Laying the data foundationfor more trustworthy science
A team of methodology, data and engineering backgrounds, serving research with engineered process.
Gezhi Labs started from a simple belief: researchers shouldn't burn time arguing whether the data can be trusted. We engineer the testing, validation and collaboration workflow so every conclusion leaves a trail.
We don't aim to be the biggest — we aim to be the steadiest: stable environments, stable methods, stable delivery. You bring the imagination; we keep the data reliable.
“Take things apart, verify how they work — that is what "Gezhi" means, and what we do every day.”
Gezhi, in numbers
We don't aim to be the biggest — we aim to be the steadiest: stable environments, stable methods, stable delivery. You bring the imagination; we keep the data reliable.
Methodology × Data × Engineering
Reviewable First
Conclusions must be reproducible; raw records ship with every report.
Transparent Collaboration
Progress, incidents and deviations sync in real time — no waiting for the final report.
Clear Boundaries
Data ownership, confidentiality and IP are settled in writing before work starts.
Methodology × Data × Engineering
Team info is demo placeholder; avatars are letter marks, not real people.
Ming Tan
Molecular biology and analytical methodology background, 10+ years in applied research and validation across bio, environment and materials.
Man Chen
Runs the lab's systems, processes and compliance, focused on balancing speed with scientific accuracy.
Si Tan
Connects research teams with industry needs, driving cross-institution, measurable collaboration with clear strategy.
Li Jian
Delivers clinical validation, protocol design and submission-aligned research support for biopharma clients.
Yan Liu
Advises on materials innovation from lifecycle analysis to industrial application — bridging performance and scale-up.
Qiao Li
Ensures a smooth, predictable collaboration from first contact to final delivery.
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