# ISTARSHINE

- **Website:** <https://istarshine.com>
- **Primary alias:** `istarshine.com`

## Description

Beijing-based Istarshine, known in Chinese as Zhihui Xingguang, was founded in 2012 and provides AI-powered data governance and decision intelligence services. The company serves government and enterprise organizations with products that combine large-scale data, industry knowledge and AI agents to support monitoring, analysis and decision-making.

Its brand solutions include reputation monitoring, brand intelligence, AI brand cognition and enterprise media-visibility rankings. For public-sector and social governance, its offerings include public-opinion analysis, a video intelligence device, network governance and media-management platforms, and AI decision collaboration tools. The AIDP platform supports enterprise value and business decisions, while AIB Agentic provides business insights and recommendations.

Through SUPINFOR, Istarshine also offers international decision support, including regional research, multilingual media and social intelligence, business updates and risk alerts across more than 100 countries and 50 languages. The company describes its technology foundation as including high-quality datasets, industry knowledge bases, a proprietary decision intelligence model and an extensive AI agent matrix.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idgp3_PNqD/w/5385/h/1700/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1792072884739)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Big Stone | #1a2540 | dark |
| White | #ffffff | light |
| Cloud Burst | #1e3350 | accent |

## Fonts

- Source Serif 4 — asset _(google)_
- Source Han Sans SC — asset _(custom)_

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_Source: <https://brandfetch.com/istarshine.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._