Voice AI case studies often headline an outcome while omitting the machinery that produced it. Implementation teams need the call trigger, data contract, conversation boundary, tool actions, escalation path, and measurement plan. We build Dasha for that production layer. These implementation…
Dasha.AI Team
Voice activity detection looks simple: label each audio frame as speech or non-speech. In a live voice agent, that decision controls whether a caller's first syllable survives, when the agent responds, and whether background noise triggers an interruption. Understanding the path from raw frames to…
Dasha.AI Team
An AI agent can turn one bad model response into an account change, message, booking, or API call. That makes agent security an architecture problem for any team giving models tools, memory, or access to business data. We build and run production voice AI agents at Dasha, where a spoken turn can…
Dasha.AI Team
The OpenAI Realtime API puts live audio, model reasoning, and spoken responses in one stateful session. That can shorten the voice path, but a working demo still leaves important architecture decisions to your team. Here is how the current API works, which transport to use, what it costs, and what…
Dasha.AI Team
Moving a phone operation to the cloud often exposes a hidden dependency: the software platform also wants to become the telecom provider. Bring Your Own Carrier (BYOC) separates those decisions. That separation can preserve numbers, contracts, routing, and regional coverage, but it also leaves your…
Dasha.AI Team
SIP trunking looks simple on a network diagram. Production failures tend to hide in the details: signaling succeeds while audio fails, a codec mismatch rejects calls, or a campaign exceeds the carrier's call-rate limit. A sound design treats routing, media, security, capacity, and recovery as…
Dasha.AI Team
A white-label AI voice agent can put your brand in front of clients within days. The harder question is what sits behind that brand. Your choice determines who owns the customer experience, runtime, data, billing, support, and migration risk. The right platform depends on whether you are packaging…
Dasha.AI Team
A voice agent can sound convincing in a demo and still fail on a live phone line. The difference is usually in the stack around the model: audio transport, turn detection, state, tools, cancellation, and the evidence your team gets when something goes wrong. A useful architecture therefore starts…
Dasha.AI Team
A missed call leaves both sides guessing. The caller does not know whether anyone noticed, and the recipient does not know why they called. A clear message closes that gap. For businesses with recurring call volume, we help technical teams build inbound voice agents that answer, qualify, and route…
Dasha.AI Team
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