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How a data-processing problem at Lyft became the basis for Eventual
Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.
When Eventual founders Sammy Sidhu and Jay Chia were working as software engineers at Lyft’s autonomous vehicle program, they witnessed a brewing data infrastructure problem — and one that would only become larger with the rise of AI. While the original idea behind building Daft stemmed from the autonomous vehicle space, there are numerous other industries that process multimodal data, including robotics, retail tech, and healthcare. Astasia Myers, a general partner at Felicis, told TechCrunch that she found Eventual through a market mapping exercise that involved looking for data infrastructure that would be able to support the growing number of multimodal AI models.
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