Comparing SignalWire vs

LiveKit

Plivo

Telnyx

Twilio

—— Platform comparison

SignalWire vs.

Twilio

Twilio gives you APIs to move calls and messages. SignalWire gives you the control plane that owns the interaction, so you build your app, not the backbone.

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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 embedded inside the media engine, not bolted on 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 Twilio does well and where the architecture differs.

What Twilio does well

Twilio made programmable voice and messaging mainstream: mature REST APIs, a huge SDK ecosystem, and global reach. If you need to move a call or send a message from code, it is well documented and it works.

The structural difference

Twilio is built for stateless transactions, not stateful AI interactions. ConversationRelay is a text relay over a WebSocket. The RELAY bus it echoes dates to 2018. You rebuild interaction state, transfer logic, and the orchestrator yourself; SignalWire owns them inside the media engine.

Side by side

SignalWire vs. Twilio, category by category.

The scannable verdict, with the receipts. Every claim traces to a source.

Category

Twilio

Infrastructure ownership

APIs over a CPaaS layer; the media path and AI are assembled from separate services and webhooks.

Owns the full stack: carrier-grade telephony, media engine, and AI kernel, built by the FreeSWITCH team.

Latency (measured)

2–4s typical for bolt-on architectures. These are publicly reported figures, not our benchmark.

~1200ms typical conversational turn, measured full round-trip by open-source latency_checker; 800ms on an optimized stack, 600ms with speech-to-speech models.

Turn-taking & barge-in

ConversationRelay relays text; turn detection is yours to tune across the WebSocket bridge.

Fusion turn detection is native to the media layer. It ships with the platform and keeps improving.

Who fixes problems

An issue can span the services you have stitched; the orchestrator is your code.

One vendor, one answer. We wrote the code, so we fix it.

Operational surface

One vendor for transport, but AI state, transfers, and logging stay on you.

One platform, one bill, one event stream. You stop being on call for four or five vendors.

AI voice cost

Voice + ConversationRelay + your own STT/LLM/TTS vendors, each billed separately.

$0.16/min runtime (STT + LLM + TTS + orchestration); $0.163–$0.168/min all-in typical with transport.

Pricing transparency

Multiple line items across Twilio and the AI vendors you bring.

One transparent rate, with no orchestration fee stacked on separately billed vendor costs.

Model flexibility

Bring your own models via webhooks; you own the integration glue.

Model-agnostic kernel: cascaded pipelines and speech-to-speech through the same interfaces. Swap models as config, not code.

Twilio

Infrastructure ownership

APIs over a CPaaS layer; the media path and AI are assembled from separate services and webhooks.

Latency (measured)

2–4s typical for bolt-on architectures. These are publicly reported figures, not our benchmark.

Turn-taking & barge-in

ConversationRelay relays text; turn detection is yours to tune across the WebSocket bridge.

Who fixes problems

An issue can span the services you have stitched; the orchestrator is your code.

Operational surface

One vendor for transport, but AI state, transfers, and logging stay on you.

AI voice cost

Voice + ConversationRelay + your own STT/LLM/TTS vendors, each billed separately.

Pricing transparency

Multiple line items across Twilio and the AI vendors you bring.

Model flexibility

Bring your own models via webhooks; you own the integration glue.

Infrastructure ownership

Owns the full stack: carrier-grade telephony, media engine, and AI kernel, built by the FreeSWITCH team.

Latency (measured)

~1200ms typical conversational turn, measured full round-trip by open-source latency_checker; 800ms on an optimized stack, 600ms with speech-to-speech models.

Turn-taking & barge-in

Fusion turn detection is native to the media layer. It ships with the platform and keeps improving.

Who fixes problems

One vendor, one answer. We wrote the code, so we fix it.

Operational surface

One platform, one bill, one event stream. You stop being on call for four or five vendors.

AI voice cost

$0.16/min runtime (STT + LLM + TTS + orchestration); $0.163–$0.168/min all-in typical with transport.

Pricing transparency

One transparent rate, with no orchestration fee stacked on separately billed vendor costs.

Model flexibility

Model-agnostic kernel: cascaded pipelines and speech-to-speech through the same interfaces. Swap models as config, not code.

Migration

Migrating from Twilio

Whether the switch is a weekend or a quarter comes down to how much orchestration you carry today.

Port or parallel-run your numbers

Number porting is supported, and you can run both platforms in parallel during cutover; no flag-day risk.

Swap your endpoint, not your app

SignalWire's Compatibility API accepts Twilio-style requests, so most migrations start by changing the API endpoint and credentials, not rewriting the application.

Move your AI workloads

Rebuild prompt-and-pray agent configs as governed SWML agents, typically less code than the original, because state management, turn detection, and transfers are platform-native.

Get migration help

Professional Services for assisted migration, Support Plans for ongoing coverage, and the docs site for the self-serve path.

Talk to a migration specialist

Not sure what your migration looks like? Get a validated estimate for your exact setup and architecture reviewed by an engineer.

Talk to an expert

Port or parallel-run your numbers

Number porting is supported, and you can run both platforms in parallel during cutover; no flag-day risk.

Swap your endpoint, not your app

SignalWire's Compatibility API accepts Twilio-style requests, so most migrations start by changing the API endpoint and credentials, not rewriting the application.

Move your AI workloads

Rebuild prompt-and-pray agent configs as governed SWML agents, typically less code than the original, because state management, turn detection, and transfers are platform-native.

Get migration help

Professional Services for assisted migration, Support Plans for ongoing coverage, and the docs site for the self-serve path.

Talk to a migration specialist

Not sure what your migration looks like? Get a validated estimate for your exact setup and architecture reviewed by an engineer.

Talk to an expert

Port or parallel-run your numbers

Number porting is supported, and you can run both platforms in parallel during cutover; no flag-day risk.

Swap your endpoint, not your app

SignalWire's Compatibility API accepts Twilio-style requests, so most migrations start by changing the API endpoint and credentials, not rewriting the application.

Move your AI workloads

Rebuild prompt-and-pray agent configs as governed SWML agents, typically less code than the original, because state management, turn detection, and transfers are platform-native.

Get migration help

Professional Services for assisted migration, Support Plans for ongoing coverage, and the docs site for the self-serve path.

Talk to a migration specialist

Not sure what your migration looks like? Get a validated estimate for your exact setup and architecture reviewed by an engineer.

Talk to an expert

Migration from Twilio

copy

# Point your SDK at SignalWire. Same request shape
export TWILIO_ACCOUNT_SID="your-project-id"
export TWILIO_AUTH_TOKEN="your-api-token"
curl -X POST \
	https://your-space.signalwire.com/api/laml/2010-04-01/Accounts/$TWILIO_ACCOUNT_SID/Calls.json \
-u "$TWILIO_ACCOUNT_SID:$TWILIO_AUTH_TOKEN" \
	--data-urlencode "From=+15551112222" \
	--data-urlencode "To=+15553334444" \
	--data-urlencode "Url=https://your-app.com/handler.xml"
# The LaML your Twilio app already returns keeps working

Migration from Twilio

copy

# Point your SDK at SignalWire. Same request shape
export TWILIO_ACCOUNT_SID="your-project-id"
export TWILIO_AUTH_TOKEN="your-api-token"
curl -X POST \
	https://your-space.signalwire.com/api/laml/2010-04-01/Accounts/$TWILIO_ACCOUNT_SID/Calls.json \
-u "$TWILIO_ACCOUNT_SID:$TWILIO_AUTH_TOKEN" \
	--data-urlencode "From=+15551112222" \
	--data-urlencode "To=+15553334444" \
	--data-urlencode "Url=https://your-app.com/handler.xml"
# The LaML your Twilio app already returns keeps working

Migration from Twilio

copy

# Point your SDK at SignalWire. Same request shape
export TWILIO_ACCOUNT_SID="your-project-id"
export TWILIO_AUTH_TOKEN="your-api-token"
curl -X POST \
	https://your-space.signalwire.com/api/laml/2010-04-01/Accounts/$TWILIO_ACCOUNT_SID/Calls.json \
-u "$TWILIO_ACCOUNT_SID:$TWILIO_AUTH_TOKEN" \
	--data-urlencode "From=+15551112222" \
	--data-urlencode "To=+15553334444" \
	--data-urlencode "Url=https://your-app.com/handler.xml"
# The LaML your Twilio app already returns keeps working

Migration from Twilio

copy

# Point your SDK at SignalWire. Same request shape
export TWILIO_ACCOUNT_SID="your-project-id"
export TWILIO_AUTH_TOKEN="your-api-token"
curl -X POST \
	https://your-space.signalwire.com/api/laml/2010-04-01/Accounts/$TWILIO_ACCOUNT_SID/Calls.json \
-u "$TWILIO_ACCOUNT_SID:$TWILIO_AUTH_TOKEN" \
	--data-urlencode "From=+15551112222" \
	--data-urlencode "To=+15553334444" \
	--data-urlencode "Url=https://your-app.com/handler.xml"
# The LaML your Twilio app already returns keeps working

Customer proof

2,000+ companies build on SignalWire

“Previous providers had a lack of industry knowledge and a lack of transparency... the speed of support with Twilio - the amount of time it takes to get an answer - it takes sometimes over a week to get a response. SignalWire support members know what they’re talking about and I can get an answer right there.”

Mark Lilien

Co-founder and CTO of Textline

Mark Lilien

Co-founder and CTO of Textline

Frequently asked questions

Everything you might want to know before you switch from Twilio, from pricing to migration.

Why do contact centers need a control plane instead of a CPaaS?

Traditional CPaaS platforms treat interactions as transactions: fire a webhook, receive an event, manage state yourself. This breaks when AI is involved, since agents need context from earlier in the call and need to coordinate handoffs without losing the thread. A control plane keeps all of this inside the platform, so your systems observe and instruct it instead of reconstructing it.

How do AI agents work in a SignalWire contact center?

SignalWire's AI kernel runs inside the media engine, in the same system that carries the call; the control plane is the programmable surface (SWML) you govern it through. Calls are handled under constraints defined in SignalWire Markup Language (SWML): which tools the AI can invoke, what data it can see, when to escalate. If it needs customer data or a workflow trigger, it calls a SWAIG function; your backend returns what happens next while the platform coordinates the millisecond-level media operations.

How does SignalWire handle context when a call transfers from an AI agent to a human?

Call state lives in SignalWire's control plane rather than in the AI agent or your application, so context carries over automatically. When a caller moves from AI to a human agent, the full interaction history, collected data, and routing context travel with the call, because the call never leaves the platform.

What protocols does SignalWire support for contact center infrastructure?

The control plane is protocol-agnostic. PSTN, SIP trunks, WebRTC browser clients, and messaging channels all route to the same resources under the same logic. One AI agent can handle phone, web, and messaging without separate code paths, and transfers between protocols preserve context.

Can I integrate SignalWire with Salesforce, HubSpot, or Zendesk?

Yes. SignalWire connects to CRMs and business systems via SWAIG functions. When an agent or call flow needs customer data, it calls a function that queries your CRM and returns the result. Any system with an API can be integrated this way.

Moving off Twilio? See the difference on your own stack.

Spin up test credentials in minutes, or walk your Twilio migration through with an engineer. No flag-day risk.

Start building

Talk through your migration

Moving off Twilio? See the difference on your own stack.

Spin up test credentials in minutes, or walk your Twilio migration through with an engineer. No flag-day risk.

Start building

Talk through your migration

Moving off Twilio? See the difference on your own stack.

Spin up test credentials in minutes, or walk your Twilio migration through with an engineer. No flag-day risk.

Start building

Talk through your migration

Moving off Twilio? See the difference on your own stack.

Spin up test credentials in minutes, or walk your Twilio migration through with an engineer. No flag-day risk.

Start building

Talk through your migration