
Eventual YCアプリケーション
EventualはWinter 2022バッチでB2B企業としてY Combinatorを卒業しました。以下:会社の事業内容、創業者、そして実際のYCフォームで質問ごとに再構築されたYCへの応募内容。
- YCバッチ
- Winter 2022
- 業界
- B2BInfrastructure
- チーム規模
- 18
- ステータス
- Active
- ローンチ済み
- 2022
創業者
Sammy SidhuFounder
Jay ChiaFounder
Eventualの事業内容
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のYCアプリケーション、再構築済み
Y Combinator 申請
Eventual 様、Winter 2022 バッチ。公開データから回答された、実際のフォームの質問。
- 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.
よくある質問
Eventualの実際のYCアプリケーションですか?
いいえ。Y Combinatorは提出されたアプリケーションを非公開にしています。これは再構築されたものです。実際のYCフォームの質問に、Eventualの公開データ(ローンチノート、創業者経歴、製品説明)から回答しています。Eventualのような会社がYCにどのようにアピールするかを示しており、彼らが提出したテキストではありません。
EventualはどのYCバッチに参加しましたか?
EventualはY CombinatorのWinter 2022バッチに参加しました。
Eventualは誰によって設立されましたか?
EventualはSammy Sidhu, Jay Chiaによって設立されました。
Eventualは何をしていますか?
Building the AI data engine for any modality and scale
完全な再構築されたアプリケーションはどのように読めばよいですか?
無料のRound Fundedアカウントを作成してください。 Eventualの26つの回答からなる完全なアプリケーションと、他のすべてのYCバッチはYC Insightsにあります。