Abundant YC 申请
Abundant 在 Fall 2024 批次的 Y Combinator 中作为一家 B2B 公司进行过。以下是：公司做什么、谁创立了它，以及其 YC 申请，按照真实 YC 表格逐题重建。
- YC 批次
- Fall 2024
- 行业
- B2B
- 团队规模
- 7
- 状态
- Active
- 已发布
- 2024
创始人
Jesse HuFounder
Meji AbidoyeFounder
Ke HuangFounder
Abundant 做什么
Hello! 👋 We are a team of former ML engineers, founders, roboticists and ops leads who obsess about data and its impact on safe, reliable AI. We specialize in creating environments and datasets for RL by leveraging our experience in simulation and model training. By the numbers: • Powering 3 of the top 6 global AI labs and multiple Fortune 500 enterprises • Billions of training tokens generated each month, 2x month over month • Exclusive, global network of over 500 domain experts We believe humans are inherently creative, and thrive by pushing the frontier. We are working towards an abundant future--one where everyone has access to infinite intelligence, services and goods. Based in San Francisco, CA. We enjoy good food and good company. -- more info below -- Abundant is building the NVIDIA of training data. AI models rely on two fundamental ingredients: compute and data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue last year as the need for scaling compute has exploded. We believe the need to scale data is just beginning, as we move beyond SFT and human supervision to RL and Learning from Experience. Our founding team consists of second-time founders, ML engineers and data leads from Waymo, Google, Meta and AWS. Our team has previously collaborated with DeepMind to classify hate speech in YouTube videos, trained SOTA models for self-driving, and scaled data pipelines with thousands of human annotators. Our pioneering work in human computation, synthetic data, imitation learning and RL give us a solid advantage in delivering results to our customers. Why now? Training data is more important and more scarce than ever before. Scaling laws dictate that linear improvement in model performance demands an exponential increase in training data. But there is only one World Wide Web and most of it has already been trained on. The next advances will require new, diverse, and high-quality datasets, making training data more important and scarce than ever before. What happens if we succeed? Abundant will be the core enabler for AGI and beyond. Most of the challenges in model training are already solved. What’s missing is the data necessary to move from general knowledge to domain expertise; from chatbots to agents; and from digital intelligence to physical AI. Ask any AI researcher or roboticist: the core bottleneck to progress is the availability of data, i.e. “abundant data”. Abundant works with the most advanced AI labs and startups, as well as F500 enterprises.
Abundant 的 YC 申请，重建版
Y Combinator 申请
Abundant，Fall 2024 期。来自公开数据的真实申请问题解答。
- Founders2
- Company7
- Progress7
- Idea4
- Equity3
- Curious2
- Batch Preference1
Company
Abundant
Agent simulation and RL for researchers
We build environments and datasets specifically for reinforcement learning researchers and AI labs. Our product generates billions of training tokens monthly by simulating agents and creating synthetic data tailored to complex AI training needs. Researchers use our platform to overcome the bottleneck of scarce, high-quality training data in RL and imitation learning.
We live and work in San Francisco, CA, and the company will remain based here after YC.
San Francisco is where our team is located and where most of our advanced AI research partners are based. It's important to be close to leading AI labs, researchers, and enterprise customers we work with.
21 更多回答 在完整申请中
Founders, Progress, Idea, Equity, Curious, Batch Preference 包含在完整版中。创建免费账户即可在 YC Insights 中打开，紧邻每个其他 YC 批次。
常见问题解答
这是 Abundant 的真实 YC 申请吗？
不是。Y Combinator 对提交的申请保密。这是重建版：使用 Abundant 的公开数据（发布笔记、创始人背景、产品描述）回答真实的 YC 表格问题。它展示了像 Abundant 这样的公司会如何向 YC 自我介绍，而不是他们提交的文本。
Abundant 是哪个 YC 批次的？
Abundant 是 Y Combinator Fall 2024 批次的成员。
谁创立了 Abundant？
Abundant 由 Jesse Hu, Meji Abidoye, Ke Huang 创立。
Abundant 做什么？
Agent simulation and RL for researchers
如何阅读完整的重建申请？
创建免费的 Round Funded 账户。YC Insights 中包含 Abundant 的完整 26 个问题的版本，以及其他所有 YC 批次的公司信息。
更多 YC 初创公司，例如 Abundant
