Workflows
01From Raw Data to Reliable Results. In Clicks, Not Code
Validated pipelines from raw sequencing data to reproducible insights. Automated for reliability, with Notebooks for deeper exploration.
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The Pan.bio Platform
One end-to-end, AI-powered platform for every step of genomic analysis, from raw sequencing data to clinical reports to cohort discovery.
Platform
One Platform.
Every Step of
Genomic Analysis.
Four products. One AI copilot. Built to remove the seams between sequencing, interpretation, and cohort work.
Notebooks
02Explore. Experiment. Standardize.
A plug-and-play notebook environment where bioMind translates your thoughts to code and helps turn one-off discoveries into reusable collaborative analyses. You are welcome to park bioMind, jump into the driver's seat, and write code yourself.
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VAIC
03Clinical Variant Interpretation & Classification
Guideline-aware clinical variant classification powered by ACMG/AMP, CanVIG, ACGS, and ClinGen. AI-assisted, human-controlled.
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Cohorts
04A Marketplace for Real-World Patient Data
Connecting hospitals and labs with pharma and biotech researchers. Unlock underrepresented populations while keeping data under provider ownership at every step.
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About Pan.bio
Built to translate the
language of life
Pan.bio exists to empower scientists to transform genomic data into scientific breakthroughs. We build the AI-powered, end-to-end platform that bridges the distance between raw sequences and world-changing insights, making genomic research faster, more accurate, and accessible to teams who've been left out of the global research conversation for too long.
Our focus on underrepresented populations isn't a marketing line, it's the reason we exist. From MENA breast cancer research to Pan-Arab diabetes cohorts, we're building the infrastructure that lets clinicians, researchers, and pharma teams generate the genomic insights their populations have been missing from for decades.
"We're not just building software, we're building equity in genomics."
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researchers trust Pan.bio to power their genomic discovery
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