Eventual
Data Warehouse for ML/AI
Eventual is a data warehouse for ML/AI. We are building an integrated development experience for data scientists and engineers to build ML/AI applications which query and process multimodal data (images, video, audio and 3D scans). Daft (https://www.getdaft.io) is our open-sourced distributed data query engine. It has a Python Dataframe API and is built in Rust, providing both ease of use and performance for use-cases such as ML data engineering, training data ingestion and general data analytics. We are funded by investors such as Caffeinated Capital, Array.vc and top angels in the valley from Databricks, Meta and Lyft. Our team has deep expertise in high performance computing, big data technologies, cloud infrastructure and machine learning.
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Active Founders
Sammy Sidhu, Founder
Sammy Sidhu is co-founder and CEO of Eventual. Sammy's background is in High Performance Computing (HPC) and Deep Learning and has over a dozen patents/publications in the space. In the past, he has worked on high frequency trading on wall street, medical AI research at Berkeley and self-driving cars at both DeepScale (acquired by Tesla) and Lyft Level 5 (acquired by Toyota). Native to the Bay Area, Sammy graduated from UC Berkeley with a degree in Electrical Engineering and Computer Science.
Jay Chia, Founder
Jay is based in San Francisco and graduated from Cornell University where he did research in deep learning and computational biology. He has worked in ML Infrastructure across biotech (Freenome) and autonomous driving (Lyft L5), building large-scale data and computing platforms for diverse industries. Jay is originally from Singapore and spent 2 years as a tank commander in the military and then as the head of recruiting at a unicorn Singapore startup.
