Synthetic data to ground AI models

Is your AI model failing in real contexts?​

It is not a failure of your models but of the scarce data available to train them. We build physics-based synthetic data to ground your AI model.

How can we help you?​

Industrial data is scarce or nonexistent. AI models trained on GenAI-generated data hallucinate and could even collapse. We build the data you need for the exact problem you are facing.

Projects​

We created synthetic data to improve predictions from AI models in different ongoing projects.​

Agrotech

Robotics

Biotech

Our Partners​

We collaborate with different research and industry leaders.​

Correct and most promising solution!”​

This innovation is a critical unmet need, not only for our network of textile manufacturers but also for the robotics integrators and automation partners, who are actively developing the next generation of automated sewing and handling cells.

CITEVE

Meet Our Team​​

A team of physicists dedicated to preventing AI implosion from a lack of reliable data.​

Zita Esteves, PhD

CEO (Physics, Management, and Dissemination)

Cristóvão Dias, PhD

CTO (Physics and Data Science)

Helder Esteves, MSc

PhD Student (Physics and Data Science)

Afonso Gorjão, MSc

Data Scientist (Physics and Data Science)

Tomás Almeida, Bsc

Master Student (Physics and Data Science)

Would you like to improve your AI model with us?​

The use of physics-based synthetic data for AI model training can make your AI model more than 95% reliable