Keep Your AI. Replace What’s Underneath.

Your AI agent works. The telephony layer underneath it adds latency, cost, and failure modes that do not scale.

2,000+

companies in production

< 1.2s

typical AI response latency

2.7B

minutes processed annually

$0.16

per minute, AI processing

The Vendor Chain Problem

Your AI Is Only as Fast as the Slowest Vendor

Every vendor adds latency

Your stack routes audio through telephony, STT, LLM, and TTS providers. Each hop adds 100–300ms. Four hops turn a fast LLM into a slow conversation.

Every vendor adds a failure mode

When the call drops at 2am, who gets the ticket? Debugging across four dashboards is the real cost.

State splits across systems

Conversation context lives in webhooks, Redis, and vendor callbacks. Transfers lose context because no single system owns the call state.

Costs compound through the chain

Each vendor marks up the layer below it. A four-vendor stack means four margins stacked on top of carrier costs.

Build a Voice AI Agent

Python

TypeScript

Go

Java

Ruby

PHP

Perl

C++

C#

from signalwire import AgentBase
from signalwire.core.function_result import FunctionResult

class SupportAgent(AgentBase):
    def __init__(self):
        super().__init__(name="Support Agent", route="/support")
        self.prompt_add_section("Instructions",
            body="You are a customer support agent. "
            "Greet the caller and resolve their issue.")
        self.add_language("English", "en-US", "rime.spore:mistv2")

@AgentBase.tool(name="check_order")
    def check_order(self, order_id: str):
        """Check the status of a customer order.
        
        Args:
            order_id: The order ID to look up
        """
        return FunctionResult(f"Order {order_id}: shipped, ETA April 2nd")

agent = SupportAgent()
agent.run()

Multi-Vendor Stack vs. One Platform

Current: Multi-Vendor Stack

• Telephony provider for numbers and PSTN
• Separate STT and TTS providers
• LLM provider with token billing
• Your glue code connects all four systems
• Every vendor adds latency and cost

SignalWire: One Platform

• Phone numbers, SIP, PSTN, media streaming included
• STT and TTS run inside the AI processing engine
• One invoice, sub-second latency
• Your AI logic stays the same
• Replace telephony first, consolidate AI when ready
• AI executes inside the media stack

Migration Path

Move at Your Own Pace

Phase 1: Replace telephony

Point your existing system at SignalWire for phone numbers and PSTN. Your AI orchestration stays unchanged. Immediate cost savings and lower latency.

Phase 2: Consolidate AI processing

Move STT and TTS onto the platform. Eliminate separate provider SDKs and invoices. Reduce network hops and latency.

Phase 3: Full platform

Move your agent logic to the Python SDK. One stack, one vendor, sub-second latency. Scoped prompts and tools per conversation step.

Sigmond Runs on SignalWire

A voice and video AI agent built on the SignalWire SDK, wired to a live knowledge base, able to see what you show him. Build the same thing on voice, phone, WhatsApp, or SIP, or an entire white-label platform with SignalWire as the network underneath.

Keep your AI. Replace what holds it back.

Better latency, lower cost, and a path to the full platform when you are ready.