# Hugging Face — AutoSynthData: Generating Training Data for Enterprise Agents

- Company: Hugging Face (huggingface.co)
- Announced: 2026-10-02T04:01:31+00:00
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://huggingface.co/blog/ServiceNow-AI/autosynthdata
- Record: https://forck.live/items/15683-autosynthdata-generating-training-data-for-enterprise-agents
- Subject: Platform

ServiceNow CoreAI introduces AutoSynthData, a pipeline that identifies capability gaps in a target model by evaluating it in an enterprise environment, then generates and validates new training tasks that exercise those weaknesses. The system uses a stronger teacher model to characterize successful behavior and produces tasks that are feasible, realistic, and difficult for the current model. The approach is illustrated with the EnterpriseOps Gym environment and a released dataset.

## Evidence

Verbatim from https://huggingface.co/blog/ServiceNow-AI/autosynthdata:

> At ServiceNow CoreAI, we built AutoSynthData to turn those capability gaps into training data. It uses a target model's failures and a stronger teacher's successes to decide what the model should learn next, then generates and validates new tasks that exercise those capabilities.

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