In-silico Preclinical Trials

We support MedTech companies in transforming their preclinical strategy through in-silico trials, leveraging advanced biomechanical modeling and digital twin technologies to simulate device performance in realistic physiological conditions.

Our company specializes in biomechanics and finite element analysis, enabling predictive, reproducible, and scalable evaluation of medical devices—while reducing reliance on animal and early-stage human testing.

🔬 Our services include:

• Virtual cohort generation
  We develop patient-specific and population-based digital twins to simulate variability in anatomy, physiology, and pathological conditions.

• Device performance evaluation
  We assess the mechanical and functional behavior of devices under realistic conditions of use across a wide range of simulated scenarios.

• Scenario exploration & risk analysis
  We identify critical use cases, failure modes, and edge conditions that may be difficult or costly to capture through traditional preclinical studies.

• Complement or reduction of animal testing
  Our in-silico trials provide quantitative insights that can complement, refine, or partially replace in-vivo studies.

• Data generation for regulatory and scientific use
  We produce robust datasets and analyses to support regulatory submissions, clinical strategies, and scientific publications.

🎯 Key benefits:

• Accelerate preclinical development timelines

• Reduce costs associated with experimental studies

• Explore a wider range of physiological conditions and patient variability

• Strengthen scientific and regulatory evidence

• Support ethical approaches by reducing animal testing