PREDICTBY RESEARCH AND CONSULTING S.L.

Their core work

PredictBy is a Barcelona-based SME specializing in predictive analytics and behavioral modeling for healthcare applications. They build data-driven tools that help patients stick to treatments, enable early detection of health and social risks, and apply explainable AI to clinical decision-making. Their work sits at the intersection of health informatics and social computing, translating complex patient data into actionable insights for healthcare providers and public health systems.

What they specialise in

How they've shifted over time

PredictBy entered H2020 in 2019 with a focus on early detection of health risks and smart living interventions for vulnerable populations. By 2021, their work shifted decisively toward explainable AI, behavioral science frameworks, and pandemic-era digital tools. The trajectory shows a company moving from applied health monitoring toward deeper predictive and behavioral analytics — building the intelligence layer rather than just the detection layer.

PredictBy is moving toward AI-driven behavioral prediction in healthcare, making them a strong fit for future projects requiring explainable models that influence patient outcomes.

How they like to work

PredictBy operates exclusively as a participant, never coordinating, which suggests they contribute specialized analytical capabilities rather than managing large consortia. With 140 unique partners across 26 countries in just 5 projects, they work in large-scale consortia (averaging 28 partners per project). This pattern indicates they are sought after as a technical specialist who plugs into big collaborative efforts rather than leading them.

Despite only 5 projects, PredictBy has built a remarkably wide network of 140 partners across 26 countries, reflecting their participation in large EU-wide health consortia. Their reach is truly pan-European with no obvious geographic clustering beyond their Spanish base.

What sets them apart

PredictBy combines predictive analytics with deep understanding of patient behavior — a rare pairing among health-tech SMEs. While many companies do health data analytics or build patient apps, PredictBy focuses specifically on WHY patients do or don't follow treatments, using explainable AI to make those predictions transparent and trustworthy. For consortium builders, they fill the gap between clinical data science and human behavioral science that is often missing in health innovation projects.

Highlights from their portfolio

• BEAMER
  Largest funding (EUR 588K) and most ambitious scope — building a comprehensive behavioral adherence model to improve health outcomes and cost-effectiveness across healthcare systems.
• KATY
  Focused on explainable AI for clinical knowledge, representing PredictBy's push into transparent machine learning — a high-demand capability as EU regulations require AI explainability in healthcare.