Cybernano

Risk Assessment for Health Innovations

Undertaking the marketing of innovative products is a risky process. Many failures are the result of companies' inability to deal with uncertainties and bear their consequences. These uncertainties can be technological, political, market, reputational, organizational and resources. A key question is how to identify, assess and reduce these risks as early as possible.

To anticipate technological risks, CYBERNANO has developed easyQBD, a SaaS platform facilitating the implementation of Quality by Design: a good development practice that minimizes development delays, optimizes manufacturing quality and accelerates regulatory approval. Our mission is to support you in the development of your innovative technologies thanks to an earlier and more precise assessment of technological risks.

Our Mission: Contract Research Organization in Biostatistics for Risk Assessment and Quality Optimization
Our Expertise: Quality-by-Design, Design of Experiments, Data Analysis, Data-driven Modeling, Control Strategy
Our Application Fields: Nanomedicine, Drug Development, Medical Devices, Bioproduction, In Vitro Diagnostic

Quality by Design Platform

To better control the development timeline of your innovative product ...

Biostatistics

Service in Design of Experiments
Service in Data Analysis

Soft & SaaS

Tailor-made development of soft &SaaS platforms

They trust us ...

Céline Barraud

SANOFI PASTEUR

Plateforme upstream du département

Bioprocess Recherche et Developement

" Thanks to depth attentiveness and comprehension of client’s needs, Cybernano is a reliable partner that delivers on time and complete outcomes. Highly competent in biological data modeling and analyses, the team shares their knowledge with pedagogy. "

ABOUT US

Our primary motivation is to contribute to the development of innovative solutions to treat cancers and viral infections. Our expertise in Quality-by-Design allows you to better assess and control risks throughout the development phase.

CYBERnano’s staff is involved several Research programs in which we are developing innovative statistical methods for the design of experiments, data analysis and data-driven modeling to solve problems of detection, prediction, classification and optimization. Our computational solutions are used in risk assessment studies, preclinical analysis, process optimization, quality control and control strategy.

We look forward to meeting you and working closely with you to solve your challenges.