Tailored Service for Generative AI

With extensive experience in project implementation, management and human-machine interaction data platform, Nexdata provides unsupervised learning data collection, cleaning, curation service, as well as tailored data services for supervised learning phrase.

Text Data

Vast collection of unlabeled text data, multiple context options,Covering all K12 subjects and more than 1,500 full-version textbooks.

Parallel Corpus Data

More than 200 million pairs of massively parallel corpus, support multi-lingual translation, and is continuously expanding.

SFT Question-Answer Pairs

500,000 pieces of SFT instruction fine-tuning data, content security data, complex instructions follow data to targetedly improve large models’ ability to identify sensitive issues.

Multimodal Data

2 million sets of general scene image description data,Covering landscapes, animals, flowers and trees, people, cars,various categories including sports, industry,etc.

Supervised Fine-Tuning（SFT）Data

Help large models quickly improve their logical reasoning, complex instruction following, and sensitive question response capabilities.

Red Teaming

Help customers discover problems with their models in terms of inaccurate information (illusion), harmful content, false information, discrimination, language bias, etc.

RLHF

Perform manual ranking and multi-factor scoringaccording to rules for multiple results generated by the SFT-trained model.

Data Curation Service

Provide targeted data cleaning solutions and personnel services based on the data types and characteristics of the customer's field.

Evaluation of Experience

Nexdata's specialized benchmarking and evaluation services helps you gain critical insights into end users' perceptions about your models performence.

Compliance & Security

Nexdata place the utmost emphasis on data security and client trust. We follows Personal Information Protection Act, GDPR, CCPA, PIPC and HIPAA regulations. we have also achieved ISO 27001,ISO 27701 and ISO 9001 qualifications for security and regulatory compliance. Nexdata delivers unparalleled data security, earning the trust of our clients through our adherence to these globally recognized standards.

Case Studies

USE CASE：Unsupervised Data Cleaning.
CHALLENGE：The client is a well-known large model company. It hopes that Nexdata can assist in parsing 10 million PDF papers in different formats and layouts.
SOLUTION：Nexdata assist in parsing 10 million PDF papers in different formats and layouts, and create high-quality unsupervised data, so that it can show better results in the model pre-training stage.

Foundation Model Reinforcement Learning Data Annotation

USE CASE：Foundation Model Reinforcement Learning Data Annotation.
CHALLENGE：The client is a well-known listed AI enterprise who wants to enhance LLM reinforcement learning algorithms.
SOLUTION：Nexdata assists this client in annotating user queries and outputs, while also scoring outputs and sorting outputs with equal scores. With 1 week ramp up time, we selected and trained 250 annotators, using only 6 months time, 5 million pieces data and 1 million piece dataof RLHF tasks have been successful annotated with high quality.

USE CASE：Multimodal Data Annotation.
CHALLENGE：The client is an innovative tech enterprise focused on household and corporate carbon management, who are developing its own LLM.
SOLUTION：With the client possesses pre-annotated multimodal data generated by LLM models. Nexdata assists client in manually reviewing and annotating these data, including image caption and bounding box labeling for image object detection.

USE CASE：Large Language Model Evaluation.
CHALLENGE：The client is a national laboratory that has recently unveiled the world's first knowledge-enhanced trillion-scale large language model who wants to strategically enhance the model's performance.
SOLUTION：Nexdata assists the client in conducting evaluations across two dimensions: domain-specific answering capability and security.

Why Nexdata