Pharma

With the adoption of Artificial Intelligence (AI) you will accelerate and optimize from research to production, as well as distribution and commercialization.

Improve each phase along the value chain

Artificial Intelligence and Big Data (BD) are applied to accelerate drug discovery, save on research and development costs, reduce failure rates in clinical trials and finally create better drugs.

In the manufacturing phase, the main priority is to reduce costs while maintaining the highest quality. For this, predictive models are being developed that will allow the automated and highly accurate estimation of the quantity needed of each material to manufacture each order.

In the distribution and commercialization phase, the application of Big Data (BD) techniques is especially critical to improve customer knowledge and therefore, be more effective.

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Pharma

Accelerate research, reducing costs and maximizing commercialization

Marketing

Marketing

  • Patient analysis
  • Finding medical trends for commercial market research
  • Promotions response modeling
  • Optimization of production and distribution processes

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R&D

R&D

  • Patient search using global databases (for example: rare diseases)
  • Patient treatment routes for health outcomes
  • Risk-based monitoring in clinical trials
  • Doctor-patient matching
  • Clinical studies and R&D

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