Скачать или смотреть Case Study: ServiceTitan, Nikhil Raju, Machine Learning Engineer

Nikhil Raju, Machine Learning Engineer at ServiceTitan, shares how Vapi became the backbone for their voice AI projects. ServiceTitan, the operating system for the trades serving home contractors and plumbers, initially tried building voice agents in-house but found themselves spending months on infrastructure. With Vapi, they now ship use cases in a single sprint. Nikhil explains how they've expanded from lead collection to full job booking, why Vapi's developer-focused approach and forward-deployed engineering team made the difference, and how engineering velocity transformed their ability to serve customers.

💡 Topics Covered:
Why ServiceTitan chose Vapi over building in-house
Engineering velocity: from months to sprints
Expanding from lead collection to full job booking
Developer-focused platform benefits
Custom feature development with forward-deployed engineers

👤 Featured:
Nikhil Raju - Machine Learning Engineer, ServiceTitan

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