Sign inGet started
Paper · arXiv

MiniCorp: The Last Mile to an AI Agent Corporation

The last mile toward enterprise AGI is a company that runs itself. Training and adapting such agents require longitudinal enterprise data, which remain scarce, costly to acquire, and often restricted by privacy constraints. Historical archives are also frequently incomplete and record only what actually happened. They cannot show the outcomes of alternative decisions. We introduce MiniCorp, an office simulator for studying how agents can collectively run a company while generating enterprise data at scale. Using an e-commerce company as a demonstration, MiniCorp connects two interacting worlds. The external world models customers, dynamic competitors, and market mechanisms. The internal w...

AuthorsJingying Zeng, Zhenwei Dai, Jinning Li et al.
Primary categorycs.AI
Published5 October 2026
Last updated at source13 October 2026
cs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/839640c5-c0f1-44fc-bf02-89a6b842164f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

0 now. Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.