Simomics Discover

Explore and utilise data and in-silico models to accelerate your decision making in a bespoke cloud based virtual laboratory

Discover the potential within our bespoke Virtual Laboratories to harness the power of your data and models.

Take inspiration from some of our case studies for bespoke virtual laboratories built with industry proven Simomics technology and expertise.

Case Study

AstraZeneca Virtual Fish Eco-toxicology Laboratory (VFETL)

Funded by Innovate UK and developed in partnership with AstraZeneca and the University of York, this virtual laboratory provides a platform to explore the eco-toxicological effects of legacy and new drugs. 

A suite of mathematical models have been integrated to reduce the need for unnecessary in vitro fish trials for new drugs and enable scientists to cost effectively prioritise legacy drugs for environmental impact assessments. Read more in the University of York press release here.

Following the success of our VEFTL Virtual Laboratory, Simomics will be developing the Digital Assessment System at the heart of the PREMIER platform to assess the potential impact of Active Pharmaceutical Ingredients (APIs) in the environment.

Features & Benefits

Data Analysis

Simomics Discover Virtual Laboratories provide sophisticated data analysis opportunities integrating data with computational or mathematical models

VFETL Virtual Lab Model Visualisation

Data Visualisation

Display data in a way that is meaningful to your users and stakeholders, bringing together and giving life to your data and models

VFETL EPV Risk Visualisation

Decision Support​

Virtual Labs support complex data based decision making based on embedded rules, with auto-generated argumentation diagrams to visualise and explain the path taken in a way that is transparent to users or auditors

VFETL Automated Decision Making Transparency


Virtual Labs provide transparent and auditable calculations, tracking data provenance to display where each data point originated from and how it was calculated all the way to it’s original input

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