Bringing down the cost of drug development
Site selection is the single most decisive step of a clinical trial. However, life science companies lack the tools to reliably screen sites & investigators at scale. As a consequence, in any given trial, 30% of sites do not recruit a single patient.
By accelerating clinical trials, Inato helps bring novel therapies to patients faster and at a more affordable price.
We analyze dozens of data sources to identify the best investigators among 1,200,000+ physicians, covering 200,000+ sites with experience in 900,000+ studies.
Our machine learning algorithms cross-check data sources and feed off user feedback to continuously improve reliability and traceability.
Our AI does the legwork to provide personalized insights allowing our client's staff to focus on tasks where they can leverage their expertise.
Inato's solution is built around 4 steps to enable data-informed and personalized decisions:learn more
Identifying potential sites
Exhaustive, highly personalized matching, actionable site & investigator profiles.
Gathering information on each site
Automatically personalized to each investigator, tracking completion behavior to measure reliability.
Analyzing recruitment capabilities
Detect weak signals, AI-generated preliminary analysis, enables the staff to leverage its expertise.
Modeling and optimizing recruitment
True data-driven optimization under real-world constraints, fine-tune deployment strategy.