The intersection of artificial intelligence, robotics, and materials science has taken a significant step forward in Singapore. At the Singapore Week of Innovation and Technology (SWITCH) 2026, XtalPi Holdings Limited (HKEX: 2228) announced a strategic collaboration with the Materials Accelerator for Research, Venture & Enterprise Launchpad (MARVEL-AI). This initiative, led by Singapore's Agency for Science, Technology and Research (A*STAR), represents a concerted effort to bridge the gap between laboratory-scale materials discovery and large-scale industrial deployment.
Supported by a coalition of Singaporean government bodies—including the Ministry of Energy, Trade and Industry, Enterprise Singapore, the Economic Development Board, and the National Research Foundation—MARVEL-AI is positioned to transform how advanced materials are developed and commercialized. XtalPi, an AI- and robotics-driven drug and materials discovery company founded in 2015 by three physicists from the Massachusetts Institute of Technology (MIT), will bring its proprietary technological engine to the partnership.
The MARVEL-AI Mission: From Discovery to Industrial Scale
Historically, the transition of a novel material from initial computational discovery to actual manufacturing has been a slow and fragmented process. MARVEL-AI, anchored by the ASTAR Institute of Materials Research and Engineering (ASTAR IMRE), seeks to address this bottleneck directly. The initiative focuses on resolving lifecycle challenges across several critical classes of materials:
- Metal alloys
- Polymers
- Ceramics
- Composites
By streamlining the foundation that translates basic discovery into manufacturing process development, MARVEL-AI aims to serve high-value industries. The primary sectors targeted by this initiative include:
- Semiconductors
- Energy
- Advanced chemicals
Through this framework, researchers and industrial partners can evaluate whether promising materials can be validated, manufactured, and applied in real-world settings, reducing the time and risk associated with commercial translation.
Integrating Agentic AI and Robotics
XtalPi's contribution to MARVEL-AI centers on its ability to combine computational design with physical automation. The company's technological approach integrates:
- Computational predictions
- Agentic AI workflows
- Robotic experimentation
- Systematic experimental feedback
This integration establishes an intelligent feedback loop. By coupling computational hypotheses with automated physical experiments, researchers can incorporate practical development and manufacturing requirements much earlier in the discovery phase. This ensures that subsequent design iterations are guided by physical, experimental evidence rather than theoretical models alone.
A History of Collaboration in Singapore
The agreement signed at SWITCH 2026 represents an expansion of XtalPi's existing footprint in Singapore's scientific ecosystem. The company has maintained a collaborative relationship with ASTAR since 2022, when it partnered with the Experimental Drug Development Centre (EDDC). The EDDC, Singapore's national drug discovery platform hosted by ASTAR, has worked with XtalPi to advance targeted oncology therapies and automated synthesis.
The new partnership under MARVEL-AI broadens this engagement beyond therapeutics into the advanced materials sector. To support this expanded scope, the collaboration will encompass several key operational areas:
- Customized laboratory automation systems
- Joint research facilities
- Computational and experimental materials discovery programs
- Strategic talent exchange initiatives
Leadership Perspectives on the Partnership
The leadership of both organizations emphasized the necessity of combining discovery with real-world validation. Professor Loh Xian Jun, Executive Director of MARVEL-AI and A*STAR IMRE, noted that while AI offers unprecedented opportunities for discovering new materials, the primary challenge remains proving their viability in practical applications. He stated that MARVEL-AI connects Singapore's established strengths in materials science with AI, automated experimentation, manufacturing, and industrial translation to bridge this gap.
Dr. Peiyu Zhang, Chief Scientific Officer at XtalPi, highlighted materials science as a critical frontier for AI-driven discovery. According to Dr. Zhang, progress in this field depends on coupling high-value hypotheses with systematic validation. By introducing scalable engineering and robotics into the research and development loop, the partnership aims to accelerate the development of next-generation materials for energy, sustainability, and advanced manufacturing.
Through this collaboration, XtalPi continues to establish Singapore as a central hub for its global innovation infrastructure, creating reusable and adaptable computational and experimental frameworks for the broader scientific community.

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