Predict patient behaviors. Deliver better therapies.

Reduce drop-out. Boost study power.

Make confident, informed clinical development decisions.

Cognivia makes patient behavior and drug responses more predictable—and your decisions clearer—with real time dashbords analytics powered by cutting-edge data modeling and patient insights.

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Cognivia signal™

Real-time behavioral risk intelligence for clinical trials 

Cognivia Signal helps clinical teams reduce and mitigate two critical behavioral risks :

  • Participant drop-out,
  • Placebo response variability.

Powered by behavioral data and machine learning, the platform delivers real-time dashboards that support early detection of drop-out risk, real-time monitoring of placebo response drivers for patient behavior-informed trial decisions.

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Placebell©™

Covariate adjustment to reduce placebo bias in clinical trials.

Placebell is Cognivia’s covariate adjustment approach designed to account for behavioral and contextual factors influencing placebo response.

By integrating behavioral data into statistical models, Placebell helps reduce placebo-related variability—supporting cleaner efficacy signals, improved data interpretation, and more reliable trial outcomes.

PLACEBELL©

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Additional equivalent patients due to increased precision in a trial of 85 patients with Type 1 diabetes

COGNIVIA SIGNAL™

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of Dropped-out patients were identified as high risk in Type 1 Diabetes

PLACEBELL©

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Increased Precision and 30% decreased variability in Osteoarthritis Study

Have confidence in your therapy

Clear efficacy demonstration means more confident strategic compound decisions—but behavioral variability complicates decision-making at every level, from study conduct to data analysis.

Drop-out, treatment non-adherence and placebo response introduce noise and risk affecting statistical analysis. Monitor behavioral risks in real time, adjust for placebo-related variability statistically, and strengthen trial outcomes with deeper insight into patient behavior.

What pharma & biotech clients are saying

Publications

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Leveraging historical data for covariate adjustment in the analysis of randomized clinical trials

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Predicting Patient Drop-Out in Clinical Trials: A First Step Toward Personalized Engagement Strategies

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Cognivia team members contribute critical elements to a recent paper published in Innovations in Clinical Neuroscience

Bridging Innovation and Experience in Clinical Development.

We've experienced firsthand the frustrations that come from losing a promising drug candidate to the inability to prove efficacy in clinical trials.

Because we're not just tech people, we have deep roots in clinical development.

Understand patient differences in your next clinical trial

Increase your trial’s success rates and bring new therapies to patients faster.

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