SHENZHEN, China, Aug. 27, 2025 /PRNewswire/ --
Key Highlights from the Financial Report:
-- Revenue surged 404% year over year to RMB 517 million in the first half
of 2025.
-- Adjusted net profit reached RMB 141 million, marking the company's
first-ever half-year profitability.
-- XtalPi was added to the MSCI China Small Cap Index, underscoring strong
recognition of its investment value by the international capital markets.
-- Significant breakthroughs and milestones were achieved across multiple
business lines.
Drug Discovery Solutions: The Deep Integration of Advanced AI and Robotics Driving New Growth for Our Business
During the reporting period, revenue from our Drug Discovery Solutions business soared by 615.2% year-over-year, from RMB 60.85 million in H1 2024 to RMB 435.2 million. This growth was driven primarily by substantial upfront payments from major collaborations and multiple pipelines hitting key milestones.
1) Landmark Collaboration with Professor Gregory Verdine
In late June, we signed a strategic collaboration with renowned biopharmaceutical scientist Professor Gregory Verdine. The agreement provides for an initial payment of US$51 million for the first phase, with an additional US$49 million in potential payments, and variable payments of up to US$ 5.89 billion subject to reaching regulatory and commercial milestones, along with potential royalties based on a single-digit percentage of the annual net sales of the products. This collaboration represents a key achievement in our global strategy and further validates the industry-leading capabilities of our AI+robotics drug discovery platform.
2) Multiple Pipelines Achieve Breakthrough Milestones
-- Chronic Disease Collaboration Ahead of Schedule: All three of our
projects in collaboration with a leading biopharmaceutical company have
successfully reached key milestones. Notably, a chronic disease program
launched in 2024 achieved its PCC milestone a full quarter earlier than
planned, highlighting the power of XtalPi's fully integrated
AI-computational-experimental platform in accelerating drug discovery.
-- PRMT5 Inhibitor PE-0260 Advanced to IND: In close collaboration with
PharmaEngine, we successfully developed the first-in-class PRMT5
inhibitor PE-0260. PharmaEngine has now completed IND application and
initiated clinical trials.
-- Prix Galien Award Nomination: The world's first targeted therapy for
diffuse gastric cancer, co-developed with incubated company Signet
Therapeutics, was nominated for the prestigious Prix Galien Award for
Best Biotechnology Product, often hailed as the "Nobel Prize of the
pharmaceutical industry". This was the only Asian pipeline nominated this
year and only the fourth Chinese company to be nominated in the award's
50+ year history.
-- Antibody Business Growth: Thanks to high-quality deliveries of previously
placed orders, in the first half of 2025, we recorded antibody business
revenue nearly double that of full-year 2024. In this area, we now have
partnerships ongoing with several globally renowned pharmaceutical
companies, with our role evolving from a service provider to
platform-based co-developer, significantly increasing customer lifetime
value.
-- Breakthroughs at XtalPi-incubated Leman Biotech: (1) Leman's
metabolically enhanced CD19 CAR-T therapy successfully treated multiple
systemic lupus erythematosus $(SLE)$ patients, while its solid tumor CAR-T
program advanced rapidly toward investigator-initiated trial
(IIT) readiness. (2) Leveraging AI-driven optimization and
high-throughput experiments, we improved the binding affinity and immune
activity of its core metabolic enhancers, enabling the project to advance
into IIT preparation in the first half of 2025.
3) Enhancing AI Capabilities to Create a Drug Discovery Superintelligence
-- We have developed over 200 AI models spanning molecular generation, free
energy perturbation $(FEP)$, property prediction, and crystal structure
prediction. In the first half of 2025, building on our earlier strategic
partnership with Pfizer, we continued to iterate and optimize these
models while deepening our collaboration to co-develop a next-generation,
AI-driven molecular simulation platform. Additionally, we are actively
expanding the platform's capabilities across diverse applications,
including small molecules, peptides, and antibodies, to comprehensively
empower Pfizer's drug discovery efforts.
-- We launched a new Ultra mode for our AI antibody development platform
XtalFold$(R)$, improving antigen-antibody complex prediction accuracy by
approximately 10 percentage points. In July, our self-developed AI
antibody drug structure modeling platform XtalFold(R) was honored one of
the "Top 10 AI Innovations (Technologies/Products)" at the World
Artificial Intelligence Conference (WAIC).
-- We initiated the development of a Molecular Glue platform built around a
Design -- Make -- Test -- Analyze (DMTA) closed-loop framework in new
drug development. Our core Molecular Glue team is now in place and has
established initial collaboration with key opinion leaders from both
industry and academia. Meanwhile, the team is conducting in-depth
discussions with multiple pharmaceutical companies on specific targets
and screening strategies. Initial feedback has been positive, and
partnership intentions are steadily progressing.
-- We launched PepiX$(TM)$, a global-leading peptide and protein R&D platform
that integrates generative AI molecular design, automated synthesis,
trillion-scale peptide libraries, and high-throughput screening. Early
results include:
-- In AI-driven cancer vaccine development, candidate molecules
designed by the platform have demonstrated strong immunogenicity
in preclinical animal models and are poised to enter clinical
trials
-- Two independently developed oral peptide health products for blood
sugar regulation and fat reduction have completed efficacy and
toxicology evaluations and are now entering the regulatory
approval process.
-- A successful first-in-class renal cancer target development
project with National Cancer Centre Singapore (NCCS) is
progressing to downstream efficacy validation.
We have also built a library of over 2,000 non-natural amino acid monomers, fully parameterized for computational modeling, enhancing molecular design and exploration.
-- At the AAAI (Association for the Advancement of Artificial Intelligence)
2025, we presented our breakthrough research mRNA2vec, an AI-driven
technology that optimizes mRNA sequence design, enhancing expression
levels and stability while addressing the high costs and lengthy
timelines of traditional screening methods, establishing a new paradigm
for intelligent mRNA designs.
Intelligent Robotics Solutions: AI and Robotics Driving a Transformation in Chemistry
Revenue from our Intelligent Robotics Solutions business grew 95.9% year-over-year to RMB 81.9 million in the first half of 2025, fueled by the rapid growth from our automated chemical synthesis services and our XtalPi R&D solutions.
1) AI + Robotics Reshape the R&D Paradigm, Building Vertical Artificial Superintelligence
We have built a unique flywheel system integrating high-throughput experiments, high-quality data, and advanced AI models. Our robotics lab operates 24/7, generating vast volumes of high-quality data to power vertical AI models. This paradigm is transforming traditional R&D approaches, accelerating breakthroughs in both drug and material development.
Our AI models and robotic laboratory have been widely applied across the field of chemistry, significantly expanding the accessible chemical space, overcoming critical bottlenecks in drug and new material molecule development, and effectively accelerating delivery timelines. During the reporting period, we also made significant progress in several key technologies:
-- The Future of Chemistry: Innovation Breakthroughs Powered by Models and
Data
-- In the chemical reaction stage, leveraging extensive experimental
data from our robotics lab and knowledge graphs obtained via
the LLM-powered literature search tool PatSight, we have
successfully developed AI models for synthetic feasibility
prediction and reaction condition recommendation covering common
reaction types.
-- In practical applications, these models have boosted the success
rate of predicting chemical reaction success rates to over 85%.
-- In the separation and purification phase, we developed reaction
condition recommendation and yield prediction models tailored for
condition screening, which have been successfully applied in
multiple client projects. In two of these projects, yields
exceeded 50%.
-- Additionally, we have completed the acquisition of
Liverpool ChiroChem (LCC), a company with deep expertise in chiral
chemistry, strengthening our capabilities in chemical space
exploration. LCC boasts a world-leading library of chiral
molecules and a high-quality database, offering significant
advantages in molecular quality and diversity and providing strong
data support for AI-driven exploration of the chiral chemical
space.
-- Breakthrough in Embodied Intelligence: "NeoDispenser" Solves Key
Challenges in Robotic Laboratories
In the first half of 2025, we achieved significant breakthroughs in robotic laboratories, notably advancing embodied intelligence technology. We successfully developed a new generation of modular robotic systems that integrate advanced visual perception, AI, and robotic technologies to tackle some of the most challenging problems in chemical research.
For example, our next-generation modular robot features our patented "NeoDispenser," a flexible gripper that successfully mimics human hand operations with exceptional dexterity, earning recognition from top global clients. This design addresses three major industry challenges: (1) precise handling of trace powders; (2) overcoming traditional solutions' poor adaptability to different powders; (3) eliminating intermediate containers to reduce costly material waste.
-- Multi-Agent Systems Driving a Revolution in Chemistry: From Massive
Chemical Space Exploration to Fully Autonomous Decision-Making
In the first half of 2025, we successfully built a cost-effective, high-performance data platform capable of predicting synthetic feasibility across hundreds of billions of chemical compounds.
-- LLM-powered drug R&D data extraction -- PatSight Patent Mining Platform
Accelerates Structure Analysis
Our PatSight patent mining platform, jointly developed and iterated with the IDEA Research Institute, has achieved breakthrough progress powered by LLMs and deep neural network technologies. The platform can efficiently extract core data from literature and patents, such as molecular structures, activities, pharmacological effects, and reactions, with an accuracy rate of up to 97%, significantly enhancing the efficiency of structure analysis and data acquisition. PatSight overcomes the inefficiencies of traditional manual processing, providing high-quality public big data support for AI4S models in specialized domains. In the first half of 2025, the platform secured multiple procurement and collaboration agreements with domestic and multinational pharmaceutical companies.
-- By consistently upgrading the materials research platform and exploring
applications across multiple material domains, we have continued to
expand our technological applications across new chemical materials,
including adhesives, coatings, electrolytes, catalysts, and advanced
carbon materials. We have also secured orders from several leading
companies in the materials sector, with overall project progress
advancing smoothly.
2) XtalPi R&D Solutions Achieve Global Commercial Breakthroughs
As our technological capabilities continue to grow, our XtalPi R&D solutions have gained strong customer recognition and are rapidly expanding into international markets. During the reporting period:
-- We signed a multi-million US Dollar agreement with South Korea-based JW
Pharmaceutical, one of Asia's leading pharmaceutical companies. Under the
deal, XtalPi will deliver a comprehensive solution that includes a
high-throughput automated synthesis workstation, an AI-driven reaction
condition optimization system, and an intelligent analysis platform.
Featuring Bayesian optimization algorithms, digital experiment management,
and advanced automated lab technologies, this integrated solution will
significantly boost synthesis success rates and repeatability while
shortening drug development cycles. The collaboration will provide JW
with a robust technological foundation to accelerate breakthrough
pipeline development in oncology, metabolic diseases, and other key areas,
fast-tracking more globally competitive drug candidates into clinical
trials.
-- We signed a multi-million US Dollar cooperation agreement with Liangzhu
Laboratory. Under this partnership, XtalPi and Liangzhu will collaborate
on setting up a robotics-powered biomaterials laboratory, with XtalPi
providing a smart robotics platform spanning their entire workflow from
synthesis to testing.
-- We entered into a key partnership with Roche, under which XtalPi will
integrate robotics, transport and barcode scanning modules, stacker
cranes, and automated pallet and tube handling systems to enable
automated sorting, high-throughput storage, and precise retrieval of
molecular building blocks.
PROSPECTS AND OUTLOOK
We believe the future of scientific discovery lies in the seamless fusion of artificial intelligence, embodied intelligence, and human insight. We are boldly tackling challenges to unlock new frontiers, transforming technological barriers into breakthroughs and visionary ideas into impactful solutions. By building superintelligent systems for life and materials sciences, we seek to reshape the future of human civilization through a pioneering new research paradigm.
About XtalPi
XtalPi Holdings Limited (XtalPi, 2228.HK) was founded in 2015 by three physicists from the Massachusetts Institute of Technology $(MIT)$. It is an innovative R&D platform powered by quantum physics, artificial intelligence, and robotics. By integrating first-principles calculations, AI algorithms, high-performance cloud computing, and standardized automation systems, XtalPi provides digital and intelligent R&D solutions for companies in the pharmaceutical, materials science, agricultural technology, energy, new chemicals, and cosmetics industries.
Investor Relations Contact:
In China:
XtalPi Holdings Limited
Investor Relations
Email: ir@xtalpi.com
Piacente Financial Communications
Tel: +86-10-6508-0677
Email: XtalPi@thepiacentegroup.com
In the United States:
Piacente Financial Communications
Brandi Piacente
Tel: +1-212-481-2050
Email: XtalPi@thepiacentegroup.com
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SOURCE XtalPi Inc.
(END) Dow Jones Newswires
August 27, 2025 10:23 ET (14:23 GMT)