# Arga Labs Raises $10M Seed for Enterprise AI Agent Training Sandboxes

> Arga Labs has raised a $10 million seed round led by General Catalyst to tackle a quietly important problem: how to train enterprise AI agents without letting them loose on real production systems. The company builds full-scale digital twins of software like Salesforce, Workday and email, complete with intact permissions, so agents can learn in a realistic but safe environment. The idea is to let companies run reinforcement learning at scale against these high-fidelity replicas, rehearsing agents on believable scenarios before they touch anything live. The startup was founded by CEO Phillip Li, previously at Amazon, and CTO Akira Tong, who worked at Stripe and Goldman Sachs, and it is running lean with a team of only around four or five people. As enterprises rush to deploy agents into their core tools, the question of how to train and test them safely is becoming urgent. Arga is betting that realistic sandboxes are the missing piece, giving agents somewhere to make their mistakes that is not a customer's actual account.

_Section: [AI Funding Tracker](https://www.wortins.com/funding) · Source: TechCrunch · Published Friday, August 28, 2026_

## Wortins' read

Arga Labs has raised a $10 million seed round led by General Catalyst to tackle a quietly important problem: how to train enterprise AI agents without letting them loose on real production systems. The company builds full-scale digital twins of software like Salesforce, Workday and email, complete with intact permissions, so agents can learn in a realistic but safe environment. The idea is to let companies run reinforcement learning at scale against these high-fidelity replicas, rehearsing agents on believable scenarios before they touch anything live. The startup was founded by CEO Phillip Li, previously at Amazon, and CTO Akira Tong, who worked at Stripe and Goldman Sachs, and it is running lean with a team of only around four or five people. As enterprises rush to deploy agents into their core tools, the question of how to train and test them safely is becoming urgent. Arga is betting that realistic sandboxes are the missing piece, giving agents somewhere to make their mistakes that is not a customer's actual account.

## Source

[Read the full story at TechCrunch](https://techcrunch.com/2026/08/26/arga-is-building-a-better-way-to-train-enterprise-ai-agents/)

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