Company Performance Metrics
Sammy Sidhu: CEO, CofounderPast Role: DeepScale, Chief Architect- Jay Chia: Co-Founder
Eventual is tackling one of the hardest infrastructure problems in AI: making multimodal data (images, video, audio) as easy to process as SQL tables. While every company races to build AI applications, they're stuck forcing tools designed for bank transactions to handle petabytes of video and images. Our platform eliminates months of
infrastructure work, letting developers query massive multimodal datasets with simple Python scripts that automatically scale. Built on our open-source Daft engine, we deliver 10x performance improvements and handle all the messy realities of production AI workloads—from out-of-memory errors to flaky API calls. We're already processing petabytes daily at companies like Amazon, Together AI, and CloudKitchens, powering everything from autonomous vehicles to foundation model training
