The company trains AI agents on realistic software clones so they can manage complex enterprise workflows.

Arga Labs announced a $10 million seed round on Wednesday to build training environments for enterprise AI agents, with General Catalyst leading the investment and Box Group, Emergence, Gradient, and SV Angel participating.

Arga Labs, co-founded by CEO Philip Li, builds these environments to address the ambiguity that plagues agentic systems. Li cites a scenario where an agent must connect a lead created in Salesforce with a separate HubSpot outreach and confirm that the email was sent only once.

For builders and operators, Arga’s approach closes the reinforcement gap between coding and business applications. AI coding tools advanced quickly because developers already have tools to deploy, reverse, and analyze code; Arga wants to provide that same capability for enterprise software.

With this funding, Arga can scale its training environments and draw more attention to the challenge of evaluating enterprise agents. The company aims to help AI systems master the overlapping workflows of a person’s full work environment, which can make business software far more automatable.

What matters

• Arga Labs raised $10 million in a seed round led by General Catalyst to train enterprise agents.
• Arga builds full digital twins of enterprise software for agent reinforcement learning.
• Watch for AI agents improving on complex cross-system enterprise tasks after this funding.

Why it matters

Watch for AI agents improving on complex cross-system enterprise tasks after this funding.

This GenAI News article was prepared in original wording using reporting and materials published by TechCrunch AI. Source reference: https://techcrunch.com/2026/08/26/arga-is-building-a-better-way-to-train-enterprise-ai-agents/.

Drafted by the GenAI News review pipeline.