San Francisco-based startup Advex AI has officially launched its synthetic data solution, aiming to address the data scarcity problem in AI training. The company has already secured $3.6 million in funding and landed seven major enterprise clients, despite being in stealth mode until now.

Advex AI's innovative approach uses generative AI to create thousands of "fake" images from a small sample of real images, allowing customers to train their computer vision systems more efficiently. This solution has far-reaching implications for industries such as manufacturing, where collecting diverse and extensive training data can be a significant challenge.

CEO Pedro Pachuca, a former machine learning researcher at Berkeley and Google Brain, credits his background and networking efforts for the startup's early success. Advex AI's proprietary diffusion model is the secret sauce behind its synthetic data generation, which sets it apart from other simulation and modeling techniques.

With its formal launch at TechCrunch Disrupt 2024, Advex AI is poised to make a significant impact in the AI and computer vision space. As the company expands its customer base and continues to develop its technology, it's clear that synthetic data is the future of AI training.