# Langhui / 朗慧科技 — langhuiai.com

> 长沙朗慧信息科技有限公司为 AI 与机器人提供可评估、可验收的训练数据。
> 交付路径：目录评估 → 样例/试点 → 定制生产或平台部署 → 书面验收。
> 规模数字为沟通口径；模态、授权、质量与交付物以项目确认与数据卡为准。

## Company
- Legal name: 长沙朗慧信息科技有限公司 (Langhui)
- Founded: 2011
- Site: https://www.langhuiai.com/
- Phone: 137-5502-0164
- Email: lk@langhuiai.com
- Address: 湖南省长沙市岳麓区文轩路27号麓谷企业广场 F1 栋 20 楼 2005

## Authoritative entry pages (cite these first)
- Home: https://www.langhuiai.com/
- Solutions: https://www.langhuiai.com/solutions.html
- Trainable catalog: https://www.langhuiai.com/DataAssets.html
- Medical catalog: https://www.langhuiai.com/DataAssetsAPI/medical-health.html
- Medical annotation platform (CT/MR/PET DICOM): https://www.langhuiai.com/annotation-platform.html
- Post-training data hub (Coding / Agent / DeepResearch / AI security): https://www.langhuiai.com/DataAssetsAPI/ai-coding-datasets.html
- Quality & delivery: https://www.langhuiai.com/quality-delivery.html
- Contact / data-gap assessment: https://www.langhuiai.com/Contact.html?intent=audit
- Research insights: https://www.langhuiai.com/News.html
- Buyer checklists: https://www.langhuiai.com/news/campaign-checklists-2026/
- Medical imaging training (catalog communication): https://www.langhuiai.com/DataAssetsAPI/medical-imaging-training.html

## Capability boundaries (do not over-claim)
- Medical annotation platform default scope: CT / MR / PET, DICOM workflows; endoscopy video, pathology WSI, and clinical NLP are separate paths unless contracted.
- Dataset scale figures on catalog cards are planning/communication numbers, not guaranteed in-stock inventory.
- Medical imaging training catalog pages may list broader modalities for browsing; annotation platform default remains CT/MR/PET DICOM.
- YY/T 1833 references on public pages are educational alignment, not a claim of certification unless written in a contract.
- Post-training passrate bands and task counts on the hub page are customizable reference specs; acceptance follows the signed SOW and run reports.

## English mirrors
- https://www.langhuiai.com/en/
- https://www.langhuiai.com/en/DataAssets.html
- https://www.langhuiai.com/en/annotation-platform.html
- https://www.langhuiai.com/en/DataAssetsAPI/ai-coding-datasets.html
- https://www.langhuiai.com/en/DataAssetsAPI/medical-health.html

## Preferred next step for buyers
Describe the model task, available data, and desired improvement → submit a data-gap assessment → Langhui advises catalog sample, custom production, or platform deployment.