Choose the intelligence around the job to be done.
Combine the language model, speech recognition, voice, and agent logic that suit your workflow. Keep provider choice connected to customer experience, operational reliability, and the cost of a completed conversation.
A voice stack you can shape as requirements change.
A conversation, connected to your business.
Compose the conversation
Select recognition, reasoning, and speech separately to match language needs, voice character, and task complexity.
- Multi-provider STT and TTS
- Language model selection per agent
- Speech-to-speech options
Set your ownership boundary
Use managed providers, bring your own credentials, or connect your own agent brain and inference services.
- Per-tenant BYOK vault
- Customer-hosted agent brain
- Self-hosted inference options
Tune for the business outcome
Use provider health and routing controls with quality and cost review to keep the configuration accountable.
- Provider fallback and recovery
- Cost, latency, and complexity routing
- Conversation cost and quality visibility
From a conversation
to a completed task.
Connect the steps that make the outcome possible.
- 01
Choose the acceptance criteria
Define what a successful interaction means, which languages matter, and the time and cost constraints for the workflow.
- 02
Compare complete configurations
Run the same representative conversations against your candidate provider combinations. Include interruptions, tool calls, and provider failure.
- 03
Operate with an explicit policy
Set permitted providers and fallback behavior. Review outcome quality, tail latency, and cost per completed task when changing the configuration.
Make it useful
in your business.
Start with a specific conversation, connect the right systems, and define what a successful outcome looks like.
Language-specific provider selection
BYOK enterprise deployments
Voice products with an existing agent brain
Cost-aware workflow scaling
Can we keep our existing model or agent?
Yes. Bring provider credentials or connect a customer-hosted agent brain. Define which system owns conversation state, tool execution, and handoffs during integration.
Will choosing a cheaper model always reduce cost?
Inspect the completed workflow. Retries, longer conversations, incorrect actions, and human rework can outweigh a lower model price, so compare quality and total conversation cost together.
What happens when a provider becomes unavailable?
Configure provider fallbacks and graceful-degradation rules, then test them with your voice, language, tool, and data requirements. Your policy determines the acceptable alternative.
Keep exploring.
Make the conversation feel at home.
Give customers a voice they can follow, in the language they choose. Shape pronunciation, pace and turn-taking together so the agent listens as carefully as it speaks.
Explore productTools & IntegrationsConnect the conversation to the work behind it.
Give agents approved actions in your CRM, calendar, helpdesk and business systems. Turn a spoken request into a structured operation, then bring the result back into the conversation.
Explore productQuality & EvaluationMake the next release better than the last conversation.
Turn production conversations into tests, evaluate the voice experience and compare agent changes before publishing. Give quality a repeatable workflow that includes knowledge, actions, timing and handoffs.
Explore productGive every conversation
somewhere better to go.
Start with one agent. Build an operation around what works.