Data is pretty much everything when it comes to training AI systems, but accessing enough data to produce quality products that live up to their promise is a major challenge, even for companies with the deepest of pockets.
This is a problem that Advex AI is setting out to address, using generative AI and synthetic data to “solve the data problem,” as the company puts it. More specifically, Advex allows customers to train their computer vision systems using a small sample of imagery, with Advex generating thousands of “fake” pictures from that sample.
Today signals Advex’s formal launch at TechCrunch Disrupt 2024 on the Startup Battlefield stage, though it has already secured a handful of customers through its stealth phase. This includes what it calls “seven major” enterprise clients, which it says it’s not at liberty to disclose. TechCrunch can also reveal that the San Francisco-based startup has raised $3.6 million in funding, the bulk of which came via a $3.1 million seed tranche last December, with notable backers including Construct Capital, Pear VC, and Laurene Powell Jobs’ Emerson Collective.
CEO Pedro Pachuca started Advex with his CTO co-founder Qasim Wani a little over a year ago, and the company has a headcount of six. That such a svelte startup has already made it into the industry with real paying customers is notable, with Pachuca putting at least some of this down to his background, as well as good old-fashioned networking and cold reach-outs. Indeed, Pachuca was previously a machine learning researcher at Berkeley, and later joined the research team at Google Brain before it merged into DeepMind.
Know More At: https://techcrunch.com/2024/10/28/how-advex-creates-synthetic-data-to-improve-machine-vision-for-manufacturers/