<ul><li>Advex AI is using synthetic data to circumvent the data problem faced by many AI manufacturers.</li><li>The startup generates thousands of 'fake' images using small samples provided.</li><li>Advex has already secured several clients, including seven enterprise customers.</li><li>It has raised $3.6M in funding with Pearl VC, Construct Capital, and Emerson Collective as its major investors.</li><li>The co-founders have backgrounds in machine learning research roles at DeepMind, Berkeley and Google Brain.</li><li>The startup also employs a proprietary diffusion model to create highly realistic synthetic data.</li><li>The diffusion model is capable of generating images in just seconds.</li><li>Advex counts car manufacturers and logistics companies as its target customers.</li><li>Other VC-backed companies are working on similar projects, including Synthesis AI and Parallel Domain.</li><li>Synthetic data is not a new concept, but there is increased demand for appropriate AI training data.</li></ul>

How Advex creates synthetic data to improve machine vision for manufacturers

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