Collaboration aimed at accelerating R&D in both small- and large-molecule analysis and building high-impact capabilities in fast-growing Asian markets
KUALA LUMPUR, Malaysia, Dec. 5, 2025 /PRNewswire/ -- Agilent Technologies Inc. (NYSE: A) announced the expansion of their strategic collaboration with Monash University in Malaysia to establish a state-of-the-art MUMPMP-Agilent BioDiscovery Hub aimed at accelerating regional biotechnology research and innovation. The new Memorandum of Understanding (MOU) was signed as part of the celebration of their 15-year strategic partnership, underscoring Agilent's continued commitment to advancing high-impact R&D capabilities in fast-growing Asian markets.
Under the renewed agreement, Agilent will place its high-resolution Revident Quadrupole Time of Flight LC/MS systems, coupled with 1290 Infinity III High-Performing LC series, and the next-generation 5977C Gas Chromatography/MSD, at the new hub to support mutually agreed research programs, applications development, workshops, and scientific training. This collaboration is designed to accelerate R&D in both small- and large-molecule analysis, enabling deeper insights across biomedical, pharmaceutical, and molecular biology fields.
"This collaboration reflects Monash University Malaysia's commitment to delivering world-class research infrastructure that advances discovery and benefits our communities. The MUMPMP–Agilent BioDiscovery Hub strengthens Monash's position as a regional leader in proteomics, metabolomics, and biotechnology innovation. By combining Agilent's state-of-the-art technologies with Monash's research excellence and multidisciplinary ecosystem, we are empowering our scientists and partners to drive impactful solutions for Malaysia and the Asia-Pacific region." Said Dr Syafiq Asnawi, Senior Lecturer in Biomedical Science and Director of the Department of Molecular Epidemiology & Translational Medicine and the MUM Proteomics & Metabolomics Platform.
"At Agilent, we support Monash University in enhancing biological research through proteomics, metabolomics and lipidomics. Our renewed collaboration with Monash University Malaysia continues our 15-year collaboration and positions Agilent as a leader in biotechnology innovation. The BioDiscovery Hub will drive scientific progress, talent development, and creating long-term value for customers and partners," said Bharat Bhardwaj, Agilent's vice president of Sales for Asia Pacific.
With more than 25 years of presence in Malaysia, Agilent continues contributing to the nation's scientific landscape, helping drive national progress through academic-industry partnerships and workforce development, and reinforcing Malaysia's position as a growing hub for analytical and biotechnological innovation across the region.
About Agilent Technologies
Agilent Technologies Inc. (NYSE: A) is a global leader in analytical and clinical laboratory technologies, delivering insights and innovation that help our customers bring great science to life. Agilent's full range of solutions includes instruments, software, services, and expertise that provide trusted answers to our customers' most challenging questions. The company generated revenue of $6.95 billion in fiscal year 2025 and employs approximately 18,000 people worldwide. Information about Agilent is available at www.agilent.com. To receive the latest Agilent news, subscribe to the Agilent Newsroom. Follow Agilent on LinkedIn and Facebook.
Media Contacts
Grace Thong
Agilent Technologies
+65 9688 2152
grace.thong@agilent.com
** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **
Agilent and Monash University Malaysia Mark 15-Year Partnership with New BioDiscovery Hub to Drive Regional Biotech Innovation
SHENZHEN, China, April 1, 2026 /PRNewswire/ -- On March 30, Delonix Group presented two new initiatives at its 2026 strategy conference: Genie AI, embedded in its Betterwood App, and a customer experience framework known as the Heavenly Stems & Earthly Branches Model.
Individually, they resemble product and service upgrades. Taken together, they suggest something more structural: an attempt to replace the logic on which the hospitality industry has operated for decades.
For most of its modern history, the sector has been governed by a simple equation—growth through physical expansion. More rooms, better locations, higher occupancy. Scale was both strategy and moat.
That equation is beginning to break.
Chairman Zheng Nanyan framed the shift not as cyclical, but structural. The convergence of maturing consumer expectations and rapidly deployable AI systems is eroding the effectiveness of asset-led growth. Standardization, once a tool for efficiency, now produces indistinguishable experiences. Capital intensity, long tolerated, is becoming a constraint.
What is emerging in its place is not a more efficient version of the same model, but a different organizing principle altogether: demand, not supply, as the system's point of origin.
From Capacity to Interpretation
In this emerging model, the central problem is no longer how to build and fill capacity, but how to interpret and respond to fragmented, real-time customer intent.
This is where Delonix is positioning Genie AI.
Unlike most applications of AI in hospitality—which tend to sit at the interface level—Genie AI is designed to sit in the middle of the system, between intent and execution. It does not simply respond to requests; it structures them.
A guest interaction—whether through app input or voice—is translated into a sequence of executable tasks, routed through a centralized decision layer, and distributed to the nearest available human resource, before feeding back into the system as data.
The technical architecture is not unprecedented. What is notable is the ambition to make it foundational.
If it works as intended, service ceases to be a function of individual responsiveness and becomes instead a property of the system itself. Variability, historically managed after the fact, is designed out at the level of coordination.
In that sense, AI is no longer augmenting service. It is defining its boundaries.
Standardization Was the Solution. Now It Is the Constraint.
The industry's previous growth model depended on standardization: replicable rooms, predictable services, consistent delivery across locations. This enabled scale, but at the cost of differentiation.
As consumer expectations evolve, that trade-off is becoming less acceptable.
Delonix's response is not to abandon standardization, but to layer variability on top of it—systematically.
The Heavenly Stems & Earthly Branches Model introduces a framework in which products and services are no longer fixed configurations, but evolving modules. Customer interaction becomes an input into how the product itself is iterated over time.
The implication is subtle but significant.
Hotels are no longer static assets with service attached. They become adaptive systems, where the product is continuously reshaped by usage.
For customers, this promises a form of progression—an experience that accumulates rather than resets. For operators and investors, it suggests a shift from one-off capital deployment to ongoing, incremental reconfiguration.
In both cases, the underlying assumption is the same: value is not embedded in the asset, but generated through interaction.
Control Shifts to the System Layer
What ties these elements together is not technology alone, but control.
In the traditional model, control resided in assets—ownership, location, physical scale. In the emerging model, it moves upward, into the system layer that interprets demand, allocates resources, and continuously adjusts the product.
This shift has implications beyond efficiency.
A system that can interpret intent, coordinate execution, and learn from outcomes begins to set the terms of competition. The advantage no longer lies in having more assets, but in having a better system for deciding how those assets are used.
In that sense, AI is not just infrastructure. It is governance.
An Industry at the Edge of Repricing
China's broader push to integrate AI into industrial and consumer systems provides the backdrop for this shift. Policy frameworks such as the State Council's "AI+" initiative are accelerating deployment, but the more consequential changes are happening at the level of business models.
Hospitality is one of the more exposed sectors.
As the marginal return on physical expansion declines, and as customer expectations become more fluid, the industry is moving toward a repricing of what constitutes value. Scale, once the primary moat, is becoming easier to replicate and harder to defend.
What replaces it is still being defined.
Delonix's approach offers one possible direction: treating demand as a continuously generated input, and building systems capable of capturing and compounding it. Whether this model proves durable remains to be seen. But its premise is clear.
The future of hospitality may depend less on how hotels are built, and more on how they think.
About Delonix Group
Delonix Group is a leading international hospitality and experiential consumption group in the Asia-Pacific region. Ranked 14th globally, the Group partnered with Marriott International to launch the world's first dual-branded luxury property: MajesTang Hotel • A Tribute Portfolio Hotel, while independently creating MaisonLee, a Tang-inspired premium business travel brand. As one of the first Chinese hotel groups to expand overseas, Delonix has established a presence in high-potential markets such as Japan and Indonesia, now spanning more than 200 cities worldwide. Its portfolio encompasses Swiss-Belhotel, Artotel, Model J, hotel MONday, and other brands, positioning the Group at the forefront of building a new generation global platform for high-end hospitality and culturally immersive travel.
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
When Demand Becomes the System: Delonix and the Rewriting of Hospitality's Operating Logic
