Our Success Stories, One Happy Customer at a Time
Multiomic Biomarker Discovery
A Massachusetts based Biotech wanted to deliver patient-level reporting for a multi-omic ex vivo platform
Challenge
Managing and visualising multi-omic patient-level reports requires advanced bioinformatics capabilities
How we helped
We provided a data mesh architecture to develop and deliver a proprietary reporting tool for patient-level insight across multiple data modalities
Results
Saved the client months by streamlining the data cleaning and visualization process
Multiomics in Clinical Trials
A German-based biotech needed to manage and analyse their molecular data from phase 1 & 2 clinical trials
Challenge
To create a standardised framework for analysing molecular data from clinical trials
How we helped
We provided a data tool kit for performing AI and machine learning-based data discovery that helped them handle their clinical patient data
Results
Identified biomarkers associated with the biology of underlying drug response
Proteomic Data Use Case
A global biotech company wanted to harness proteomic data for the first time, and integrate it into their existing portfolio
Challenge
Proteomics file types are complex and require bioinformatics skills to analyse
How we helped
We developed and delivered a custom bioinformatics workflow for uploading transforming and aggregating this data for downstream exploration and analysis
Results
This company now have unprecedented ease of access to some of the richest and exciting data types for precision medicine
Methylation Use Case
A University-based Biotech Start Up wanted to optmise the biomarker selected for their ground breaking diagnostic platform
Challenge
Methylation data is high-dimensional and training machine learning models requires advanced capabilities
How we helped
We provided our cutting-edge suite of machine learning applications designed for easy use by lab scientists
Results
Using our ML pipeline the client trained 100s of machine learning models saving $1000s in salary costs and months in time to validation
