Langhui.
National Class-B Confidentiality Qualification · 15 Years of Expertise · Peking University Science Park

Helping every AI model
achieveexpert-level trustworthiness

15 years of deep-tilled AI training data, focusMedical AI, intelligence and lawThree core tracks. End-to-end services from data collection, cleaning and de-identification, and intelligent annotation to expert final review, providing trustworthy data infrastructure for frontier AI models.

99%+
Data accuracy rate
Level 3 Quality Review + Expert Final Review
5,000+
Accreditation experts
Pass Rate < 25%
500TB+
Trustworthy Data Assets
Covering 6 Core Segments
15 Years
Industry Experience
From Annotation to Research

The future of AI is not about training more data.
but rather on training withMore trustworthy data

Data that experts trust.

Focused on Three Core Tracks, Building Frontier AI Data Infrastructure

With medical AI data at the core and embodied AI and legal as the two wings — Langhui underpins next-generation AI system training with professional data capabilities.

Core Track · Medical AI

Medical AI training data chain service

Million-scale health-checkup datasets + MVD surgical video annotation + a medical expert panel, covering the full chain of imaging diagnosis, assisted diagnosis and treatment, and drug R&D. From CT image annotation to WSI pathology slide review, delivering clinically usable data for medical AI models.

1M+
Health Checkup Datasets
3,000+
Medical Experts
Level 5
Quality Control System
HIPAA
Equivalent Compliance
Access to medical AI data
MEDICAL AI DATA
Frontier Track · Embodied AI

Smart data acquisition and labelling

Robot scenario data collection + action and behavior annotation + multimodal alignment. Self-developed capture hardware + LiDAR point-cloud annotation, covering humanoid robots, industrial robotic arms and service robots across all scenarios.

5 Products
Self-Developed Hardware
3 Sets
Software Toolchain
LiDAR
Point Cloud Annotation
Getting smart data.
Professional Track · Legal

Legal compliance data services

Intelligent legal document annotation + contract review datasets + a legal expert network, covering the full range of compliance review, case analysis and contract auditing. Compliance-driven annotation with full-scenario legal coverage.

500+
Legal Experts
Compliance
Driven Annotation
Full Scenario
Legal Coverage
Explore Legal Data →

7,600+ Certified Experts Endorsing Data Quality

From chief physicians to PE/VC partners, industry experts across 22 major professional domains provide the final validation of human intelligence for AI model training.

<25%

Four Access Reviews

Credential verification + professional testing + hands-on assessment + continuous rating, with a pass rate below 25%, ensuring every expert reaches industry-leading standards.

2h

Rapid response.

AI-powered matching plus a 2-hour rapid-response mechanism — from requirement submission to expert matching, average response time is under 2 hours.

22 Major

Professional Domain Coverage

Covering 22 major professional domains including medicine, law, engineering and education, with experts ranging from chief physicians to PE/VC partners.

Customer Cases: Proving Value with Data

Real collaboration outcomes from partners in medical AI, foundation model R&D and beyond — not anonymous testimonials, but quantifiable data value.

Medical AI · Imaging Diagnosis

Training data for pulmonary knot detection models

Provided CT image annotation datasets for the medical imaging algorithm team of a leading AI enterprise, with annotation accuracy meeting clinically usable standards, supporting lung nodule detection model training.

+12% AUC Improvement (After Training)
Medical AI · Pathology Slides

The pathological slice is marked for three years.

Three years of collaboration with the pathology department of a tertiary hospital; the 7,600+ expert network matches chief physicians to deliver professional-grade review opinions on every WSI — a level of quality that is rare in the industry.

3 Years Ongoing Collaboration · Chief-Physician-Level Review
Foundation Models · STEM Reasoning

STEM training in data production for mathematics

Provided STEM math problem production platform data for the reasoning-capability R&D team of a major AI foundation model company, spanning the full difficulty range from high-school competitions to master's and doctoral level, supporting reasoning model training.

+15% MATH Benchmark Score Improvement

Langhui Research Institute: The Data → Evaluation → Research Flywheel

More than a data annotation factory — Langhui drives data with research and feeds research with data, building an industry knowledge flywheel.

WHITEPAPER

2026 China Medical AI training data quality White paper

Drawing on Langhui's 15 years of medical data service experience, a systematic analysis of quality standards, evaluation methods and industry trends for medical AI training data.

Coming Soon
OPEN SOURCE

MedLabel-CT: CT-marked sample collection of open-source lung

A high-quality annotated lung CT sample set open to the research community, containing expert-level annotations and quality-control metadata, advancing the standardization of medical AI data.

Open Source Preview
INSIGHT

From text material to intelligence: high-level legal label for building evidence closed loops

Exploring how the legal domain can build a traceable and explainable evidence loop through high-order annotation — from entity recognition to causal reasoning.

Read full text

Eight Foundational Capabilities Covering the Full Data Stack

From frontier model alignment to embodied AI, from multimodal understanding to Agentic AI, Langhui underpins next-generation AI system training with professional data capabilities.

Frontline model alignment

CoT reasoning traces, expert RLHF, SFT demonstration data, adversarial red-teaming.

Agentic AI Smart

Golden trajectory data, RL environment design, failure mode taxonomy, in-depth SWE evaluation.

Audio technology

Expressive TTS synthesis, emotion detection, multi-dialect speech, 500+ international languages.

Multimodular Large Model

Fine-grained VLM training data, image-text contrastive pairs, spatiotemporal video annotation.

Smart / Physical AI

LiDAR point-cloud annotation, multi-sensor fusion, robot demonstration trajectories.

Model assessment and security

Hallucination benchmarking, compliance auditing, bias detection, continuous monitoring.

Computer visual label

Bounding boxes, keypoints, semantic segmentation, OCR annotation, consecutive video frames.

Large model data label

Intent classification, QA pairs, semantic segmentation, speech recognition, video classification.

National-Level Administrative Access, Not Just ISO Certification

Not a certification you can simply buy, but an administrative entry barrier — Langhui backs data compliance with national-level qualifications.

National level B qualification

Qualifications at the national administrative level

ISO 27001 Certified

Information security management system

CMMI Level 3 Certified

Software capacity maturity model

7600+Accreditation experts

Four-Tier Review Access

Dedicated to Data, Driving Continuous Innovation

Years of professional accumulation, from traditional data annotation to frontier AI data infrastructure — Langhui continues to drive the industry forward.

2016
Establishment
Focus on AI data services
2018
Medical data layout
Networking of experts
2020
Large Model Data Age
NLP Language Breakout
2022
Level B qualification
7600+Accreditation experts
2024
Multimodular Full Layout
Getting smart to sail.
2026
Frontline AI data infrastructure
Agentic AI + Physical AI

Choose the Partnership Model That Fits You

From data browsing to custom solutions, there is always one that fits your needs.

Luo

Luo Kun · General Manager

Embodied AI Data Collection · Contact

WeChat: langhuiai
Beijing University Science and Building B 3rd Floor

Changsha Langhui Information Technology Co., Ltd.
With trustworthy data as the foundation, expert intelligence as the benchmark, and a compliance system as the moat, delivering high-quality training data for frontier AI models.

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