PRESTO (PREdictive Safety TOol)

As a risk predictive tool PRESTO is the first of its kind

While a number of existing risk tools can help understand the risks and provide STATIC risk assessment based on past occurrences and the typical likelihood/consequence matrix, PRESTO is able to DYNAMICALLY understand risk and, where possible, PREDICT possible events based on a series of attributes which influence the level of risk; then PRESCRIBE what to do (in analytics language from predictive to prescriptive).

PRESTO manages individual workers’ Occupational Health and Safety risks through machine learning algorithms that consider past events – past incidents, training received by the worker, years in the position, etc -, and current attributes (eg weather conditions, physical state of the worker – using wearables – social media interactions – eg what the worker did last night -, implicit risks of an operation, etc).

As a result of this, PRESTO will calculate a numeric risk index. When a certain value threshold is reached, PRESTO will send alerts and recommend actions to prevent incidents when the risk level is deemed too high.


How to make sense of your safety and sustainability data sets? Using our 100+ years’ combined expertise and applying artificial intelligence and machine learning techniques we will provide useful insights for your safety and sustainability management and support your performance improvement.


We are partnering with primary rating agencies to provide “alternative” ESG scores based on the 17 UN Sustainable Development Goals ( We support sustainable finance providers to select their investment and help companies improving their score to attract capital for growth.