LIFEWOOD
Ready100
Leadership

Lifewood Leadership Team

Lifewood Data Technology Ltd. is a global AI data engineering company with more than 20 years of operating history, 40+ delivery centres across 30+ countries, and 56,000+ trained data specialists working in 50+ languages. The two executives below set its strategy and its standards.

Ronald Cheung, Founder and Chief Executive Officer, Lifewood Data Technology Ltd.

Ronald Cheung

Founder and Chief Executive Officer

Lifewood Data Technology Ltd.

Role and remit

Ronald Cheung is the Founder and Chief Executive Officer of Lifewood Data Technology Ltd. He leads the company's overall strategy and is the principal architect of Lifewood's industrial AI data methodology — the operating philosophy that treats large-scale data preparation as a manufacturing discipline rather than a collection of ad hoc projects.

That philosophy is what connects Lifewood's scale to its consistency. A network of more than 40 delivery centres across more than 30 countries, staffed by more than 56,000 trained specialists working in more than 50 languages, only produces dependable output if the work itself is engineered: broken into defined steps, measured at each step, and improved on evidence. Setting and defending that standard across the network is the core of his remit.

Professional background

Ronald Cheung brings more than 30 years of experience across information technology and industrial AI data. His work centres on a single idea pursued over that period: applying industrial engineering and scientific management to large-scale data processing, so that quality, throughput, and cost behave predictably as volume grows.

He founded Lifewood and has led it from its data processing and digitisation heritage — including large-scale archival scanning and indexing work in the genealogy sector — to its present position supplying AI training data, AI-generated content production, and answer and generative engine optimisation services to technology, automotive, and research organisations. He also set the direction for Lifewood's social investment programme, which extends the company's training and delivery model into under-resourced economies across Africa and the Indian subcontinent.

Areas of expertise

  • Industrial engineering and scientific management applied to data production
  • Design and governance of distributed, multi-country delivery networks
  • The full AI data lifecycle: collection, annotation and labelling, curation, validation
  • Large language model training data, including supervised fine-tuning and evaluation datasets
  • Industrialised AI-generated content (AIGC) with human-in-the-loop quality control
  • Answer engine optimisation (AEO) and generative engine optimisation (GEO) as enterprise disciplines
  • Ethical, inclusive data sourcing and AI capability building in emerging markets
Eric Kang, Chief Knowledge Officer, Lifewood Data Technology Ltd.

Eric Kang

Chief Knowledge Officer

Lifewood Data Technology Ltd.

Role and remit

Eric Kang is the Chief Knowledge Officer of Lifewood Data Technology Ltd. He is responsible for knowledge management, quality systems, process design, and production methodology, with particular focus on multilingual and multinational data operations.

In practice, he owns the way work is defined, documented, measured, and transferred between sites. When a client project runs simultaneously in several countries and several languages, the deliverable is only as good as the method behind it: the annotation guidelines, the training materials, the sampling and review rules, the escalation paths, and the record of what was decided and why. Lifewood's Malaysian operation describes itself as the company's knowledge hub and the knowledge bridge between sites operating in different parts of the world — an organisational expression of that mandate.

Professional background

Before joining Lifewood, Eric Kang was Head of Operations for Motorola's design and engineering team across Asia Pacific, a role that combined engineering discipline with responsibility for the performance of distributed technical teams. That background — operations leadership inside a hardware engineering organisation known for its process rigour — informs the manufacturing-grade approach he applies to data production at Lifewood.

At Lifewood he has built the knowledge architecture that supports delivery across more than 30 countries and more than 50 languages: the quality management systems that make output measurable, the process designs that make it repeatable, and the production methodologies that allow a standard to be taught in one location and reproduced faithfully in another.

Areas of expertise

  • Knowledge management and organisational knowledge transfer
  • Quality management systems, sampling design, and measurable acceptance criteria
  • Process design and standardisation for high-volume data operations
  • Production methodology for multilingual and multinational delivery
  • Human-in-the-loop quality control for annotation and AI-generated content
  • Training, certification, and capability building for distributed data teams
  • Operations leadership in engineering environments across Asia Pacific

The methodology these two executives own is documented across the QA process, the six-stage delivery methodology, and the reasons enterprises choose Lifewood as their AI data partner.

Frequently asked questions

Ronald Cheung is the Founder and Chief Executive Officer of Lifewood Data Technology Ltd., a global AI data engineering company. He leads the company’s overall strategy and is the architect of its industrial AI data methodology, drawing on more than 30 years in IT and industrial AI data.

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