Technology
AI startup Arga raises $10 million to train enterprise agents using digital twins
Led by General Catalyst, the seed funding will help Arga build replica software environments for multi-system AI testing.
The short version
- AI startup Arga has secured $10 million in seed funding to develop specialized training and testing environments for enterprise AI agents.
- The company builds full-scale "digital twins" of business software like Salesforce, Workday, and email clients, allowing developers to safely train agents via reinforcement learning.
- By replicating and easily resetting complex software setups, Arga aims to bridge the gap in training AI for non-coding business tasks.
Key facts
- Arga raised $10 million in a seed funding round led by General Catalyst, with additional participation from Box Group, Emergence, Gradient, and SV Angel.[TechCrunch]
- The startup was co-founded by CEO Philip Li.[TechCrunch]
- Instead of using stateless API endpoints, Arga creates full-scale digital twins of enterprise software—complete with web hooks and permission systems—to serve as sandboxes for AI agents.[TechCrunch]
- The sandbox replication allows developers to repeatedly run and reset reinforcement learning scenarios across multiple connected software programs simultaneously.[TechCrunch]