How can CROs stay competitive, scale and maintain or improve quality at the same time? CROs need to reduce the time spent on client projects while delivering on quality.
We remove these obstacles for you and help your organization focus on what matters.
Scale client projects by enabling reproducibility, total track and trace auditing, interactive reports and global collaboration to accelerate development timelines.
Easily create data pipelines that ensure consistency, efficiency and reproducibility to eradicate errors and drive reproducible discoveries
CROs can be confident in the quality and completeness of their clinical data. Follows ALCOA+ framework, all data is Attributable, Legible, Contemporaneous, Original and Accurate.
Sonrai enables real-time digital access to information at any stage of development to minimize risk, improve collaboration and trial efficiency.
Detect issues proactively,including inclusion/exclusion criteria violations, protocol violations, and other compliance or performance red flags.
Protects your organization against the pitfalls that CROs can fall into like data quality, errors and repeat work.
Enable reproducible science via next-gen dataset management, analysis, and reporting.
Set up secure private reports or projects for each client, with absolute control over what users can see or do.
Conveniently store your data in the Cloud, with intuitive role-based-access-controls and permissions.
Collaborate with automated project management tools, reports, and two-way communication channels
Share data analysis reports with your teams and sponsors, save reproducible outputs and pipelines to repeat experiments reliably or to present findings
Our state-of-the-art platform de-risks Clinical Research Organisations (CROs) by reducing trial complexity, costly errors, streamlining your workflows, automating time-consuming processes, and improving collaboration across pre/clinical operations, data management and reporting.
Accelerated Timeline
Real-Time Collaboration
Staff Turnover Impact
Reproducibility
Low Barrier to Entry
Audit Ready
See Your Data on the Platform
We can arrange quick hands-on demo's to walk you through what can be achieved with your data and product pipelinesWe provide security for CROs to scale their operations and improve quality simultaneously. This translates to an increase in the number of projects they can manage and ultimately increase revenue. We enable CROs to give access to real-time data and analytics, along with a fit-for-purpose Data Portal and Trusted Research Environment.
A preclinical Contract Research Organisation (CRO) wanted to better manage the scale and complexity of client data.
Challenge
Axis wanted to increase efficiencies by automating time-consuming data tasks whilst also enhancing accuracy. They did not have the in-house expertise and technology to develop their own solution.
How We Helped
We created customised apps to reduce laborious tasks, accelerate data entry and, through a visual ‘traffic light’ system, instantly validate data and identify anomalies. Axis can now generate complex data visualisations for clients and share them as interactive reports at the touch of a button.
How We Helped
Saved the client months by streamlining the data cleaning and visualisation process
A German-based biotech needed to manage and analyse their molecular data from phase 1 and phase 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
How We Helped
Identified biomarkers associated with the biology of underlying drug response
A UK University-based Biotech Start Up wanted to optimize 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, and helped load further datasets
How We Helped
They trained hundreds of ML models saving $1000s in salary costs and months in time to validation
