Predict optimal drug deal value and success rates using statistical modeling with machine learning

Effective deal-making with the right partners is crucial for overall success in growing your company and getting your products to market. However, many companies struggle to identify the optimal time to enter or withdraw from a partnership. Early-stage partnering, without sufficient data or due diligence, can quickly result in an incorrect deal evaluation. If you take too long to evaluate a deal, you may miss out on a good opportunity.

Cortellis Deals IntelligenceTM applies data science techniques, including a combination of automated machine learning and human intelligence, to 20 years of historic deals intelligence to help you accurately predict deal valuation and probability of success for partnered assets.

Download our paper to understand how you can assess and position against the competition using Cortellis.