# EBIT

> EBIT designs, scales, and validates AI data systems for frontier model development and production AI deployment. Its B2B services support AI research teams, enterprise technology leaders, and public sector organizations through expert-driven data solutions and enterprise AI implementation.

EBIT Co., Ltd. is based in Seoul, Republic of Korea. This website presents its business services in English and Korean. The links below point to the English pages on the canonical domain, https://ebitglobal.ai. Korean versions are available by replacing the /en locale prefix with /ko.

EBIT's business spans two areas: data solutions for developing, aligning, and evaluating AI models; and enterprise AI services for designing, validating, and deploying AI systems in business and public sector environments. Its expertise combines domain specialists, multilingual data operations, data engineering, and model evaluation. EBIT is headquartered in Korea, with regional operational hubs in Japan and Singapore.

EBIT builds and operates Assemble (https://weassemble.ai), its expert contributor platform. Assemble connects companies with contributors vetted for domain expertise and offers contributors paid freelance opportunities in AI training, data annotation, human feedback, and model evaluation. EBIT's website covers B2B data services and enterprise AI deployment; Assemble's website covers the contributor platform, project opportunities, and participation policies.

## Company

- [Company Overview](https://ebitglobal.ai/en): Overview of EBIT's approach to AI data design, expert validation, scalable data operations, and production AI architecture.

## Services

- [Data Solution](https://ebitglobal.ai/en/data-solution): Expert-labeled training data for supervised fine-tuning (SFT), human feedback and preference data for reinforcement learning from human feedback (RLHF), red teaming, and benchmark-grade model evaluation, including LLM-as-a-Judge systems. Coverage includes multilingual reasoning, STEM, coding (including terminal-based datasets for coding agents), multimodal audio and video, finance, legal, healthcare, and custom domains. Quality controls include contributor screening, separate production and review roles, independent subject-matter validation, and continuous sampling, monitoring, and audits.
- [Enterprise AI](https://ebitglobal.ai/en/enterprise-ai): AI system design, knowledge structuring, data engineering, and evaluation for enterprise and public sector deployment. Capabilities include large language model (LLM), retrieval-augmented generation (RAG), and agent-based architectures, structured data pipelines, and governance frameworks. Services span use-case and data planning, domain-specific data collection, processing and standardization, multi-layer quality control, deployment, and real-world evaluation, including red teaming.

## Business Inquiries

- [Contact EBIT](https://ebitglobal.ai/en/contact): Contact the team about AI training and evaluation data, domain-specific datasets, enterprise AI adoption, or public sector AI projects.

For an initial project discussion, describe the business use case, model or system requirements, target languages and domains, data needs, evaluation goals, and intended deployment environment. Consult the team for project scope, pricing, delivery timelines, and applicable security or compliance requirements.

## Resources

- [Newsroom](https://ebitglobal.ai/en/news): Company news, announcements, and articles about EBIT's AI work. Individual news pages include links to the original articles.
- [Careers](https://ebitglobal.ai/en/careers): Current career opportunities at EBIT, with role descriptions, responsibilities, requirements, and application instructions.
- [Assemble - EBIT's Expert Platform](https://weassemble.ai): The platform built and operated by EBIT, connecting global contributors with AI data projects. Prospective contributors can explore opportunities here; business customers can use EBIT's contact page to discuss data services and enterprise AI deployment.
- [About Assemble](https://weassemble.ai/about): Overview of the platform's role in AI training, human feedback, and model evaluation.

## Optional

- [Privacy Policy](https://ebitglobal.ai/en/privacy): Information about personal data handling and privacy rights.
- [Terms & Conditions](https://ebitglobal.ai/en/terms): Terms governing use of the website.
- [Sitemap](https://ebitglobal.ai/sitemap.xml): Index of published website URLs, including localized pages and news articles.