and responsible development of artificial intelligence. It delves into topics such as AI safety, alignment, and the ethical implications of advanced AI systems, including large language models. The research aims to prevent the misuse of AI and ensure its beneficial integration into society.

## Key facts

- **Slug:** caging
- **Website:** https://caging.ai
- **Founded:** 2026-07-23
- **Operating status:** Active
- **Sectors / tags:** AI Safety, AI Alignment, AI Governance, Responsible AI, Foundation Model, Large Language Model, AI Ethics, AI Research
- **Social:**
  - GitHub: https://github.com/clauseggers

## Frequently asked

### What does Caging do?

Caging AI is a concept and area of research that investigates the boundaries and responsible development of artificial intelligence. It delves into topics such as AI safety, alignment, and the ethical implications of advanced AI systems, including large language models. The research aims to prevent the misuse of AI and ensure its beneficial integration into society.

### What is Caging's Effective Domain Rating?

StartupHub's Effective Domain Rating for Caging is 20 out of 100, measuring real cross-surface visibility in search engines and AI answers rather than claimed link authority. That is underrated against its Ahrefs Domain Rating of 0, meaning it surfaces in search and AI results more than its claimed authority alone would suggest.

### Is Caging trustworthy and reputable?

StartupHub's Data Trust & Reputation score for Caging is 86 out of 100, based on site security posture and privacy practices.

### When was Caging founded?

Caging was founded in 2026.

### What industry does Caging operate in?

Caging operates in AI Safety, AI Alignment, AI Governance, Responsible AI, Foundation Model, Large Language Model.

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