Decawork
Training company-specific models that approve AI actions.
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.
- Website
- decawork.ai
- City
- San Francisco
- Country
- United States
- YC batch
- Summer 2026
- Team
- 2 people
- Stage
- Early stage
- AI-native
- Yes
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