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Screenshot of the original Checkfor.ai website.
NOTE: We've changed our name to Pangram Labs! See our blog post for more details.
Today, we are launching Checkfor.ai, a tool to detect AI-generated content with a simple copy and paste.
Our mission is to protect the digital world from low-quality AI-generated content that threatens authentic human voices. Our product allows content publishers, review platforms, educators, and creators to verify that their content was written by a real human being.
Why do we believe we can solve this challenging problem? We are a small team of experienced machine learning researchers and engineers who simply know how to bring working models into production environments. Our team has shipped real-world machine learning products at Google, Tesla Autopilot, and Nuro. We are obsessed with reliability and trust, and will not just stop when our test set accuracy hits 99%. Our goal is not just to be the best-in-class detector, but to be reliable enough for high stakes, real-world deployments that demand low false positive and false negative rates.
We’ve only been working on this problem for about a month, but have already made great progress. While our detector isn’t perfect, we believe it is already better than competitor detectors by a good margin, especially on creative writing and user-published online content. We’re looking forward to improving the performance of the tool and sharing some exciting results in the coming weeks.
Give it a shot at Checkfor.ai!
Max is a seasoned machine learning engineer. He most recently worked on autonomous vehicles at Nuro, leading their active learning effort. He has a long history of deploying successful machine learning products at Google, Two Sigma, and Yelp.
Max holds a B.S. in theoretical computer science and an M.S. in artificial intelligence from Stanford University. In addition to his passion for building, he is also an active member of the Magic: the Gathering cube community.
Bradley is an AI researcher and expert in building deep learning products in industry. He recently led the deep learning research group at Absci, a generative AI drug discovery company, and previously was a member of the core computer vision team at Tesla Autopilot.
While a graduate student, Bradley authored multiple publications in deep learning research with the Stanford Vision Lab. He holds a B.S. in physics and an M.S. in artificial intelligence from Stanford. Aside from AI, he is also excited about education, philosophy, and is an avid golfer.
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Employee Spotlight: Meet Elyas, Pangram's Founding Engineer!
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