PolyAI vs. Simple: an enterprise voice AI comparison
Compare PolyAI and Simple across voice quality, omnichannel support, sales use cases, deployment, and pricing.

PolyAI and Simple are both voice-first platforms for enterprise contact centers. PolyAI brings a long voice-AI track record, wide language coverage, and highly natural custom voices. Simple combines voice depth with digital channels, backend actions, and a stronger emphasis on sales outcomes.
The right choice depends on whether you need a voice specialist or a managed communications program that treats revenue as part of the job.
The short answer
Choose PolyAI if broad language coverage, custom brand voices, and a vendor focused primarily on enterprise voice support are the main requirements.
Choose Simple if you need voice plus chat, SMS, and email, or if the agent must qualify, recommend, upsell, and take actions in backend systems.
Side by side
Feature | Simple | PolyAI |
|---|---|---|
Primary job | Support and sales: containment, qualification, upsell | Voice assistants for contact centers |
Origin | Voice-first platform for high-volume call centers | Voice AI research (founded 2017) |
Channels | ✅ Voice, chat, SMS, email | ⚠️ Voice (inbound, outbound), some digital |
Key results | ✅ 75% containment, 36% upsell lift | ✅ 2,000+ deployments, 45 languages |
Commercial model | ✅ Platform fee + per-minute consumption | ⚠️ Custom per-minute, bundled services |
Deployment | ✅ As little as 10 days with white-glove support | ⚠️ Enterprise implementation cycle |
Revenue use cases | ✅ Support plus qualification and upsell | ❌ Primarily support automation |
Where PolyAI is strong
PolyAI has built enterprise voice assistants since 2017 and reports more than 2,000 live deployments across 45 languages. Its conversation modeling handles interruptions and topic changes well, while custom voices give large brands more control over how the agent sounds.
For organizations focused on multilingual support automation, that production history and language breadth deserve serious weight.
Where Simple differs
Simple runs voice, chat, SMS, and email from one platform and treats support and sales as connected work. At Omaha Steaks, its agents contained up to 75% of inbound sales calls and increased the upsell rate by 36% over live agents.
The platform also includes deep system actions. In one customer evaluation, Simple captured requested information verbatim, was judged more accurate, and produced responses the buyer generally preferred. A serious evaluation should test account retrieval, backend updates, payment, escalation, and relevant product offers, because those tasks separate a natural voice from a useful contact-center agent.
Deployment and ownership
PolyAI uses a custom enterprise implementation and bundles tuning, maintenance, and support into per-minute pricing. Its model is a good fit for teams that want a specialist voice partner.
Simple can deploy in as little as 10 days with flow design, integrations, testing, QA, analytics, and continued tuning included. The goal is to make one team accountable for the production program, not only the voice layer.
How pricing behaves
PolyAI quotes each customer and generally prices per minute with services included. Simple charges a platform fee plus per-minute consumption. In either case, compare the operating work included in the contract, not just the minute rate.
Put both products on real calls
Give each vendor the same support and sales flows. Include an interruption, authentication, a backend change, and a product recommendation. Compare completed work, containment, revenue per call, language performance, and the speed of corrections.
A polished voice sample is useful. Production calls show whether the agent can act while the conversation is moving.
Questions buyers ask
Is Simple an alternative to PolyAI?
Yes. Both address enterprise voice, while Simple adds broader channel coverage and a managed program built around support and sales outcomes.
Who should choose PolyAI?
PolyAI fits teams that prioritize multilingual voice support, custom voices, and a specialist vendor with a long deployment history.
What should a bake-off measure?
Measure completed tasks, containment, revenue, escalation quality, and the time required to repair failures. Natural speech alone is not enough.
Put Simple on your calls
Use your own recordings and a representative call flow. Book a demo to compare Simple with the system your team is considering.