Tested like software
Every agent runs through workflow simulations, evaluation criteria and regression checks before a controlled production release.
Technology
The production voice AI stack
Every DRING agent runs on one stack: speech-to-speech core, infrastructure, telephony, tools and post-call outcomes, operated and tested for your agreed deployment.
Submit the process you want to improve and hear how DRING qualifies the need in the callback flow.
The stack
One stack, one accountable team
The speech-to-speech core, infrastructure, telephony, security, quality testing and data masking are built, operated and tested as one system, not stitched together from separate vendors.
Speech-to-speech core
Streaming speech to text, the agent brain, turn taking, text to speech, a memory service, a tool service and a decision engine, wired together as one pipeline per agent.
Infrastructure
Deployment infrastructure with routing, monitoring and failover configured for the operating model agreed with your team.
Telephony
SIP, virtual PBX and connected telephony routes, with outbound calling rules applied before a number is dialed.
Security
Six tested standards, from prompt defense to data residency, mapped to the deployment rather than presented as a certification.
Quality & testing
Workflow simulations, evaluation criteria and regression checks before controlled launch, with review evidence retained for the agent release.
Voice Anonymizer
Personal data masked at source, before a recording or transcript is ever stored, with voices de-identified for QA and evaluation sets.
Call path
How a call moves through the stack
DRING is not a wrapper on someone else's voice platform: we own the path from SIP trunk to speech, so we can intervene at every step and anonymize voice for privacy law.
A call enters through a connected carrier, your own switch or a messaging channel, follows the deployment route and is answered by the agent. What the agent decides leaves as an outcome in your systems, with the agreed failover path available when a service component degrades.
Principles
Three rules the stack never breaks
The layers change as the platform grows. These do not.
Operated, not shipped
DRING runs the line end to end: monitoring, staged rollouts and a named incident playbook come with every agent, so nothing is handed over and forgotten.
Swappable models, region-pinned
Speech, language and voice models are chosen per agent and swapped without a rebuild. Deployment routing follows the configuration agreed for your operation.
Kept current
Always the latest, highest-quality services
Speech, language and voice services are reviewed on a regular cadence, not chosen once and left alone. When a stronger option becomes available for a language or a workflow, it is evaluated against what is currently running before anything changes on a live call.
A candidate service only replaces the current one after it clears the same regression suite the rest of the stack runs before every release. See the quality and testing pipeline for how that suite works.
What stays true, release after release
- Speech-to-text, language and text-to-speech services are checked on a regular cadence, not fixed at launch
- The highest-quality available service is selected per language and per workflow, not applied as one default everywhere
- A candidate service has to clear the full regression suite before it can replace the one in production
- A switch ships in controlled stages, with the previous service kept available for rollback
Voice pipeline quality
What happens to speech, both ways
Voice quality is not one setting. It is a sequence of corrections and controls applied on every call, from the moment audio comes in to the moment the agent replies.
Text-to-speech quality
The voice reading back to the caller is chosen for naturalness and clarity for that language and workflow, not left at a generic default.
Pronunciation and accent correction
Names, places and product terms carry pronunciation corrections so the agent says them the way the business does, and accent correction is applied to the voice itself.
Speech-to-text error correction and normalization
What the caller says is normalized before the agent reasons over it. An ambiguous reading, a dropped negation, a number, a name, is confirmed back to the caller rather than assumed.
Turn control
Barge-in lets a caller interrupt the agent 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.
Resilience
What happens when something slips
A voice call has more moving parts than a chat message. The stack is built to absorb the ordinary failure modes without the caller noticing, and to fail safely where it cannot.
| Event | What the caller hears | What the system does |
|---|---|---|
| An API or the language model takes longer than usual to answer | A short, natural filler from DRING's approved set, never in an apology, a number or the closing | The agent keeps the turn moving while the response finishes behind it |
| A language model provider has an issue | No noticeable change in the conversation | The call can fail over to a working provider where failover is configured for that agent |
| A telephony path degrades | No noticeable change on a new call | Traffic can move to the standby path automatically; see infrastructure regions |
| A call goes silent, loops or ends abnormally | Nothing further, the call has already ended | The call is flagged for review instead of waiting for someone to notice the pattern |
List hygiene and warnings
Clean lists in, watched calls out
Outbound quality starts before a number is dialed and continues for as long as a call is live.
Before a number is dialed
- Phone numbers are normalized to a consistent format before a list is worked
- A duplicate-call check runs by default, so the same contact is not queued twice at once
- A do-not-disturb request stops further outbound contact for that number
- Calling windows, retry counts and daily caps are enforced before dialing, not after
Once a call is live
- Failed calls, silent lines and abrupt hangups are flagged automatically for review
- A live agent's scores are watched continuously, and drift outside the expected range raises an alert
- Alerts route to the team responsible before a customer has to point out the pattern
- A flagged call and a drift alert land in the same review queue, not a separate dashboard nobody checks
See the quality page for how live scoring works.
FAQ
Technology questions
Do we need to understand every layer before we start?+
No. Onboarding is handled by DRING's team. The stack works the same regardless of how deep into the detail you want to go.
Can we swap out one part of the stack, like the phone lines?+
Yes. Telephony can run on your existing PBX or on DRING's lines, and speech, language and voice models are swappable per agent, independent of everything else. See telephony in depth.
Where is the security and compliance detail?+
On the security page: six tested standards, how each is checked, and the workflow-specific detail on prompt defense and retention. Treat the page as product context, not a certification.
What does the caller hear if a response is slow?+
A short, natural filler from DRING's approved set, used sparingly and never in an apology, a number or the closing. See the resilience table above for the full list of what happens when something slips.
How are outbound lists kept clean?+
Numbers are normalized before a list is worked, a duplicate-call check runs by default, and a do-not-disturb request stops further outbound contact for that number. See list hygiene and warnings.
See the stack on your own call flow
Submit context and consent for a callback. DRING calls in two minutes, identifies itself and qualifies how the stack would handle your busiest line.