Eventual Closes $20M in Funding to Power Multimodal AI with Open-Source Data Engine Daft

Eventual, the data infrastructure startup tackling the growing complexity of unstructured data in AI, has raised a $20 million Series A round led by Felicis, with backing from Microsoft’s M12, Citi Ventures, and earlier investor CRV. This follows a $7.5 million seed round raised just eight months prior.

Founded by former Lyft engineers Sammy Sidhu and Jay Chia, Eventual builds Daft — an open-source, Python-native engine for processing multimodal data including text, images, audio, and video. Originally developed to support autonomous vehicles, Daft now supports customers like Amazon, CloudKitchens, and Together AI. The new funding will support commercial rollout and expand its AI-native infrastructure for enterprise use.

Featured image: Credit: Eventual

James Dargan

James Dargan is a writer and researcher at The AI Insider. His focus is on the AI startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

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