
Abundant YC 지원서
Abundant은(는) Fall 2024 배치에서 B2B 회사로 Y Combinator를 거쳤습니다. 아래에는 회사의 사업 내용, 창립자, 그리고 실제 YC 양식에 맞춰 재구성한 YC 지원서가 있습니다.
- YC 배치
- Fall 2024
- 산업
- B2B
- 팀 규모
- 7
- 상태
- Active
- 출시됨
- 2024
창업자
Jesse HuFounder
Meji AbidoyeFounder
Ke HuangFounder
Abundant의 사업 내용
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.
Abundant의 YC 지원서, 재구성됨
Y Combinator 지원
Abundant, Fall 2024 기수. 공개 데이터를 기반으로 작성된 실제 지원 질문.
- 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.
전체 지원서에서 21개의 추가 답변
Founders, Progress, Idea, Equity, Curious, Batch Preference는 전체 버전에 있습니다. 무료 계정을 만들어 YC Insights에서 모든 YC 배치 옆에 열어보세요.
자주 묻는 질문
Abundant의 실제 YC 지원서인가요?
아닙니다. Y Combinator는 제출된 지원서를 비공개로 유지합니다. 이것은 재구성된 것입니다. 실제 YC 양식 질문에 Abundant의 공개 데이터(출시 노트, 창업자 배경, 제품 설명)를 기반으로 답변했습니다. Abundant과 같은 회사가 YC에 어떻게 자신을 소개하는지 보여주며, 그들이 제출한 텍스트는 아닙니다.
Abundant은(는) 어떤 YC 배치에 있었나요?
Abundant은(는) Y Combinator Fall 2024 배치에 참여했습니다.
Abundant은(는) 누가 설립했나요?
Abundant은(는) Jesse Hu, Meji Abidoye, Ke Huang(이)가 설립했습니다.
Abundant은(는) 무엇을 하나요?
Agent simulation and RL for researchers
전체 재구성된 지원서를 어떻게 읽나요?
무료 Round Funded 계정을 만드세요. Abundant의 전체 26개 질문 버전 지원서와 모든 YC 배치 지원서는 YC Insights에서 확인할 수 있습니다.