Summary:

1. Eventual, a San Francisco-based company specializing in AI infrastructure for multimodal data, secured $20M in Series A funding.
2. The funding round was led by Felicis, M12 Ventures, and Citi, with previous support from CRV, Y Combinator, Essence VC, and Array Ventures.
3. Eventual plans to use the funds to expand operations and enhance its data warehouse capabilities for traditional data engineering and modern ML/AI workloads.

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   Rewritten Article:

   Eventual Secures $20M in Series A Funding for AI Infrastructure Development
   

   In a recent development, Eventual, a San Francisco-based company, has successfully raised $20 million in Series A funding. The investment was led by Felicis, alongside contributions from M12 Ventures and Citi. This funding round builds upon the initial Seed funding led by Brittany Walker from CRV, with additional support from existing investors such as Y Combinator, Essence VC, and Array Ventures.

   Eventual, under the leadership of CEO Sammy Sidhu, is focused on building AI infrastructure tailored for multimodal data processing. The company aims to address the challenges associated with traditional data engineering and analytics, while also catering to modern ML/AI workloads. One of Eventual’s standout features is its data warehouse engine, which enables seamless querying of petabytes of images and videos in a manner similar to working with SQL tables.

   With a total funding of $30 million, Eventual intends to utilize these resources to expand its operations and further enhance its development efforts. The open-source engine Daft, developed by Eventual, is already being utilized by leading companies such as Amazon, CloudKitchens, Essential AI, and Together AI to process vast amounts of multimodal data on a daily basis.

   Stay tuned for more updates on Eventual’s innovative advancements in the AI infrastructure space.

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   This rewritten article maintains the key points and details from the original blog post while presenting the information in a unique and engaging manner suitable for a WordPress autoblog.