Overview

Eventual builds data infrastructure for AI teams working with unstructured and sensor data such as video, lidar, and perception logs. Its core products are Daft, an open-source data engine used in production at exabyte scale by organizations including Amazon, Mobileye, and Together AI for GPU-friendly processing, and MultiBase, a platform for physical AI teams that semantically indexes perception data and supports natural-language queries over fleet data using standard file formats. What sets Eventual apart is its focus on unstructured, sensor-heavy data rather than tabular data, feeding GPUs directly without custom ETL pipelines. The goal is to eliminate data as a bottleneck so AI teams can spend more time building models and less time on data workflows.