IvyCheck offers an API designed for classifying both user- and AI-generated texts, along with extracting sensitive data. Our specialized machine learning models ensure the safety and quality of your AI app in real time.
Tammo is co-founder of Ivycheck. As Applied Science Manager at Amazon, he led a team of Scientists and Engineers, developing algorithms to improve the product search experience. Prior to that, Tammo worked as Applied Scientists focusing on ML for data quality. There, he experienced first-hand the importance of data observability for ML based products. Tammo has a research background in Medical Physics and holds a PhD in Statistical Machine Learning from the University of Oxford.
Dustin is co-founder of IvyCheck. Dustin has 8.5 years of industry experience at Amazon as Machine Learning Scientist and Applied Science Manager. He founded a team that built tools for data quality measurement and cleaning, including Deequ (2.4k+ stars on GitHub). Dustin later owned data products powering the Amazon product search page, used by millions of users every day. Dustin holds a PhD in database systems from Hasso Plattner Institute, Potsdam, Germany.
TL;DR: IvyCheck offers an API designed for classifying user- and AI-generated texts, along with extracting sensitive data. Our specialized machine-learning models ensure the safety and quality of your AI app in real-time.
AI-powered interfaces such as chatbots emerge and pose new AI risks:
IvyCheck provides a library of checks for managing AI risks in your application. IvyCheck is:
We’re Tammo (left) and Dustin (right). We met at Amazon, where we were part of the Core Machine Learning team in Berlin. We worked on systems for large-scale data quality checks, missing value imputation, and search filter optimization. We’re both obsessed with delighting our customers and solving their toughest challenges! Let’s create a safer world with AI.
Visit https://ivycheck.com or book a call directly with us. We’d love to get in touch and help you make your AI app safe today!