Going Native Speech to Speech with Nova Sonic By Or Meirov
Before we dive in, you can try the new PickMyCall experience yourself. Call +97233821132 to make a quick test call and hear the upgraded Nova Sonic voice in real time.
For small and medium sized businesses, every customer call matters. A missed call can easily become a missed opportunity, whether it is a new lead, a returning customer, or someone needing quick support. PickMyCall was created to solve exactly that challenge by giving SMBs an always available AI receptionist that can answer, qualify, and route customer calls in real time with a natural conversational experience.
With the latest upgrade powered by Amazon Nova Sonic, PickMyCall now responds significantly faster than before, reducing delays that often cause callers to give up. The new human like voice experience also prevents situations where customers hang up because the assistant feels robotic or slow. This combination of sub second responsiveness and natural conversation marks a major leap in the quality of the customer experience.
Earlier versions of PickMyCall were built using a traditional pipeline:
speech to text, language model, text to speech.
It worked, but it introduced delays at every stage. Even a short pause can break the flow of a phone conversation, causing callers to talk over the system or feel that it is not truly listening.
At the same time, SMBs were asking for more: better name recognition, faster understanding, fewer errors, and improved call stability. To reach that level, we needed a foundation model built natively for voice to voice interaction.
Amazon Nova Sonic provided exactly what we needed: a unified speech to speech model that both understands and generates voice without relying on multiple systems in between. This architecture change reduced complexity and created a smoother, more predictable call flow.
The performance improvements were immediate:
minimum latency dropped from around two seconds to 300 milliseconds,
maximum latency fell from seven seconds to about two,
and average latency improved from roughly 4.5 seconds to just 800 milliseconds.
These gains pushed PickMyCall into a new tier of conversational quality. Responses arrive almost instantly, and natural turn taking feels fluid, with no awkward pauses or interruptions. During implementation, we also saw improvements in accuracy, name recognition, pronunciation, and stability, resolving issues that previously caused timing errors or call disconnects. The simplicity of integrating Nova Sonic within our existing frameworks allowed us to build and test a fully functioning prototype within days, accelerating our path to a production ready version.
Security remained a priority throughout the process. Running Nova Sonic inside Amazon Bedrock provided full control over how data is handled, encrypted, and protected, reinforcing our enterprise grade approach to privacy and safety.
PickMyCall has always been about helping small businesses turn every call into an opportunity, even when they cannot answer the phone themselves. With this new generation of voice technology, SMBs can deliver a level of responsiveness and customer experience that previously required a full scale service team.
With the Nova Sonic upgrade, PickMyCall now
answers calls instantly and faster than before,
captures and qualifies leads with higher accuracy,
handles complex intent naturally,
keeps callers engaged instead of hanging up,
and ensures no opportunity slips away.
We are continuing to test and refine Nova Sonic across multiple languages and markets, and early feedback is extremely positive. Many customers describe the experience as talking to a real person, not a system. For us, this is only the beginning of what voice based AI can achieve for SMBs around the world.
PickMyCall was built to support how small businesses truly operate, and Nova Sonic is helping us advance that mission faster than ever. A new generation of AI voice is here, and we are excited to bring it to businesses that simply cannot afford to miss a call or a customer again.
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