Abundant YCアプリケーション

Fall 2024Active

AbundantはFall 2024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: Fall 2024
業界: B2B
チーム規模: 7
ステータス: Active
ローンチ済み: 2024

創業者

Jesse HuFounder
Meji AbidoyeFounder
Ke HuangFounder

Abundantの事業内容

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のYCアプリケーション、再構築済み

Y Combinator 申請

Abundant 様、Fall 2024 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

Company name

Abundant

Describe what your company does in 50 characters or less.

Agent simulation and RL for researchers

What is your company going to make? Please describe your product and what it does or will do.

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.

Where do you live now, and where would the company be based after YC?

We live and work in San Francisco, CA, and the company will remain based here after YC.

Explain your decision regarding location.

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.

フルアプリケーションで21件の追加回答

はフルバージョンにあります。無料アカウントを作成して、他のすべてのYCバッチの横にあるYCインサイトで開いてください。

申請内容全体を見る

よくある質問

Abundant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、Abundant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。Abundant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。