


Gathr is a next-gen, cloud-native, fully-managed, no-code data pipeline platform. It’s the only all-in-one platform for all your data integration and engineering needs – batch and streaming ingestion, CDC, ETL, ELT, data preparation, machine learning, and analytics. The Spark-based platform brings unmatched speed, performance, and flexibility required to handle all types of data and analytics approaches, in ways that traditional ETL tools cannot.
Iguazio brings data science to life, with a platform for enterprises to automate MLOps and cut the time to impact of AI projects. With the Iguazio MLOps Platform, data science teams can collaborate together in one place to develop AI models at scale and in real time, deploy them anywhere (multi-cloud, on-prem or edge), and manage them in production.
Snorkel AI started as a research project in the Stanford AI Lab in 2016, where they set out to explore a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying early versions of Snorkel Flow's core technology with some of the world’s leading organizations, to empowering scientists, doctors, and journalists, they’ve seen firsthand how this approach democratizes and accelerates AI. Now, they’re working to bring their technology to everyone.