Abundant YC-Bewerbung
Abundant durchlief Y Combinator im Fall 2024-Batch als ein B2B-Unternehmen. Unten: Was das Unternehmen tut, wer es gegründet hat und seine Bewerbung bei YC, Frage für Frage im echten YC-Formular rekonstruiert.
- YC-Batch
- Fall 2024
- Branche
- B2B
- Teamgröße
- 7
- Status
- Active
- Gestartet
- 2024
Gründer
Jesse HuFounder
Meji AbidoyeFounder
Ke HuangFounder
Was Abundant tut
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.
Abundants YC-Bewerbung, rekonstruiert
Y Combinator Bewerbung
Abundant, Fall 2024 Batch. Die echten Fragen des Antrags, beantwortet aus öffentlichen Daten.
- 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 weitere Antworten in der vollständigen Bewerbung
Founders, Progress, Idea, Equity, Curious, Batch Preference sind in der Vollversion. Erstelle ein kostenloses Konto, um es in YC Insights neben jedem anderen YC-Batch zu öffnen.
Häufig gestellte Fragen
Ist das die echte YC-Bewerbung von Abundant?
Nein. Y Combinator hält eingereichte Bewerbungen privat. Dies ist eine Rekonstruktion: die echten Fragen des YC-Formulars, beantwortet aus den öffentlichen Daten von Abundant (Veröffentlichungsnotizen, Gründerhintergründe, Produktbeschreibung). Sie zeigt, wie sich ein Unternehmen wie Abundant bei YC präsentieren würde, nicht den Text, den sie eingereicht haben.
In welchem YC-Batch war Abundant?
Abundant war Teil des Y Combinator Fall 2024-Batches.
Wer hat Abundant gegründet?
Abundant wurde von Jesse Hu, Meji Abidoye, Ke Huang gegründet.
Was macht Abundant?
Agent simulation and RL for researchers
Wie lese ich die vollständige, rekonstruierte Bewerbung?
Erstelle ein kostenloses Round Funded Konto. Die vollständige 26-Antwort-Version der Bewerbung von Abundant, und jede andere YC-Kohorte, findest du in YC Insights.
Weitere YC Startups wie Abundant
