
Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI. Eventual is the developer behind Daft, an open-sourced query engine that runs on 800k CPU cores daily. Which is more compute than Frontier, the world's largest supercomputer! Today's data tooling (Spark, Presto, Snowflake) was built for a world of tabular data analytics, but does not generalize to the needs of modern ML/AI such as multimodal data, heterogenous compute and user-defined Python algorithms. Eventual and Daft bridge that gap, making ML/AI workloads easy to run alongside traditional tabular workloads. Eventual was founded in 2022 and is based in San Francisco, California.

Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI. Eventual is the developer behind Daft, an open-sourced query engine that runs on 800k CPU cores daily. Which is more compute than Frontier, the world's largest supercomputer! Today's data tooling (Spark, Presto, Snowflake) was built for a world of tabular data analytics, but does not generalize to the needs of modern ML/AI such as multimodal data, heterogenous compute and user-defined Python algorithms. Eventual and Daft bridge that gap, making ML/AI workloads easy to run alongside traditional tabular workloads. Eventual was founded in 2022 and is based in San Francisco, California.
Founded: 2022
Headquarters: San Francisco, California
Product focus: Multimodal data platform and Python-native SDK (ev) built on open-source Daft
Customers: Includes Amazon, CloudKitchens, Together AI
Funding: $27.5M–$30M across seed and Series A
Large-scale multimodal data processing for ML/AI (ETL, analytics, model training workflows).
2022
Data infrastructure / ML infrastructure
$7,500,000
$20,000,000
Participants include M12 and Citi
“Series A led by Felicis with participation from M12 (Microsoft's fund) and Citi; seed led by CRV; early backers include Y Combinator, Essence VC, and Array Ventures”