Unlock smart meter load profiles
Improve clinical trials and protect patient data
Transform official statistics
Unlock new research with synthetic data for universities.
Increase production stability & performance
Train, test and improve ML models
Collaborate between teams and organisations
bluegen.live mimics your real data and generates privacy-safe synthetic data
to accelerate your data-driven innovation
BlueGen’s platform applies AI to generate privacy-safe synthetic data that looks and behaves like the real data.

"bluegen.live enables EDF to develop innovative commercial offers and predictions using synthetic customer data, while ensuring privacy with a secure solution."

"Synthetic data is very important to improve privacy when working with registry data"

"bluegen.live enables EDF to develop innovative commercial offers and predictions using synthetic customer data, while ensuring privacy with a secure solution."

"Our strategic use of synthetic data has delivered remarkable success, showcasing its transformative potential in data innovation while ensuring privacy and transparency. This milestone not only strengthens our leadership in advanced analytics but also sets a pioneering model for future growth and scalability."

"bluegen.live’s synthetic data provides similar answers to statistical analyses on WOPI data"

"bluegen.live was the first party to successfully generate synthetic annual profiles based on smart meter data, that are of high quality and sufficient granularity, enabling follow-up analyses such as grid calculations, load and congestion forecasting etc. This is a very interesting result, particularly for grid operators and energy companies, as smart meter data is subject to privacy regulations and cannot be used without consent."

“Good synthetic data does not lead to different business answers. It makes no difference to use a synthetic or real dataset. Synthetic data offers new commercial opportunities and research possibilities”

"bluegen.live supports EnergySHR in its goals to accelerate data-driven innovation for the energy transition, both with the practical appliance of AI and the resulting usefulness of synthetic data"