Arga Labs is building a better way to train enterprise AI agents

Arga Labs, a new startup focused on improving AI testing for enterprise software, has secured $10 million in seed funding. The round was led Arga's digital twin technology allows it to create a full-scale digital replica of the program, complete with permission systems and web hooks.

CEO Philip Li explains that this approach enables agents to better understand complex interactions between different programs and knowledge systems. For related coverage, explore our detailed analysis on Technology and Digital Systems.

Arga Labs Building Details and Timeline

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Back Making AI agents work in practice is a lot harder than many companies expected — but there’s help on the way. A new crop of startups is finding better ways to test and train those agents before they get deployed, particularly on the complexities of the modern enterprise.

Arga Labs Building Next Steps and Impact

Arga Labs is one such company, which confirmed its $10 million seed round on Wednesday. The round was led Arga Labs builds training environments for enterprise software like Salesforce, Workday, and email clients.

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Where most testing environments settle for a stateless API endpoint, Arga builds a full-scale digital twin of the program, effectively cloning an entire enterprise program with permission systems and web hooks intact. The result is a more robust way to train agents across multiple systems.

CEO and co-founder Philip Li gives the example of a prospective client creating a lead in salesforce, while their colleague reaches out separately through Hubspot.

“Can the agent correctly identify that these two are the same company?” Li says, “Are they able to check whether or not they’ve only sent the email once? Are they able to identify who to send the email to out of the two opportunities?” Agentic systems still struggle with this kind of ambiguity — and he sees Arga Labs’ tools as critical to helping them improve.

Normally, the agent could be trained for a task like this through reinforcement learning: essentially, running the scenario tens of thousands of times and letting only the successful strategies through. But the nature of enterprise software makes that scale of testing nearly impossible.

There’s no easy way to “reset” a system like Salesforce or Outlook when you need to run the same scenario again, much less clone it Arga Labs’ solution is to create a digital recreation of that software — replicating its structure the way a crash test dummy replicates a person. Because Arga has complete control over the environment, it’s simple to reset or modify.

The company can also run many environments at once, training agents on the complex interactions between different programs. The idea is to replicate a person’s full work environment, with specific tasks overlapping between different programs and knowledge systems.