Choosing between cloud and embedded speech-to-text is no longer just a technical decision, but a business model choice that shapes the up front and ongoing costs, bandwidth requirements, privacy options, and fundamental reliability of voice interaction at scale. In this webinar, Sensory’s voice AI experts will unpack the real cost drivers behind cloud-centric speech-to-text (STT) and LLM usage (subscription fees, API usage, concurrency, data transfer, and continuous releases) versus on-device STT and SLM (silicon/BOM, one-time integration, licensing, and controlled upgrade cycles) and hybrid approaches.

We will walk through concrete scenarios from consumer electronics, automotive, retail, and heavy equipment to show where cloud makes sense, where embedded or full on-device stacks win, and how hybrid “STT-on-device, LLM-in-cloud” architectures can cut bandwidth requirements by over 90% while improving performance on just a few bars of coverage. You will leave with a practical decision framework that covers economics, licensing, model size and accuracy tradeoffs, and how small and low-power your voice stack can realistically get on your existing hardware.