—— Platform comparison
SignalWire vs.
Telnyx
Telnyx gives you the pieces: SIP here, TTS/STT there, AI somewhere else. SignalWire gives you one programmable runtime where media, routing, and the AI kernel share the same environment.
SignalWire positioning
A different philosophy: own the interaction, don't just transport it.
Communications has never had a control plane, a layer that owns interaction state, lifecycle, routing, and outcomes. CPaaS gave developers APIs but pushed state management, transfer logic, and compliance logging back onto every customer. SignalWire is defining Programmable Unified Communications: the missing layer. One carrier-grade orchestrator holds call state and AI-engine state in sync, with the AI kernel running inside the media engine, not haphazardly connected through webhooks and WebSocket bridges. Built by the FreeSWITCH team, the same technology powering major UCaaS and CCaaS platforms for two decades. Most voice AI is "prompt and pray," behavior governed by prompts alone. SignalWire's System-Directed AI constrains the model with code: scoped tools, step machines, and validation before execution. The AI can't leak what it doesn't know or break rules it doesn't enforce. Trusted across 2,700+ companies and 2.7 billion minutes and messages annually.
Where the architecture differs
What Telnyx does well and where the architecture differs.
WHAT TELNYX DOES WELL
Telnyx owns network infrastructure and gives developers low-level telecom control: carrier selection, routing, number provisioning, and private connectivity. For carrier-grade voice and SIP trunking at competitive rates, it is a capable platform.
THE STRUCTURAL DIFFERENCE
Telnyx is a CPaaS that treats AI as an architectural afterthought. Media streams, external logic layers, and orchestration tools are separate services you stitch together, an integration tax paid in latency, cost, and engineering time. Even the basics, like transfers and state management, turn into an engineering burden. SignalWire runs the AI kernel inside the media layer, so responses are real-time with no extra network hops.
Side by side
SignalWire vs. Telnyx, category by category.
The scannable verdict with the receipts. Every claim traces to a source.
Disclosure Statement: Latency numbers come from the open-source latency_checker benchmark, measured as a full round-trip on stereo recordings. Deliverability, campaign approval, and support response comparisons are based on publicly reported user experiences.
Migration
Migrating from Telnyx
Whether the switch is a weekend or a quarter comes down to how much orchestration you carry today.

Customer proof
2,000+ companies build on SignalWire

What is the difference between PUC and a CPaaS like Telnyx?
A CPaaS gives you APIs to move calls and messages; you assemble AI, state, and orchestration on top of them. Programmable Unified Communications puts voice, messaging, video, and the AI kernel in one runtime, so multi-agent handoffs preserve context by default with no separate services to connect.
How fast can I get an A2P 10DLC campaign approved?
Same-day brand approval and a 48-hour campaign turnaround, with concierge review to get the submission right the first time and real-time status tracking so you are never guessing.
Does SignalWire own its telephony infrastructure?
Yes. It is built by the FreeSWITCH team with no third-party CPaaS underneath. The same technology powering major UCaaS and CCaaS platforms for two decades, with native SIP connectivity and distributed PoPs.
Can I keep my phone numbers if I switch?
Yes. Number porting is supported, and you can run both platforms in parallel during cutover, so there is no flag-day risk.
How does SignalWire's pricing compare to Telnyx?
SignalWire bills one transparent rate, about $0.16/min runtime for STT, LLM, TTS, and orchestration. A Telnyx-based AI stack adds separately billed STT/TTS and orchestration vendors on top of telephony, so the all-in number is usually higher than the headline rate.
How does SignalWire measure its latency claims?
With the open-source latency_checker, which measures the full conversational round-trip on stereo recordings, not a single model hop. Typical turns land around 1200ms, 800ms on an optimized stack, and 600ms with speech-to-speech models. Be skeptical of sub-500ms claims that measure only part of the path.




