Roboflow Simplifies Computer Vision for Developers and the Enterprise - Ep. 248

Hello, and welcome to the NVIDIA AI podcast. I'm your host, Noah Kravitz. 90% of the information transmitted to human brains is visual. So while advances related to large language models and other language processing technology have pushed the frontier of AI forward in a hurry over the past few years, visual information is integral for AI to act with the physical world, which is where computer vision comes in. RoboFlow empowers developers of all skill sets and experience levels to build their own computer vision applications. The company's platform addresses the universal pain points developers face when building CV models, data management to deployment. RoboFlow is currently used by over 16,000 organizations and half the Fortune 100, totaling over 1,000,000 developers, and they're a member of NVIDIA's inception program for startups. RoboFlow cofounder and CEO Joseph Nelson is with us today to talk about his company's mission to transform industries by democratizing computer vision. So let's jump into it. Joseph, welcome, and thank you for joining the NVIDIA AI podcast. Thanks so much for having me. I'm excited to to talk CV. There's there's, nothing against language, love language. But, there's been a lot of language stuff lately, which is great. But I'm I'm excited to, to hear about RoboFlow. So let's jump into it. Maybe you can start by talking a little bit more about, your mission and what democratizing computer vision means and and making the world programmable. At the highest level, as you just described, the vast majority of information that humans process happens to be visual information. In fact, I mean, humans, we had our sense of sight before we even created language. It's how we understand the world. It's how we understand the things around us. How we engage with the world. And because of that, I think there's this massive untapped potential to have technology and systems have visual understanding to a similar way that humans do all across, really, we say we say the universe. So when we say our North Star is to make the world programmable, what we really mean is that, like, any scene and anything will have software that understands it. And when you have software that understands something, you can improve that system. You You can make it be more efficient. You can make it be more entertaining. You can make it be more engaging. I mean, at Revelflow, that's like we've seen folks build things from understanding cell populations under a microscope all the way to discovering new galaxies through a telescope. And everything in between is where vision and video and understanding comes into play. So if this AI revolution is to reach its full potential, it needs to make contact with the real world. And it turns out the real world is one that is very visually rich and needs to be understood. So we build the tools, the platform, and the community to accelerate that transition. So maybe you can tell us a …