Jay Chia
Co-Founder
Startup Contestant
Eventual
Startup Summary
Revolutionizing the way you work with data.
We’re building the infrastructure that makes multimodal data as simple to work with as SQL tables. Daft, our open-sourced distributed query engine already processes petabytes daily at companies like Amazon, CloudKitchens, and Together AI; we turn months of infrastructure work into days of application development.
Eventual is on a mission to build generational technology that makes data processing across all modalities simple, reliable, and performant regardless of scale. Eventual is for AI developers building multimodal applications that struggle with the complexity of processing images, video, audio, and text at scale. We provide Daft, our open-sourced distributed query engine that makes multimodal data as simple to work with as SQL tables to build powerful AI applications without becoming distributed systems experts. Unlike legacy tabular engines like Spark and Snowflake, we natively handle multimodal data’s inherent messiness and diversity with declarative queries that just work at petabyte scale, so that teams can focus on solving actual problems instead of rebuilding infrastructure.
About | Eventual
Eventual, founded by Sammy Sidhu and Jay Chia, was born from frustration while tackling some of the world’s hardest AI problems. The company’s mission is to eliminate the barriers that force AI engineers to become distributed systems experts just to make their solutions work at scale.
Sammy Sidhu, CEO & Co-Founder of Eventual, spent years building self-driving car systems, from Berkeley’s AI labs to DeepScale (acquired by Tesla Autopilot). Jay Chia, Co-Founder of Eventual, previously built ML data platforms at Freenome. The two met while working together at Lyft Level 5, where they saw the same challenge repeat itself: brilliant engineers solving complex AI problems were slowed down by infrastructure hurdles.