Imagine What You Could Discover
Meet the world’s most powerful biomarker discovery platform that integrates and analyses multi-omics, towards early identification of novel disease biomarkers.




Your end-to-end data solution for Biomarker Discovery is streamlined to support your analysts and augmented by advanced AI & Machine Learning tools.
Biomarker Data Management
Upload and integrate your data sets with just a few clicks.
The Sonrai biomarker platform allows Users to drag and drop data files, input directly, or integrate multiple sources such as Google, Microsoft, Dropbox, and your existing servers and tools.






Automate best data management practices, with full transparency and control
Treat your data like code with automatically generated track & trace recording, data lineage and versions that allow you quickly roll back or experiment in a secure research environment.
Analyse your Data
Find what you're looking for with code-free purpose-built machine learning healthcare analytics
The Sonrai platform enables users of all backgrounds to quickly and easily build new data pipelines and workflows and to seamlessly run thousands of experiments across hundreds of use cases.

Case Studies
We aim for perfection for our clients. We listen to their goals, quickly grasp their challenges, consider the needs of all stakeholders and deliver. Below are just some of our client case studies to view.

Multiomic Biomarker Discovery
Deliver patient-level reporting for a multi-omic ex vivo platform.

Diagnostic Product Commercialization
Validation of biomarkers and diagnostic technology. AI and ML applications to refine gene signatures.

Multiomic Analysis in Phase I & II Clinical Trials
Standardised framework for analysing molecular data from clinical trials
What Does An AI Biomarker Workflow Look Like?
Need some advice?
Meet our expert Biomarker team

Example Biomarker Discovery Workflow Experience Use Case
Principle Components Analysis (PCA)
1. Use dimension reduction to visualize the variation in your molecular datasets and determine whether key biomarkers or variables are associated with this variance.




Volcano Plot
2. Generate feature lists associated with phenotypes such as responder vs non-responders using differential expression analysis
Heatmap
3. Visualise and cluster your gene signatures on heatmap and dendrogram to identify key patterns of expression









Boxplot for Biomarker Expression
4. Compare biomarker expression across different groups of patients and determine statistical significance
Next Steps
We've got our biomarkers, so what now? Train XGBoost Model Build Imaging Algorithm
Train ML Model
Train powerful regression and classification models using Xgboost for predicting whether a patient has disease or whether they will respond to therapy

Build Imaging Algorithm
Use Deep Learning Neural Networks to train research or clinical algorithms that can stratify patient risks or identify early warning signs


Share your Data
Export your finds with dynamic interactive reports, or invite colleagues or clients into your secure data portal
Sonrai's platform makes it easier than ever to share data insights and findings, and to communicate that with your whole team, organisation, or customers.





Project Management
Build, link and manage all your datasets, projects and experiments, with built-in collaborative tools, communication, and management controls.
Democratise your data with easy to use data dashboards, convenient tasks, notes and notifications, and a centralised means of collating findings and project progress.
Admin Management
Sonrai's self-service platform lets you easily manage all of your users, their permissions and access rights, and configure settings to your needs.
Sonrai does not limit User seats or types, and our customers can freely choose who and what their users can see and do.


Get in touch
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