Arga raises $10M seed to build enterprise-software 'digital twins' for AI agent training
Arga, a startup led by CEO Philip Li, announced a $10 million seed round led by General Catalyst, with Box Group, Emergence, Gradient and SV Angel also participating. The company builds full replicas of enterprise tools like Salesforce, Workday and email clients, complete with permissions and web hooks, so AI agents can be trained and tested repeatedly without disrupting live systems.
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Reinforcement learning typically requires running scenarios thousands of times, but enterprise software can't easily be reset or cloned, making that kind of iterative training impractical at scale. By simulating realistic, resettable environments, Arga addresses a core bottleneck holding back reliable enterprise AI agents, potentially accelerating how quickly businesses can safely automate cross-system workflows.
- Arga raised $10M in seed funding led by General Catalyst.
- Its platform creates full digital replicas of enterprise software rather than simple API endpoints.
- The approach aims to solve the reset-and-scale problem that limits reinforcement learning for enterprise AI agents.
AI Engineering" by Chip Huyen (book) — If Arga's push to test and train enterprise agents has you curious about what actually makes these systems reliable, Chip Huyen's AI Engineering is a great grounding read. It walks through evaluation, deployment, and the messy realities of building applications on foundation models — exactly the problems startups like Arga are trying to solve.
See AI Engineering" by Chip Huyen (book) on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: techcrunch.com — Russell Brandom, 2026-08-26
Published there as: “Arga is building a better way to train enterprise AI agents”
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