Turn complex biomedical data into decision-ready evidence
Our scientists analyse your molecular, imaging, and clinical data inside our secure, governed research environment, and deliver the evidence your team needs to move therapies forward.
Start with the question
Most programmes begin with a specific scientific question
Choose the one closest to where your team is. Each opens a short walk-through of how our scientists approach it.
Which biomarker would you take into the next phase?
See how we approach it MechanismIs your drug acting through the mechanism you expect?
See how we approach itDecisions We Help
Teams Make
Precision medicine programs hinge on a small number of critical decisions. We help teams answer them. Delivered through reproducible workflows inside a governed research environment.
What mechanism explains treatment response?
Patient StratificationWhich biomarkers help predict response?
Target IdentificationWhich targets should you prioritise?
We connect datasets, run the analysis, and deliver clear evidence teams can act on.
We focus on the decisions that move therapies forward. We support translational teams across the development lifecycle, from pre-clinical research through all phases of clinical trials, using reproducible analytical workflows. All analyses are executed within Sonrai’s secure TRE, enabling consistent, reproducible outputs across programs.
Translational Analysis
Integrate molecular, imaging, and clinical data to explain how therapies work and identify the biomarkers linked to response.
- Discover and evaluate candidate predictive biomarkers
- Compare responder and non-responder cohorts
- Generate translational evidence for program decisions
- Analyse mechanism of action
- Support multimodal biomarker discovery
Target ID & Validation
Combine internal and external evidence to prioritise the targets most likely to move programmes forward with confidence.
- Bring together multi-omic evidence across datasets
- Assess biological rationale and disease relevance
- Compare candidate targets against strategic criteria
- Reduce manual evidence gathering and fragmentation
- Support faster, more defensible prioritisation
Patient Stratification
Identify the patients most likely to respond by connecting biomarker, clinical, and imaging evidence into a clearer selection strategy.
- Define responder populations using integrated evidence
- Compare cohorts across molecular and clinical features
- Support clinical trial enrichment strategies
- Strengthen biomarker-led patient selection
- Generate decision-ready outputs for programme teams
Why teams choose Sonrai
Many teams already have scientists, consultants, and software.
What they often lack is a way to turn complex biomedical data into evidence that can support programme decisions.
Internal teams
Deep expertise, fragmented workflows
Scientific expertise is often spread across modalities, teams, and tools. Bringing those insights together into a coherent programme view can be slow and resource-intensive.
Consultants
Valuable outputs, difficult to operationalise
External partners can answer specific questions. But translating those outputs into reproducible evidence that supports future programme decisions can be challenging.
Standalone platforms
Strong tools that do not interpret results in your programme context
Some platforms process data efficiently. But they do not interpret it in biological context, connect it across modalities, or tell you what the analysis means for your programme.
Sonrai combines scientific expertise, transparent analysis and a governed environment.
Sonrai acts as an extension of your team, combining scientific expertise, transparent and reproducible analysis, and a governed research environment to generate decision-ready evidence that can be revisited, reproduced, and built upon throughout the life of a programme.
For us, it's been like having an extension of our company, with that expertise that we could bring in.
Tell us your data.
We'll show you what's possible.
Select a modality to see how Sonrai can help - from validated pipelines and processing to decision-ready evidence for your programme.
Cases and Worked Examples
Client cases and worked examples, each labelled, showing how translational, target ID, and stratification teams use Sonrai to turn complex datasets into reproducible evidence.
Integrates imaging, omics, and clinical data from a Phase II oncology trial to study target engagement and treatment response.
Integrates genomic, proteomic, imaging, and clinical data to identify and evaluate candidate biomarkers.
Uses integrated multi-modal datasets to assess biological relevance and prioritise hypotheses in early discovery.
Analyses preclinical data to evaluate treatment efficacy and inform candidate progression decisions.
Combines histopathology imaging with omics data to link molecular signals to tissue-level features.
Uses advanced imaging analysis to find features linked to disease progression and outcomes.
See how analysis is delivered in a secure, reproducible environment
Our scientists use Sonrai Discovery to explore, integrate, and analyse complex datasets in a secure, reproducible environment.
How Teams Work With Sonrai
Most programs start with a specific scientific question. We work with teams to analyse datasets, generate translational evidence, and deliver decision-ready outputs that support program decisions.
Define the Question
Teams typically start with a challenge such as:
- Why are only some patients responding?
- Which biomarkers predict response?
- What evidence supports our mechanism hypothesis?
We review available datasets, understand the scientific context, and define the analytical approach needed to answer the question.
Run the Analysis
We integrate molecular, imaging, and clinical data and run analyses inside a secure, governed environment.
- All analyses are performed within a secure Trusted Research Environment (TRE)
- Datasets remain protected and governed
- Workflows are reproducible, traceable, and version-controlled
- Analyses can be reviewed and repeated with transparency
Deliver Decision Evidence
We deliver clear translational outputs teams can use to move programs forward. Typical outputs include:
- Biomarker evidence summaries
- Responder vs non-responder cohort analysis
- Mechanism of action insights
- Reproducible analytical workflows and reports
Want to see what this looks like in practice?
Walk through a real example from incoming dataset to programme decision, or get in touch to discuss how we would approach your specific question.
Helping teams solve complex biological questions
We partner with translational, clinical, and data teams to integrate complex datasets and deliver the evidence needed to move programs forward.
This (MOFA workflow) is a translational scientist's dream come true. I tested it out and so far all the features are working from my end, can't wait to explore the data further.
The Sonrai Analytics team were exceptionally helpful. Initially, we did not have a great amount of experience in big data analysis, and the Sonrai team helped to walk us through the platform options and training in a way that was simple to understand, yet professional.
Move your program forward with evidence
Speak to us about your needs. We're here to help you integrate your datasets and deliver the evidence your team needs to move forward.