Artificial Intelligence in Pharmaceutical

Predictive analytics is crucial for determining the likelihood of a drug’s success or failure in the market, identifying potential reasons, and forecasting the spread of certain diseases. This enables proactive care by anticipating which patients are more susceptible, allowing for preventive measures and improved patient outcomes.

Main Solutions

Predictive and Prescriptive Maintenance

It allows not only to set prices practically in real time, but also to set possible discounts and define the company’s portfolio.

Resource allocation

It allows us to make the best decisions, almost in real time, to allocate resources in hospitals, industries, hotels, services, energy, … and which is the best option to make the necessary adjustments.

Predictive Analytics (R&D, patients)

Allows for improved efficiency and better decision making.

Defect Detection

Improves quality, reduces time, avoids errors by automating repetitive tasks.

Anomaly Detection

Allows early decisions to be taken in the event of possible incidents.

Quality Control

It allows us to improve quality, reduce time and avoid errors by automating repetitive tasks.