Application YC di Decawork
San Francisco
Decawork ha partecipato a Y Combinator nel batch Summer 2026 come azienda B2B. Sotto: cosa fa l'azienda, chi l'ha fondata e la sua application a YC, ricostruita domanda per domanda nel form reale di YC.
- Batch YC
- Summer 2026
- Settore
- B2BInfrastructure
- Luogo
- San Francisco
- Dimensione team
- 2
- Stato
- Active
- Lanciata
- 2026
Founder
Aman RajFounder/CEO
Sarthak AggarwalFounder/CTO
Cosa fa Decawork
An agent’s access should depend on the task it is doing. The same action can be appropriate for one task and wrong for another. Access decisions need to adapt in real time as the agent works, but companies can’t turn every business judgment into a fixed rules or have people manually approve every step. We train small, company-specific models that approve AI actions in real time. They consider the company’s policies and interests, the agent’s current task, and its past actions to decide whether each proposed action should be allowed. Access is specific to the task at hand and reassessed as the agent works. Companies will rent intelligence from AI labs or run open-source models to power their agents. They’ll own the models that keep their entire AI workforce acting in their interests. Decawork is building those models.
Application YC di Decawork, ricostruita
Domanda per Y Combinator
Decawork, batch Summer 2026. Le vere domande del form, risposte da dati pubblici.
- Founders2
- Company7
- Progress7
- Idea4
- Equity3
- Curious2
- Batch Preference1
Company
Decawork
Company-specific AI models to approve agent actions.
We train small, company-specific AI models that decide in real time which AI agent actions to approve or deny. These models look at the company's policies, the agent's task, and its recent actions to grant or block access while the agent works. Instead of relying on fixed rules or asking people to manually OK every step, our product makes live company-specific judgments for every agent action. This lets companies keep control as they use more AI in their workflows.
San Francisco, CA. The company will remain based in San Francisco after YC.
We are in San Francisco because it's where our team is and it's the best place for building an AI infrastructure company.
21 risposte in più nell'application completa
Founders, Progress, Idea, Equity, Curious, Batch Preference sono nella versione completa. Crea un account gratuito per aprirla in YC Insights, accanto a ogni altro batch YC.
Domande Frequenti
Questa è l'application YC reale di Decawork?
No. Y Combinator mantiene private le application inviate. Questa è una ricostruzione: le domande del form YC reale, a cui si è risposto usando i dati pubblici di Decawork (note di lancio, background dei founder, descrizione del prodotto). Mostra come un'azienda come Decawork si presenterebbe a YC, non il testo che hanno inviato.
A quale batch YC apparteneva Decawork?
Decawork apparteneva al batch Summer 2026 di Y Combinator.
Chi ha fondato Decawork?
Decawork è stato fondato da Aman Raj, Sarthak Aggarwal.
Cosa fa Decawork?
Training company-specific models that approve AI actions.
Come leggo la ricostruzione completa della application?
Crea un account Round Funded gratuito. La versione completa di 26 risposte della application di Decawork, e di ogni altro batch YC, è in YC Insights.
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