---
id: 20261010-T0-13
title: "Synthesis Through Simulation: Generating Coherent Enterprise Data via Scalable Agent-System Interaction"
url: https://ai.daily.yangsir.net/daily/20261010-T0-13
issue_date: 2026-10-10
publish_date: 2026-10-09T04:00:00.000Z
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2610.10549
---

# Synthesis Through Simulation: Generating Coherent Enterprise Data via Scalable Agent-System Interaction

arXiv:2610.10549v1 Announce Type: new Abstract: Tool-calling agents have become central to enterprise AI, yet training and evaluating them at scale remains severely constrained due to business and legal restrictions on enterprise systems, data, and database schemas. Tabular data synthesis offers a n

---

**来源**：[arXiv cs.AI](https://arxiv.org/abs/2610.10549)

**详情页**：https://ai.daily.yangsir.net/daily/20261010-T0-13

---

*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*