01
Fragmented workflows
Critical decisions can be distributed across multiple steps, tools, and manual review points.
For next-generation fertility care
Intelligent Reproductive Technology
AxileLife is building AI-enabled reproductive technology solutions to support more standardized, data-informed, and actionable fertility care.
Focus
AI-enabled fertility solutions
Approach
Imaging + AI + workflow integration
Precision sperm selection for intelligent fertility care
AxileLife focuses on imaging-guided assessment and AI-enabled decision support for more informed sperm selection workflows.
Why it matters
Fertility care still faces major challenges
Assisted reproductive workflows are often fragmented, labor-intensive, and highly dependent on subjective assessment. AxileLife aims to support a more reproducible, data-informed, and implementation-ready future.
02
Subjective evaluation
Assessment quality may vary across operators, institutions, and workflow conditions.
03
Need for scalable support
Clinical teams need more standardized and data-informed support tools that fit real-world practice.
Why we care
Technology with patients and families in mind
Beyond technology development, AxileLife is motivated by the hope of supporting a better ART journey for patients and families. We aspire to contribute to more informed care, more consistent workflows, and a future that may help reduce physical, emotional, and financial burden across fertility care.
Support better-informed care
We aim to help fertility teams make more data-informed and actionable decisions.
Reduce burden where possible
Our long-term goal is to support care pathways that may reduce avoidable stress, uncertainty, and resource burden.
Bring hope to families
We believe reproductive technology should be built with empathy for the families and individuals it is meant to serve.
For patients and families
We hope to contribute to a future of more informed fertility care, more consistent support, and a reduced burden for patients and families.
Our direction
From assisted workflows toward intelligent reproductive technology
We are building toward a platform vision that supports assessment, selection, and workflow intelligence across future fertility-care applications.
A
Assessment support
Support data-rich interpretation and more consistent decision support.
B
Selection support
Enable more standardized workflows with imaging and AI-enhanced tools.
C
Integrated intelligence
Connect data, workflow, and analysis into a more actionable platform direction.
AxileLife product platform
A focused product visual representing our direction in imaging, AI-enabled analysis, and workflow integration.
Institutional foundation
Built on strong research and technology foundations
AxileLife is a spin-off company building on technology and research foundations associated with The University of Hong Kong and the Advanced Biomedical Instrumentation Centre.
Clinical collaboration
Working toward real-world fertility care implementation
AxileLife is collaborating with HKU-QMH CARE to support early clinical collaboration pathways, including work connected with Queen Mary Hospital and Kwong Wah Hospital.
HKU-QMH CARE
Clinical collaboration to support translation into assisted reproductive care settings.
Queen Mary Hospital sector
Early collaboration pathway connected with the ART clinic at Queen Mary Hospital.
Kwong Wah Hospital sector
Early collaboration pathway connected with the ART clinic at Kwong Wah Hospital.
Public-facing strengths
Built around technology, workflow, and collaboration
Our public-facing focus brings together imaging, AI-supported analysis, workflow-aware design, and collaboration-oriented development.
Imaging-informed approach
Exploring rich cellular information through advanced imaging and structured analysis.
AI-supported analysis
Developing AI-enabled workflows that support consistency and scalability.
Workflow-aware product thinking
Designing with clinical usability and implementation realities in mind.
Collaboration-oriented
Welcoming engagement with research, clinical, and ecosystem partners.
Interested in collaboration or general inquiry?
We welcome outreach from clinical, research, and ecosystem partners.