REBIO GROUP Relocates Nanjing Business Center to Marketingforce Global R&D Headquarters, Expanding AI-Enabled Global UGV Operations

REBIO GROUP has officially relocated its Nanjing Business Center to the Marketingforce Global R&D Headquarters at No. 26 Guangming Road, Pukou District, Nanjing.

Marketingforce is a Hong Kong-listed enterprise AI application and digital services company whose business covers AI agents, marketing and sales technologies, customer relationship management, data analytics and enterprise operations.

For REBIO GROUP, with headquarters also in Hong Kong, however, the relocation represents more than a change of office.

The company says the new Nanjing Business Center will assume a broader role in international business development, customer communications, project coordination, global market research and digital operations. It will also serve as a base for embedding artificial intelligence more deeply into three of REBIO’s key international business areas: Unmanned Ground Vehicles (UGVs), CBRN safety and emergency response solutions, and IVD laboratory development and localization projects.

The shift means AI will move beyond its previous supporting role in marketing and information processing and become increasingly integrated into customer requirement analysis, technical proposal development, international market intelligence, project management, supply chain coordination and after-sales support.

From “Using AI” to Integrating AI into Business Processes

The discussion around artificial intelligence in global manufacturing is changing.

The question is no longer simply whether a company uses AI. Increasingly, the issue is whether AI can become part of day-to-day operations and shorten the distance between a customer identifying a requirement and a supplier delivering a workable solution.

Marketingforce’s publicly presented enterprise AI portfolio covers areas including customer acquisition, CRM, data analytics, supply chain management and a range of AI Agent applications. Its broader approach reflects a growing trend toward integrating artificial intelligence across research and development, supply chains, marketing, sales, customer services and business decision-making.

REBIO GROUP intends to bring the same principle into its international operations. This is particularly relevant for a company serving customers across different countries, languages, technical standards and commercial environments.

A REBIO customer in the Middle East may be discussing the payload capacity and operating range of an unmanned ground vehicle. A partner in Africa may be planning the equipment configuration, personnel training and IVD localization strategy for a new diagnostic laboratory. In another market, customers may require solutions for chemical, biological, radiological and nuclear — CBRN — detection, protection or emergency response.

These projects differ considerably, but they share one characteristic:

customers increasingly require more than individual products. They require solutions that are fast to develop, technically accurate and capable of being implemented over time.

These parallel international projects are not hypothetical scenarios. They reflect the type of work already taking place across REBIO GROUP’s global operations, and they are a central reason behind the company’s decision to integrate AI more deeply into its business processes.

AI-Powered UGV Operations: Delivering Better-Matched Solutions Faster

In REBIO’s UGV and unmanned ground vehicle business, one of the first areas where AI can make a difference is the speed and accuracy of requirement analysis and solution development.

Customers rarely ask only for the price of an unmanned vehicle.

A typical UGV project may involve requirements covering payload, driving range, maximum speed, terrain capability, remote-control distance, communications, operation under extreme temperatures, local assembly, modular payload integration and future compatibility with autonomous driving or AI navigation systems.

Under a conventional workflow, these requirements often pass repeatedly between sales teams, engineers, supply chain personnel and management.

By integrating AI into this process, REBIO can structure customer requirements more quickly, compare them against different UGV platforms, identify potential conflicts between specifications and prepare more organized project information for engineering teams.

For customers, the practical benefits are straightforward:

shorter response times, clearer technical communication and a closer match between the proposed UGV configuration and the actual operational requirement.

The benefits are also significant for REBIO’s overseas distributors, local partners, autonomous-driving technology companies and UGV system integrators.

Partners can receive standardized technical documentation, application information and preliminary project recommendations more quickly. This allows them to devote more resources to local customer engagement, autonomous system integration, testing, certification and project delivery rather than repeatedly handling basic information and documentation.

Artificial intelligence cannot replace physical vehicle testing, engineering validation or final commercial judgement. It can, however, remove many of the inefficient steps that occur before those higher-value activities begin.

CBRN Solutions: Turning Large Volumes of Information into Actionable Projects

REBIO’s CBRN business presents a different challenge.

Chemical, biological, radiological and nuclear safety projects can involve extensive product documentation, technical specifications, detection targets, operational scenarios and country-specific procurement requirements.

In these projects, access to information is rarely the principal problem. The harder task is determining, quickly and accurately, which technologies and equipment combinations address the customer’s actual operational requirement.

REBIO plans to use AI-assisted workflows for document classification, customer requirement analysis, solution comparison and project documentation.

For customers, this can make it easier to understand the differences between various CBRN detection, monitoring, protection and emergency response solutions.

For local partners and system integrators, it can reduce the amount of time required during the early stages of project evaluation and proposal preparation.

This becomes particularly important in complex CBRN projects where multiple devices, detection technologies and emergency procedures must be combined into an integrated solution.

The objective is not to allow AI to replace professional safety judgement.

Instead, the aim is to give qualified specialists access to structured information earlier, allowing them to focus their time on the areas where technical expertise and human experience remain essential.

IVD Laboratory Development: AI Enters Complex Cross-Border Project Management

REBIO believes the impact of AI may become particularly visible in its IVD laboratory development and localization business.

Building an in-vitro diagnostics laboratory is rarely a matter of simply purchasing instruments.

An international IVD project may involve laboratory planning, diagnostic equipment selection, reagent configuration, personnel recruitment and training, quality management systems, supply chain arrangements, regulatory registration, local manufacturing, technology transfer and long-term laboratory operations.

Participants may also be spread across several countries.

As a result, an IVD laboratory project is fundamentally a long-term cross-border project management exercise.

AI can help project teams organize tasks by implementation stage, prepare equipment and reagent lists, maintain project knowledge bases, process multilingual technical documentation and identify items that remain incomplete during implementation.

For hospitals, laboratory investors, diagnostic companies and local business partners, this means receiving more than a conventional equipment quotation.

It can provide a more transparent framework for turnkey IVD laboratory development, IVD localization and technology transfer.

Customers can gain a clearer understanding of the current project stage, what needs to happen next, which responsibilities sit with each participant, and how individual decisions may affect investment, implementation schedules and future laboratory operations.

For countries seeking to build local diagnostic capacity, this approach can also support a transition from equipment procurement toward longer-term local IVD production, laboratory localization, workforce development and supply chain capability.

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AI-enabled transformation across REBIO’s core industrial businesses

The relocation of REBIO’s Nanjing Business Center to Marketingforce Center marks more than an office move. It represents a significant step in the company’s strategy to accelerate the integration of artificial intelligence into its core industrial businesses.

The new centre is expected to strengthen REBIO’s ability to explore, develop and apply AI technologies across its major business areas. By connecting more closely with an AI-driven innovation ecosystem, REBIO aims to significantly accelerate the transformation of AI from an operational support tool into a core technology capability that enhances its products, services and industrial solutions.

In the field of unmanned ground vehicles (UGVs), REBIO is advancing the integration of artificial intelligence into autonomous driving, multi-vehicle coordination and intelligent decision-making systems. AI-enabled perception, environmental understanding, path planning and mission-level decision support are expected to enhance the capabilities of future unmanned platforms, enabling them to operate more intelligently, safely and efficiently in complex environments. The new AI-oriented business environment will help accelerate REBIO’s exploration of intelligent mobility solutions, including autonomous navigation, collaborative operation of multiple platforms and AI-assisted mission execution.

For CBRN (Chemical, Biological, Radiological and Nuclear) safety applications, AI technologies will support a new generation of intelligent risk-management solutions. By combining AI-assisted modelling, data analysis and environmental understanding, REBIO aims to improve the speed and accuracy of hazardous-material storage modelling and security assessments. Advanced AI analysis can help identify previously undetected risk factors, recognise unusual patterns within complex datasets and provide security teams with more reliable, predictive and forward-looking decision support. This will enhance the certainty, efficiency and preparedness of CBRN safety management and emergency response operations.

In the IVD (in vitro diagnostics) and biotechnology sector, AI integration will further enhance REBIO’s laboratory and healthcare-related solutions. AI-powered analytical capabilities can support laboratory data interpretation, assisted diagnostics, targeted therapy selection and advanced reproductive technologies. By improving the analysis of complex biological information, AI can assist researchers, clinicians and laboratory professionals in making more accurate and efficient decisions, supporting the development of precision medicine, personalised healthcare strategies and next-generation assisted reproductive technologies.

Through the combination of artificial intelligence with unmanned systems, CBRN safety technologies and life-science platforms, REBIO is building a broader vision of AI-enabled industrial solutions. The establishment of its Nanjing Business Center at Marketingforce Center provides a stronger foundation for this transformation, allowing REBIO to accelerate innovation, shorten development cycles and deliver more intelligent, safer and more efficient solutions to customers worldwide.

Connecting Nanjing with REBIO GROUP’s Global Markets

Marketingforce has also been expanding internationally, with business entities or operational footprints in markets including Hong Kong, the United States, Singapore, Japan, South Korea and Indonesia.

For REBIO GROUP, operating within the same technology-oriented environment as an enterprise AI company does not mean that the two companies’ businesses are formally integrated.

The significance is more practical.

It places REBIO’s Nanjing team in an environment built around artificial intelligence, enterprise digitalization and operational efficiency, at a time when REBIO itself is seeking to apply those capabilities across its international business.

The company plans to translate that environment into measurable improvements in its global UGV business, CBRN solutions, IVD laboratory projects and international partner network.

For customers around the world, whether a manufacturing company has an AI strategy is ultimately less important than what that strategy produces.

The relevant questions are whether products better match real-world requirements, whether communication becomes easier, whether international partners can work more efficiently, and whether complex projects can move from discussion to implementation more quickly.

With its new Nanjing Business Center now operational, those are the outcomes REBIO GROUP will be expected to demonstrate.