The AI voice layer that lives on top, not the one that locks you in.
Run Grok Voice, OpenAI Realtime, Gemini Live, and Azure Voice Live on carrier-grade infrastructure, without rebuilding your stack every time a new AI voice platform emerges.
Run on carrier-grade. Ship on any platform.
The T+ network is platform-agnostic beneath the AI layer. Whichever AI voice platform your team builds on, the carrier infrastructure underneath it doesn't change.
Build real-time conversational AI agents on Grok Voice running on the T+ carrier network. Full PSTN access, carrier-grade call quality, and T+ Insights to monitor performance across every agent interaction.
Connect OpenAI Realtime voice models to the PSTN through the T+ network. Low-latency carrier infrastructure keeps conversational latency tight so the AI experience matches the network quality beneath it.
Deploy Gemini Live voice agents at carrier scale. The T+ network delivers the concurrent session capacity, geographic redundancy, and 99.999% up-time that production AI voice workloads require.
Organizations already in the Microsoft ecosystem can run Azure Voice Live on the same carrier-grade network as their Teams Phone deployment. One network beneath both the AI voice layer and the enterprise telephony layer.
The carrier network stays constant. The AI layer evolves.
Your AI voice application connects via the T+ Voice API or SIP trunking
AI voice platforms connect to the T+ network through the Voice API (REST/WebSocket) or via SIP trunking, whichever matches the AI platform's integration surface. No new infrastructure required on your end.
T+ routes every call across carrier-grade infrastructure
Every AI voice call, inbound or outbound, traverses the T+ carrier network anchored by four data centers across North America. Call quality, latency, and reliability are carrier-grade by default, not negotiated after the fact.
T+ Insights monitors every interaction in real time
Answer rates, call quality scores, early media detection, and SIP diagnostics: T+ Insights runs beneath every AI voice call. When performance drifts, you see it in real time before it affects outcomes.
Swap AI voice platforms without touching your carrier layer
When the next AI voice platform emerges, the T+ network doesn't change. Swap platforms at the AI layer, keep the carrier infrastructure beneath it. This is what "not locked in" means operationally: not a marketing line, a structural reality.
AI models are advancing fast. Infrastructure quality is the constant.
Latency compounds in AI voice
AI voice models introduce inference latency. Carrier network latency adds on top. On a carrier-grade network, the infrastructure latency stays minimal, so the AI experience is constrained only by the model, not the network beneath it.
Concurrent session scale
AI voice agents operate at volume, handling hundreds or thousands of simultaneous conversations. The T+ network is built for this. Unlimited concurrent sessions on a carrier-grade backbone built for outbound operations at scale.
Platform-shift protection
Three AI voice platforms from 18 months ago are already legacy. The T+ network was the infrastructure beneath them. When the next shift arrives, operations that run on T+ don't rebuild from the carrier layer up. They swap at the AI layer only.
The numbers that matter for AI voice operations.
AI voice performance is only as good as the carrier network beneath it. These are the metrics that determine whether an AI voice deployment succeeds or stalls, and the numbers Teams Plus delivers.
When AI voice agents can't reach the PSTN reliably, no amount of model quality compensates. Carrier-grade infrastructure is the foundation, not the feature.
How you deploy matters more than what you deploy.
Talk to a Teams Plus engineer about your AI voice infrastructure. No demo. No deck. Just a conversation.