TechCrunch · AI · 1 ч назад
Arga Labs is building a better way to train enterprise AI agents
Arga has raised $10 million in a seed funding round that was led by General Catalyst, with participation from Box Group, Emergence, Gradient and SV Angel.
Подробности
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 is one such company, which announced its $10 million seed round on Wednesday. The round was led by General Catalyst with participation from Box Group, Emergence, Gradient and SV Angel.
Arga Labs builds training environments for enterprise software like Salesforce, Workday, and email clients. 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?”