Overview
Cognivia helps clinical trials manage data variability with predictive algorithms and patient insights. The company offers Cognivia Signal, an early-warning platform for detecting participant dropout risk and placebo response variability, and Placebell, a covariate adjustment approach to reduce placebo bias in clinical trials.
Key people
In the news
- Interesting aspect of Novo Nordisk's announcement today with Anthropic. Large pharmaceutical companies partnering with leading AI providers is becoming increasingly common. What caught our attention is where Novo is placing the emphasis. The announcement is not about a breakthrough model or a new algorithm. It focuses on scientific workflows, software development, governance, human oversight and responsible deployment. That resonates strongly with a discussion we have been having recently while contributing to a white paper with
- Patient safety doesn’t begin when something goes wrong. It begins when a healthcare journey becomes difficult to sustain. For people living with cancer, diabetes, cardiovascular disease, and other chronic conditions, care is rarely defined by a single moment. It unfolds over years, often across multiple healthcare settings, with physicians, nurses, caregivers, and patients working together to navigate an increasingly complex path. People living with noncommunicable diseases frequently require ongoing, long-term care, creating many
- Patient behavior has always influenced outcomes. What's changing is the growing recognition that it can be measured, understood, and acted upon more systematically. Across clinical research and clinical care, some of the most persistent challenges "patient retention, missed visits, treatment adherence, and engagement" are often treated as operational realities rather than measurable risk factors. But what if they could be identified earlier? As healthcare organizations become increasingly sophisticated in measuring biological,
- What if some of the most important aspects of chronic pain are the ones we cannot easily measure? Pain is deeply personal. Behind every symptom is a human experience shaped by daily routines, emotions, expectations, relationships, and countless individual circumstances that may never appear in a chart or clinical assessment. During Pain Awareness Month, it is worth reflecting on the importance of listening, not only to what can be observed, but also to what patients and caregivers share about living with pain. Behavioral science
- When a healthcare publication highlights your work, it's gratifying. When the conversation centers on a challenge the industry has struggled with for decades, it's even more meaningful. We're pleased to see The Healthcare Technology Report spotlight Cognivia and the growing role of behavioral intelligence in clinical research. The post touches on a question that continues to gain relevance across the industry: ⁉️ How can clinical teams better anticipate the human factors that influence retention, adherence, and
- Clinical trials are designed to measure biological outcomes. Yet some of the most influential drivers of variability may come from patient behavior rather than biology alone. Patient expectations, motivation, symptom perception, adherence, and engagement can all influence how trial results are experienced, reported, and interpreted. Historically, however, these factors have remained difficult to quantify and incorporate into traditional clinical trial methodologies. In a recent Q&A with Technology Networks, Cognivia CEO Dominique
- What if you could see dropout risk before it happens? Clinical trials face costly delays when patients disengage—but the signs are there from the begining if you know where to look. Cognivia Signal uses behavioral science to predict risk across participants and geographies, helping sponsors act proactively at every stage. Timing matters. So does behavioral insight.
- Clinical trial outcomes are often interpreted as if variability were a secondary problem when in reality, it shapes the result. Placebo response heterogeneity is not a detail in the data. It directly influences how treatment effect is measured, and in many cases, whether a signal can be confidently identified at all. Yet, most analyses still absorb this variability rather than account for it. At Cognivia, we take a different approach: behavioral variability is treated as a measurable and integrable component of clinical analysis.
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