AI API
This API provides a pathway to seek prediction from Clarivate models by passing feature values through API call. The models and data are always current and always available.
This API provides a pathway to seek prediction from Clarivate models by passing feature values through API call. The models and data are always current and always available.
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Description
Clarivate AI API provides a pathway to seek prediction from Clarivate models by passing feature values through API call. The models and data are always current and always available.
Supported datasets
1. Cortellis Deals Predictive Analytics Predict deal value and clinical success with statistical model. Cortellis Deals Intelligence™ 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. A proprietary, predictive analytics algorithm draws on more than 20 traits from across the entire body of Cortellis data for a statistical model that calculates success after licensing and target valuation for each asset type for an individual drug class.
This approach includes multivariate analysis and statistical modeling of more than 20 qualitative traits to describe a successful deal outcome, including milestone events, deal transaction type, deal therapy and indication, related drug phase, related technology category, drug molecule type, seller/buyer type, companies and more. Each trait is identified and weighted for its ability to predict success and deal value, which is then used to build a statistical model that calculates success after licensing and target valuation for each asset type. The statistical model refines predictions as new data becomes available, providing a reliable and realistic target deal value in real-time.
Our model uses the total number of historic deals to account for the highly dynamic and continuously evolving deal values over time. Instead of relying on a fixed template for all drug classes, the model accounts for currency fluctuations, clinical trial outcomes, market sizing, disease landscape, companies’ deal experience and more. Additionally, the forecast prediction is unique to each therapy indication, company, phase, and transaction type, and automatically adjusts for variations impacting total deal value. Values can be used to explore the target deal value, negotiate the optimal deal structure and explore attributes that contribute towards a lucrative deal.
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