Eventual YC Application
Eventual went through Y Combinator in the Winter 2022 batch as a B2B company. Below: what the company does, who founded it, and its application to YC, reconstructed question by question in the real YC form.
- YC batch
- Winter 2022
- Industry
- B2BInfrastructure
- Team size
- 18
- Status
- Active
- Launched
- 2022
Founders
Sammy SidhuFounder
Jay ChiaFounder
What Eventual does
Every breakthrough AI application, from foundation models to autonomous vehicles, relies on processing massive volumes of images, video, and complex data. But today’s data platforms (like Databricks and Snowflake) are built on top of tools made for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. As a result, teams waste months on brittle infrastructure instead of conducting research and building their core product. Eventual was founded in 2022 to solve this. Our mission is to make querying any kind of data, images, video, audio, text, as intuitive as working with tables, and powerful enough to scale to production workloads. Our open-source engine, Daft, is purpose-built for real-world AI systems: coordinating with external APIs, managing GPU clusters, and handling failures that traditional engines can’t. Daft already powers critical workloads at companies like Amazon, Mobileye, Together AI, and CloudKitchens. We’ve assembled a world-class team from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and more, quadrupling our size within a year. With backing from Y Combinator, Caffeinated Capital, Array.vc, and top angels from the co-founders of Databricks and Perplexity, we’re looking to double the team now. Join us - Eventual is just getting started. Please note we are looking for someone who is willing and able to come into our San Francisco office in the Mission district 4 days / week.
Eventual's YC application, reconstructed
Y Combinator application
Eventual, Winter 2022 batch. The real form questions, answered from public data.
- Founders2
- Company7
- Progress7
- Idea4
- Equity3
- Curious2
- Batch Preference1
Company
Eventual
AI data engine for any modality and scale
We're building Daft, an open-source data engine designed for AI workloads that involve images, video, audio, and text at petabyte scale. Unlike traditional platforms built for table-like analytics, Daft handles complex multimodal data, coordinates GPU clusters, integrates external APIs, and manages failures common in real AI production systems. This lets AI teams run queries on their data as easily as on databases while supporting the scale and complexity foundation models and autonomous vehicles require.
We live in San Francisco and plan to base the company here after YC, working from an office in the Mission district.
Our customers and team are in SF, and given how technical the product is, having the team onsite four days a week enables faster iteration and better collaboration.
21 more answers in the full application
Founders, Progress, Idea, Equity, Curious, Batch Preference are in the full version. Create a free account to open it in YC Insights, next to every other YC batch.
Frequently Asked Questions
Is this the real Eventual YC application?
No. Y Combinator keeps submitted applications private. This is a reconstruction: the real YC form questions, answered from Eventual's public data (launch notes, founder backgrounds, product description). It shows how a company like Eventual would present itself to YC, not the text they submitted.
What YC batch was Eventual in?
Eventual was part of the Y Combinator Winter 2022 batch.
Who founded Eventual?
Eventual was founded by Sammy Sidhu, Jay Chia.
What does Eventual do?
Building the AI data engine for any modality and scale
How do I read the full reconstructed application?
Create a free Round Funded account. The full 26-answer version of Eventual's application, and every other YC batch, is in YC Insights.
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