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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…

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…
What they do: Build Daft, a multimodal data engine and managed platform for processing petabytes of images, video, audio and text with a Python/SQL-like developer experience
Founded / HQ: Founded 2022; based in San Francisco, California
Founders / CEO: Sammy Sidhu (CEO, co-founder) and Jay Chia (co-founder)
Team size: About 30 employees
Funding: Reported total funding ≈ $30M; $20M Series A (June 2025) led by Felicis
Multimodal data processing and AI infrastructure for ML/AI applications
2022
AI infrastructure / data platform
20000000.00
Series A reported with participation from M12 and Citi
“CRV (seed); Felicis (Series A lead)”
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