Eventual is a San Francisco-based company founded in 2022, developing open-source technology for processing multimodal data. Its core product, Daft, is a purpose-built query engine designed to handle images, video, audio, and text data with a simplicity comparable to SQL for tabular data. The company has secured $30 million in funding to support its work in AI infrastructure and distributed systems.
The company operates at scale, processing petabytes of data daily through its technology. Its technical focus spans multimodal data processing, query engine design, and distributed systems - areas critical to organisations working with large volumes of unstructured data. Industry verticals served include autonomous vehicles, AI/ML infrastructure, and cloud kitchens, with customers such as Mobileye.
Eventual's stated mission is to simplify AI engineering by freeing practitioners from the need to become distributed systems experts. The Daft query engine is open-source, reflecting the company's focus on accessible, community-driven development of multimodal data tooling.
