Synthetic Data To Mitigate Dataset Bias

Generate custom synthetic data that mirrors real-world patterns and mitigate your dataset biases.

Synthetic data refers to artificially generated data that mimics the statistical properties and characteristics of real-world data.

Synthetic data do not contain any personally identifiable information (PII) or sensitive information.

It is created using algorithms and models to simulate patterns, distributions, and relationships found in actual datasets.

Our Solution

Our approach involves generating synthetic data that mirrors real-world patterns while eliminating inherent biases.

Our Synthetic Data consultants

Greg Elliot

A seasoned professional with over 35 years of experience spanning both the private and public sectors. Currently serving as a Lecturer & Senior Researcher in Data Science at the HZ University of Applied Sciences in Middelburg, The Netherlands, John's primary focus lies in Ethical AI by Design. His extensive background encompasses diverse industries, with particular expertise in financial services, telecoms, and IT sectors.

Greg Elliot

Senior Ethical AI Strategist

Xavi Diego, Ph.D

Scientist in the field of Computational Biology, with a background in theoretical physics and numerical methods. The results of his research have been published in top journals across Mathematical Biology, Physics and Robotics. He joins Neuromantics thanks to his expertise in combining theory, machine-learning, and computer simulations applied to scientific research.

Xavi Diego, Ph.D

AI & Science Consultant

Contact us to harness the power of synthetic data to enhance your data ethics, promoting fairness and integrity in your AI-driven solutions.

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