Eventual, founded by Sammy Sidhu and Jay Chia, emerged from the challenges faced in processing unstructured data at Lyft's autonomous vehicle program. With engineers overwhelmed by data infrastructure tasks, they created a solution to unify various data types in one engine, resulting in the development of Daft. This Python-native, open source engine aims to be as transformative as SQL for tabular data, significantly improving efficiency for AI applications. Launched in early 2022, Eventual is now preparing to introduce an enterprise version of Daft, responding to a growing need for streamlined data processing.
We had all these brilliant PhDs, brilliant folks across the industry, working on autonomous vehicles but they're spending like 80% of their time working on infrastructure rather than building their core application.
The goal is to make Daft as transformational to unstructured data infrastructure as SQL was to tabular datasets in the past.
The explosion of ChatGPT, what we saw is just a lot of other folks who are then building AI applications with different types of modalities.
Sidhu and Chia helped build an internal multimodal data processing tool for Lyft.
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