
WonderTx YCアプリケーション
San Francisco
WonderTxはSummer 2026バッチでHealthcare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
- Summer 2026
- 業界
- HealthcareTherapeutics
- 所在地
- San Francisco
- チーム規模
- 3
- ステータス
- Active
- ローンチ済み
- 2026
創業者
Abraham HeifetsFounder/CEO
WonderTxの事業内容
We’re an AI-native biotech, working on replacing needles with pills. Many drugs, like insulin or Ozempic, are wonderful except you have to inject them. We discover new molecules that you can take as a pill instead. Because the pills operate on biology which has been shown to be effective in people, rather than merely in animal models of disease, we avoid what has historically been the single biggest risk in drug discovery. This should dramatically increase our probability of success. There’s $200B of treatable diseases and validated human biology without a pill because discovery programs lack a tractable chemical starting point. This is a zero-shot inference problem, because these targets have no training data, so LLMs and other historical interpolative AI approaches are insufficient. Instead, we are building our own extrapolative frontier models that reason beyond their training data. Most critically, we have repeatedly validated our platform on both our own and partner programs. On 4 biologically- and structurally-diverse targets where we had zero training data, we successfully picked binders that were validated experimentally, with confirmation ranging from primary screen hits to crystallographic structures.
WonderTxのYCアプリケーション、再構築済み
Y Combinator 申請
WonderTx 様、Summer 2026 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
WonderTx
AI discovers pills to replace injectable drugs
We are building an AI-native biotech platform for oral drug discovery. Our tech designs new molecules that let you take, for example, insulin or Ozempic as a pill instead of a shot. Our models are trained to reason on targets that have worked in real humans, not just in animal models, removing the main risk in drug discovery. Drug discovery teams use our molecules to pursue first-in-class oral drugs for validated biology where there was no tractable starting point before.
We are based in San Francisco, CA, USA, and work remotely. After YC, we will remain based in San Francisco and remote.
San Francisco has a deep biotech and AI ecosystem, which helps on both the research and fundraising side. Our work is computational and experimental, so we work distributed, but physically close to the Bay Area network.
よくある質問
WonderTx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、WonderTx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。WonderTx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。
WonderTxはどのYCバッチに参加しましたか?
WonderTxはY CombinatorのSummer 2026バッチに参加しました。
WonderTxは誰によって設立されましたか?
WonderTxはAbraham Heifetsによって設立されました。
WonderTxは何をしていますか?
Extrapolative AI to unlock First-in-Class drugs
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。 WonderTx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。