Arga Labs Raises $10 Million to Train Enterprise AI Agents

Enterprise AI agents often struggle not because of the underlying model, but because business software is difficult to reproduce for training. Systems such as Salesforce and Workday retain state, enforce permissions and interact through webhooks, making repeated reinforcement-learning trials hard to run or reset. Arga Labs builds full-scale digital twins of those applications, giving developers controlled, repeatable environments in which agents can practice workflows spanning multiple systems before being deployed.

Arga Labs said on Aug. 26, 2026, that it raised $10 million in a seed round led by General Catalyst, with participation from Box Group, Emergence, Gradient and SV Angel. The startup is developing training environments for Salesforce, Workday and email clients that preserve software structure, permissions and webhooks while allowing scenarios to be reset or run in parallel. The approach is designed to improve agent accuracy and reliability when tasks overlap across applications and knowledge systems.