Build vs. Buy: Voice AI Evaluation Infrastructure Decision Guide
Blog post from Coval
When considering whether to build or buy voice AI testing and evaluation infrastructure, it's crucial to weigh the time, cost, and resources involved. Building the infrastructure in-house can take 6-12 months and requires a dedicated team of engineers, with costs ranging from $500K to $1M for the initial build, plus ongoing maintenance expenses. This option is advisable if voice AI is your core product, if you have unique requirements, or if you need deep integration with proprietary systems. On the other hand, purchasing a platform can have you up and running in 2-4 weeks with significantly lower upfront costs, making it a suitable choice if voice AI is a capability rather than the core product, if engineering resources are limited, or if you have standard evaluation needs. A hybrid approach, combining both strategies, can also be beneficial, allowing companies to use a ready-made platform for core functions while developing custom integrations as needed, especially if they are in the early or growth stages of deploying voice AI solutions.
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