In 2026, Apextech Intelligent Solutions Sdn. Bhd. successfully signed a Joint Venture Agreement with local partners to revolutionize traditional palm estate operations. This landmark collaboration marks the transition from conventional plantation practices to a fully integrated AI‑powered Smart Palm Estate.
This pioneering project will not only reshape the plantation ecosystem with automation, data intelligence, and sustainable energy integration, but also stand as the first smart plantation in Sabah’s industry. By combining advanced technology with sustainable practices, the initiative sets a new benchmark for agricultural innovation and positions Sabah at the forefront of Malaysia’s digital agriculture transformation.
In 2023, Apextech Intelligent Solutions Sdn. Bhd. proposed a Smart Solar System to the State of Sabah, offering brighter, smarter, and more efficient street lighting than existing solutions. Beyond illumination, the system integrates advanced technology to generate income through a Public–Private Financing Initiative (PFI). This sustainable model empowers Sabah to reinvest in modern infrastructure, paving the way for a smart city powered by renewable energy. Our vision is clear: brighter streets, smarter cities, and a sustainable future for Sabah.
On October 17, 2025, Apex Group and Malaysia’s Al‑Hidayah Group Sdn. Bhd. signed a landmark MOU, marking a new era of strategic cooperation. The partnership combines Apex’s expertise in advanced digital technologies AI, cloud computing, big data, and intelligent construction with Al‑Hidayah’s deep local market presence. Together, they will drive two flagship projects: the World Islamic Center of Excellence (WICE) Complex, envisioned as Malaysia’s first smart landmark, and the D8 CEFC Digital Platform, designed to empower enterprises with digital transformation. This collaboration sets a benchmark for innovation, sustainability, and economic growth across Southeast Asia.
Between 2024 and 2025, Apextech Intelligent Solutions Sdn. Bhd. expanded its role into the construction sector, actively participating in several government‑linked projects. Our expertise extended beyond primary development to include subcontracting works, where we delivered reliable execution and technical support. These projects strengthened Apextech’s reputation as a trusted partner in infrastructure development, showcasing our ability to integrate smart technologies with traditional construction. Through these engagements, Apextech continues to contribute to Malaysia’s progress with innovation, quality, and sustainable solutions.
In 2026, Apextech Intelligent Solutions Sdn. Bhd. embarked on its prime initiative—the first Smart Agriculture project in Sabah. Through a joint venture with a landowner, Apextech is transforming 1,800 acres of palm oil estate into a fully integrated smart plantation program. This pioneering effort leverages advanced technologies in automation, AI, and sustainable energy to redefine plantation management. Apextech is also working closely with Universiti Malaysia Sabah (UMS) in Sandakan, forging a strong partnership to drive research, innovation, and training. Together, these collaborations position Sabah as a leader in smart agriculture for 2026–2027.
Apextech Intelligent Solutions Sdn. Bhd. is leading Sabah’s first Smart Agriculture project, transforming 1,800 acres of palm oil estate into a fully automated Smart Plantation. This landmark joint venture integrates AI, IoT, and sustainable energy to optimize yield, reduce costs, and modernize plantation management. Apextech works hand‑in‑hand with Universiti Malaysia Sabah (UMS) in Sandakan, ensuring research collaboration, knowledge transfer, and workforce training. Running through 2026–2027, the project positions Sabah as a pioneer in smart agriculture, driving innovation, sustainability, and economic growth for the region.

Apextech Intelligent Solutions Sdn. Bhd. has established a strong financing collaboration between China and Malaysia to support the Smart Plantation program. This financing model goes beyond funding construction—it also covers the advanced technologies that will drive the transformation of the 1,800‑acre palm oil estate into a fully integrated smart agriculture ecosystem. By embedding AI, IoT, and automation into plantation operations, the program ensures efficiency, sustainability, and innovation. Importantly, this initiative is designed not only for commercial success but also to enhance food security, supporting Sabah’s long‑term agricultural resilience and economic growth.

Apextech Intelligent Solutions Sdn. Bhd. integrates cutting‑edge technologies to power the Smart Plantation program. The initiative combines Artificial Intelligence (AI), Internet of Things (IoT), automation, and data analytics to monitor, analyze, and optimize every stage of plantation operations—from soil health and irrigation to harvesting and logistics. Smart sensors and drones provide real‑time data, while AI algorithms enhance decision‑making and productivity. Supported by joint financing from China and Malaysia, Apextech’s technology ecosystem ensures sustainable growth, efficient resource use, and improved food security, setting a new benchmark for intelligent agriculture in Sabah.







Professor Lu Wei is a Professor and Doctoral Supervisor at Southeast University, specializing in embodied‑intelligence robots and large‑model‑enabled rapid nondestructive testing. He earned his master’s and doctoral degrees from the Robotics Laboratory of Southeast University (2005, 2011) and was a visiting scholar at Michigan State University (2016–2017). With over 20 years of experience, his work spans robotics, optics, mechanics, electronics, algorithms, software, control, and AI, with deep expertise in integrating these fields to solve complex industrial, agricultural, and aerospace challenges.

Professor Fang Di is a Zhongshan Scholar at Nanjing Agricultural University and a recognized academic leader under Jiangsu’s Qinglan Project. His research focuses on microbial conversion and high‑value utilization of organic waste, as well as soil organic matter turnover. He has led or contributed to more than ten major projects funded by the National Natural Science Foundation of China, published over 50 papers in leading journals, and holds eight Chinese invention patents. His contributions have earned him multiple national awards, including three First Prizes for technological and innovation achievements between 2016 and 2022.

Professor Dapeng Chen is a Professor and Master’s Supervisor at Nanjing, recognized as an Outstanding Young Key Faculty Member under Jiangsu’s Qinglan Project and a Leading Young Talent of Nanjing. His research focuses on multimodal human–computer interaction, intelligent robotics, and related systems. He has led multiple national and provincial research projects, published over 60 papers in leading IEEE journals and conferences, and holds more than 20 invention patents. His work has earned prestigious honors, including the National Outstanding Doctoral Dissertation Award, medals at the International Exhibition of Inventions Geneva, and several provincial science and technology awards.

Professor Xinping Ding is a distinguished scholar at Nanjing University of Information Science and Technology, an IEEE member, and council member of several electrical engineering societies in Jiangsu and China. He earned his Ph.D. in Electrical Engineering from Zhejiang University in 2007 under Professor Fangzheng Peng and Professor Qian Zhaoming. His research focuses on renewable energy power conversion, advanced control algorithms, and intelligent applications in high‑performance converters. He has published over 60 papers, holds more than 20 patents, and has received multiple provincial awards for scientific and technological progress.

Associate Professor Yiguang Gong specializes in unmanned systems and intelligent computing, with extensive experience leading national and provincial research projects. His work bridges academia and industry through advanced robotics and AI integration. As Robotics Systems Manager, he oversees applied research and development in autonomous technologies, driving innovation and practical deployment across industrial and smart‑system projects.

Associate Professor Yang Yang, Head of Mechatronic Engineering at NUIST, specializes in soft and bio‑inspired robotics, artificial muscles, smart materials, and flexible sensors. With a Ph.D. from the University of Hong Kong and postdoctoral experience at HKUST, he has published over 60 papers and earned multiple international awards in robotics innovation. As Advanced Robotics Project Manager, he leads applied R&D initiatives, translating cutting‑edge academic research into practical solutions for industrial and smart‑system applications.

Lecturer Zhong Wei, Master’s Supervisor at NUIST, specializes in robot design, perception, control, and applications. With a Ph.D. from Southeast University, he has led multiple national and provincial research projects, published in leading robotics journals, and obtained 15 invention patents. As Robotics Development Manager, he focuses on bridging academic innovation with practical industry applications, guiding project development and mentoring young engineers in intelligent robotics.

Lecturer Chuande Liu, IEEE Member and Master’s Supervisor, earned his Ph.D. in Electrical Engineering from Southeast University in 2022. His research focuses on electric transportation engineering, special‑purpose robots, and UAV‑assisted landing technologies. With experience leading national research projects, publishing over ten papers, and securing four invention patents, he brings strong expertise in applied innovation. As Electric Mobility Project Manager, he supports the company’s initiatives in advanced robotics and smart transportation systems, ensuring practical deployment of cutting‑edge technologies.

Lecturer Huan Wang, IEEE Member, specializes in compliant mechanisms, multimodal manipulators, and mobile manipulation robots. With degrees in mechanical engineering and a Ph.D. in electrical engineering from Southeast University, he has published over ten papers and holds six invention patents. As Mechatronics Development Manager, he applies his expertise in robotics and smart materials to advance innovative solutions in automation and intelligent systems.

Professor Kai Hu, Doctoral Supervisor at Nanjing University of Information Science & Technology, specializes in multisource data fusion and federated learning for industrial applications. With over 50 SCI‑indexed publications and extensive project leadership experience, he brings deep expertise in predictive analytics and intelligent automation. As Data Intelligence Director, he oversees the integration of AI‑driven analytics and smart systems to enhance decision‑making and operational efficiency across projects.