Customer profiles & Use cases

Pharmaceutical portfolio de-risking

Competitive
analysis

Technical due diligence for Mergers and Acquisitions, licensing and partnerships

BD&L executives
at pharma companies

Research on general red flags

Post-mortem analysis on failed project for possible revival

AI-augmented trial design — endpoints, sites, eligibility

Clinical researchers
& developers

Investment portfolio de-risking

Search for the assets to invest in

Buy-side analysts
at pharma-focused funds

inClinico for therapeutic pipeline due diligence

Proprietary ML algorithms for information
extraction & data harmonization

Comprehensively harmonized and curated public data

Advanced NLP system with a feedback loop from
industry experts

Large preclinical data feed from CROs

Advanced AI modelling platform powered by multimodal data

Probabilities of success based on different modalities
Granular interpretation of the predictions
Industry-wide success rate analysis

Individual clinical trial reports

Clinical trials prioritized by probabilities of success

Report covers clinical trial sponsors with details on their financials

Leverage derived probabilities and estimate NPV more precisely to inform licensing and investment decisions

Summary report with benchmarked pharmaceutical catalysts

inClinico for the clinical trial design enhancement

Trial structure — blinding, randomization and cohorts

Patient eligibility criteria

Endpoints

Clinical site information

inClinico extracts meaningful
representations from clinical trial protocol

Which details were the most important
for the model prediction

Exact quantified influence of the each
feature as well as feature groups

Get interactive report on the clinical protocol details impact

Simulate alternative designs and get detailed reports

Choose the best design aligned with the expert knowledge and data-driven recommendations

Get actionable insights into how to change the clinical protocol to improve the probability of success