Decawork

Training company-specific models that approve AI actions.

by Sarthak Aggarwal, Aman·Developer Tools·YC Summer 2026·tracked since Sep 25, 2026
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Monthly revenue–Not shared yet
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Last 30 days–Growth in MRR
Revenue per founder–2 founders

About 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.

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Who founded Decawork?

Decawork was founded by Sarthak Aggarwal, Aman.