R and D
Use Cases
Accelerate Drug Discovery with AI Protein Structure Prediction
Accelerate drug discovery by automating research stages and data integration and analysis
Researchers are taking advantage of computational power to analyse vast amounts of data on drugs and their interactions. Enhancing the drug research process by advancing data mining, integration and analysis as well as testing can result in quicker drug and cure discovery for known diseases.
Accelerate product discovery based on modelling of components
Accelerate product discovery based on modelling of components - potentially millions of input options can be modelled to ascertain the most promising.
Analyse biomarkers such as genes for medical potential
Analyse relevant biomarkers to evaluate potential medical applications and outcomes. Identify which genes potentially cause which disorders to simplify diagnosis of patients and provide insights into the functional characteristics of the genetic mutation.
Analyse clinical outcomes to adapt clinical trial design
Analysis of clinical outcomes to adapt clinical trial design
Analyse social media data to evaluate architectural or planning impact of new developments
Analyse social, traffic data to measure potential impact of new building developments. Modeled outcomes might indicate hazards (e.g. fire evacuation risks) or design features for consideration (e.g. siting of facilities etc)
Automate generation of articles or other written work like press releases
Automate generation of articles - for example using national data sets and then producing local variant articles from this. The same can be done for press releases.
Better understand product usage
Uncover product usage insights to support product development process to improve products. May also be used to support customer service outlets and model use cases for new propositions.
Build AI Clinical Trial Protocol Intelligence to Reduce Amendments
Build AI Fashion Design Assistance and Trend Forecasting
Build AI Infrastructure for Autonomous Vehicle and Mobility Development
Build AI Platform for 6,000+ Investment Bankers Cutting Hallucinations 10x
Build AI Public Health Surveillance for Earlier Outbreak Detection
Build AI Research Accelerator for Scientific Institutions
Build AI Research Assistant with Source-Verified Scientific Citations
Build AI for Dynamic In-Game Content and Player Personalisation
Build AI for Geospatial Intelligence at Country Scale
Build AI for Personalised Cancer Treatment Planning
Build AI for Real Estate Valuation and Market Analytics
Build AI for Real-Time Sports Performance Analytics for Athletes
Build Cloud AI Infrastructure for Autonomous Systems Development
Collate and evaluate site data for architectural planning
Capture, collate and visualise multiple sources of data to build projected site layouts for architectural purposes. Data sources will include geo-relevant public data sources, private data sets and potentially sensor data.
Collate and visualise connected data
Data visualisation typically supports better analytics and decision making - collating and standardising data from potentially multiple sources. AI will enable faster and scalable data visualisation with the potential to respond to real time issues. This will be a set of tools increasingly embedded in other applications and use cases.
Collate data and evaluate potential architectural site remotely
Collate data from multiple sources (public, private and potentially real time sensor includng aerial or even satellite imagery) to build a clear visualisation of potential building site. Can be used to assess potential risks, visualise opportunities and project planning issues.
Create new products
Determine whether there are new product opportunities by rethinking data and tools.