Leave one workflow and your number. The AI identifies itself, asks a few focused questions and prepares a structured brief.
Streaming speech to text, an agent brain, turn taking and text to speech run as one pipeline behind every call, tested and swappable without slowing the conversation.
Channels arrive on the left, the speech core answers in the middle with memory and tools at its shoulders, and the outcome leaves on the right. The whole path is tested and monitored release after release.
Each caller turn moves through five steps, from the line to the reply. Two guarantees hold across all five.
SIP, virtual PBX and connected telephony routes carry the call into the core, and outbound calling rules apply before a number is dialed.
See telephony in depthThe call is transcribed in real time, then corrected and normalized before the agent reasons, so an accent, an interruption or a mid-sentence pause does not skew what was said.
It reads intent with memory of earlier turns and other channels, checks guardrails and policy before it speaks or acts, and uses the tools it needs mid-call.
A dedicated model runs barge-in, so the caller can cut in mid-sentence, and end-of-turn detection, so the agent does not talk over a pause or sit through a finished answer.
Each brand picks a curated voice from the library, with a persona for pace, formality and tone, accent correction and a pronunciation dictionary for names, places and product terms.
On every turn
When a tool or model runs long, a short, natural filler from DRING's approved set keeps the turn moving.
Speech, language and voice models are chosen per agent and per language, and a workflow can route to a different model without a re-platform.
Yes. A call and a message about the same customer share one case and one memory, and prompt defense, fact checking and data masking run the same way on both.
A short, natural filler from DRING's approved set keeps the turn moving while the response finishes behind it, never in an apology, a number or the closing.
Yes. Speech-to-text, language and text-to-speech providers are each swappable per agent and per language, and a workflow can route to a different model without a re-platform.
A dedicated turn-taking model handles it: barge-in lets a caller interrupt mid-sentence, and end-of-turn detection tells the agent when the caller has actually finished, so it does not talk over a pause or sit through a completed answer.
From a curated library, chosen per brand and per language, with a persona set for pace, formality and tone, accent correction applied to the voice, and a pronunciation dictionary for names, places and product terms.
Submit your context with consent and DRING will call, identify itself and qualify how the speech core would handle your busiest line.