PolyAI
PolyAI builds enterprise voice AI agents that resolve complex customer calls end to end in 40+ languages.
PolyAI is the pick when your calls carry real consequences — regulated claims, authentication, outages — and you can staff a proper deployment with a project owner. You are paying per minute for audio-native dialog models (Dialog-RSN-1, with a <300ms voice-to-voice figure quoted in production), a compliance stack that already covers HIPAA, PCI DSS and residency, and the option to run the model in your own AWS environment via SageMaker. If you want a bot live this afternoon from a cheap self-serve voice API, or your calls are simple FAQ deflection, you are overpaying — look there instead.
Verified 1h ago · liveness 74/100 · cite: rightaichoice.com/tools/polyai
- Enterprise contact centers handling authentication, disputes, fraud reports and outage triage by voice
- Healthcare systems wiring voice agents into the EHR under HIPAA-aligned workflows
- Financial services and insurance teams requiring PCI DSS and SOC 2+ Type 2
- Telecom, utility and travel teams automating account management and bookings at volume
- Small teams wanting a voice bot live in an afternoon without a project owner
- Pure FAQ deflection where a cheap voice API gives the same outcome
- Buyers unwilling to pay per-minute rates that scale with call volume
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Skip PolyAI if your calls are simple FAQ deflection and you want a bot running this week from a cheap self-serve voice API — the per-minute enterprise model only pays back on consequential, high-volume conversations.
Ongoing voice agent use is metered per minute, so your bill moves with call volume and average handle time rather than staying flat.
Priced for enterprise contact centers running consequential call volume: per-minute billing bundles proactive performance improvements, maintenance and 24/7 support, with a 99.9% uptime SLA on phone lines. Smaller teams comparing against self-serve voice APIs will find the bundled support and compliance stack hard to justify at low volume; teams comparing against a full contact-center platform rebuild will find it a lighter commitment.
In short
PolyAI — PolyAI builds enterprise voice AI agents that resolve complex customer calls end to end in 40+ languages. Best for Enterprise contact centers handling authentication, disputes, fraud reports and outage triage by voice, Healthcare systems wiring voice agents into the EHR under HIPAA-aligned workflows, Financial services and insurance teams requiring PCI DSS and SOC 2+ Type 2. Contact Sales pricing.
No head-to-head comparison for PolyAI yet — the alternatives below are the closest matches we list.
What's new in PolyAI
Checked todayAcross the latest 2 updates: 1 launch and 1 news mention.
Dialog-RSN-1 is now on AWS SageMaker
PolyAI's Dialog-RSN-1 voice model is now available on AWS SageMaker, letting enterprise teams deploy it inside their own AWS environments.
Why model speed is only part of voice latency
PolyAI breaks down voice latency beyond model inference speed, pointing to pipeline and telephony overhead as major contributors.
What people actually say about PolyAI — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
20 mentions across 2 sources (Hacker News, YouTube) · researched Aug 4, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Lifelike voice synthesis praised in Bloomberg demo and Hacker News.
- +Full-stack dialog agents handle fraud, outage, and multilingual disputes naturally.
- +Enterprise-grade compliance: SOC 2, HIPAA, GDPR, PCI DSS covered.
- +Raven model trained on 1B+ enterprise conversations for domain expertise.
- +Real-time adaptation from every dialog improves agent responses over time.
- −Almost zero independent community feedback exists to validate claims.
- −Pricing not public—'contact us' only, per-minute costs opaque.
- −Name collision with Poly.AI chatbot creates brand confusion.
- −No verified user reports on reliability or support responsiveness.
- −Intermediate skill level may deter non-technical small businesses.
- • No public pricing—likely volume minimums or setup fees
- • Potential integration costs for contact center systems
- • APIs may have separate charges per message or per minute
- • Custom model tuning might add cost
Viability Score
How well maintained and how widely used is PolyAI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Enterprise voice AI agents for complex inbound and outbound calls
- Dialog-RSN-1 audio-native model reasons directly over raw call audio
- Dialog-RSN-1 deployable in your own AWS environment via Amazon SageMaker
- Under 300ms voice-to-voice model response in production
- 89.8 turn-taking accuracy and 3.7% word error rate reported in production
- Dialog-RAVEN-3.5 text dialog model at ~280–600ms cascade latency
- Same agent carried across voice, webchat, SMS and messaging
- Wren coding agent continuously builds, tests and optimizes deployed agents
- Dialog Studio for designing, building, testing and orchestrating dialog experiences
- No-code Dialog Agent surface plus full-code path via ADK
- Developer tooling: client libraries, APIs, MCP, CLI, Platform API and Model API
- Direct Epic EHR integration for healthcare voice agents; MedMod supported
- Compliance built in: SOC 2+ Type 2, ISO 27001, PCI DSS, GDPR, HIPAA support
- SIP/TLS + SRTP, mTLS, SSO and RBAC encryption and access controls
- Data residency in US, UK, EU and APAC with no cross-region transfer
About PolyAI
PolyAI is an agentic dialog platform for enterprise contact centers. Its agents take hard phone conversations — authentication, billing disputes, fraud reports, outage triage, bookings — and resolve them without escalating to a human. Buyers sit in financial services, healthcare, insurance, telecom, travel, hospitality, retail and utilities. The platform runs on PolyAI's own dialog models rather than a chatbot with audio bolted on. Dialog-RSN-1 is the flagship: an audio-native model that reasons directly over raw call audio for turn-taking, recognition and response in one pass, reporting under 300ms voice-to-voice response, 89.8 turn-taking accuracy and a 3.7% word error rate in production. As of October 2026 it is available on AWS SageMaker, so you can run it inside your own AWS environment. Dialog-RAVEN-3.5 handles text-based dialog at roughly 280–600ms cascade latency and carries the same agent across webchat, SMS and messaging. Wren, launched September 2026, is a coding agent that continuously builds, tests and optimizes the agents you deploy. Build paths run from Dialog Agent (no-code) to the ADK, MCP, CLI and Platform/Model APIs (full code). Governance ships as standard: SOC 2+ Type 2, ISO 27001, PCI DSS, GDPR and HIPAA support, SIP/TLS with SRTP and mTLS, SSO/RBAC, PII redaction, human-in-the-loop guardrails, and data residency in the US, UK, EU and APAC with no cross-region transfer. Customer data is never used for training without opt-in. PolyAI publishes 100M+ calls a year, 10,000 concurrent calls, 99.994% uptime on a trailing twelve-month basis, and 90% of calls resolved end to end with no human agent on its largest deployments. It sits in the enterprise tier of contact-center voice AI, not the cheap self-serve voice API bracket.
Behind the Verdict
The thing that separates PolyAI from most of the voice AI market is that it did not start as a text chatbot with speech recognition glued on. Dialog-RSN-1 reasons directly over raw call audio for turn-taking, recognition and response in a single audio-native pass, and PolyAI publishes the numbers rather than the adjectives: under 300ms voice-to-voice response, 89.8 turn-taking accuracy, 3.7% word error rate, all in production. Its text counterpart Dialog-RAVEN-3.5 runs a roughly 280–600ms cascade and carries the same agent across webchat, SMS and messaging, so you are not rebuilding the conversation per channel. The second differentiator is operational rather than model-level. Wren, launched September 2026, is a coding agent that designs, builds, tests and continuously optimizes deployed dialog agents — a direct answer to the fact that voice agents drift as your call mix changes and someone has to keep tuning prompts, flows and tools. Dialog Studio plus the ADK means the same platform spans no-code flow building and full-code control, with MCP, CLI, Platform API and Model API for teams that want to own the plumbing. The October 2026 SageMaker availability matters for regulated buyers: it means Dialog-RSN-1 can run inside your own AWS account rather than only in PolyAI's cloud, which removes a common procurement blocker in financial services and healthcare. Governance is unusually complete for this category: SOC 2+ Type 2, ISO 27001, PCI DSS, GDPR and HIPAA support, SIP/TLS with SRTP and mTLS on transport, SSO and RBAC, PII redaction and human-in-the-loop guardrails on every turn, plus residency in the US, UK, EU and APAC with no cross-region transfer and a no-training-without-opt-in commitment. The Epic integration shipped in August 2026 and MedMod support make healthcare a first-class vertical rather than a vertical slide. The honest constraints are commercial and organisational. Pricing is per minute with proactive performance improvements, maintenance and 24/7 support bundled in, but the actual rate is not published — you request a demo and get a quote. That model rewards buyers with predictable, high-value call volume and punishes anyone hoping to experiment cheaply. Deployment is vendor-led: agents are designed and built through Dialog Studio/ADK with PolyAI's team, not signed up for self-serve, so you need an internal owner for the project, an integration path into your CRM or EHR, and a realistic timeline rather than a weekend. The 99.9% SLA covers phone line uptime specifically. If your calls are simple FAQ deflection or you have no compliance obligations and no appetite for per-minute costs that scale with volume, a cheaper self-serve voice API will get you the same outcome.
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Real-world workflow fit
Concrete scenarios for the personas PolyAI actually fits — and what changes day-one when you adopt it.
Route outage reports, billing disputes and account authentication calls to a Dialog-RSN-1 voice agent built in Dialog Studio, connected to your CRM through the Connect Portal and open APIs.
Outcome: Agents resolve the majority of these calls end to end without a human, and Wren keeps tuning flows and tools as the call mix shifts.
Deploy voice agents wired into Epic for appointment scheduling, triage and patient questions, under HIPAA-aligned workflows and US data residency.
Outcome: Scheduling and triage calls are handled without adding staff, with the agent reading and writing to the EHR through the direct Epic integration.
Run fraud-report and claims-status conversations on Dialog-RSN-1, either in PolyAI's cloud or inside your own AWS account via SageMaker, with PII redaction and human-in-the-loop guardrails active.
Outcome: Regulated conversations are handled at volume with PCI DSS and SOC 2+ Type 2 coverage and no cross-region data transfer.
Use Cases
- Automate billing and payment inquiries for telecom and utility customers
- Handle patient scheduling, triage and EHR lookups in healthcare contact centers
- Resolve insurance policy questions and claims status conversations
- Manage hotel and restaurant reservations across voice and SMS
- Authenticate customers securely during support calls using natural conversation
- Provide multilingual service in customers' own languages across regions
- Handle outage triage and incident reporting for utilities
- Run fraud-report and dispute conversations for financial services
Models Under the Hood
as of 2026-10-16
Limitations
- Ongoing voice agent use is billed per minute, and the pricing page does not publish the rate — you request a demo and get a quote, so cost modelling depends on your call mix and average handle time.
- Implementation is vendor-led: agents are designed and built through Dialog Studio/ADK rather than through a self-serve signup, which means you need an internal project owner and a real integration path into your CRM or EHR.
- The 99.9% SLA covers phone line uptime specifically, not every surface.
- The platform is positioned at enterprise buyers, so smaller teams with low call volume and no compliance obligations will find the commercial model heavy relative to a self-serve voice API.
as of 2026-10-18
Verification history
We have re-verified PolyAI 20 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where PolyAI's pricing actually pencils out — and where peers do it cheaper.
Priced for enterprise contact centers running consequential call volume: per-minute billing bundles proactive performance improvements, maintenance and 24/7 support, with a 99.9% uptime SLA on phone lines. Smaller teams comparing against self-serve voice APIs will find the bundled support and compliance stack hard to justify at low volume; teams comparing against a full contact-center platform rebuild will find it a lighter commitment.
Setup time & first value
How long it actually takes to get something useful out of PolyAI — broken out by persona, not the marketing-page minute.
Expect weeks, not hours. PolyAI's team builds agents with you in Dialog Studio and the ADK, so the clock starts at the demo and depends on how many systems (CRM, EHR, telephony) you connect. Teams with clean APIs and a named internal owner move fastest; Epic-connected healthcare deployments take longest because of the integration and compliance review.
Switching to or from PolyAI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a legacy IVR: rebuild call flows as Dialog Agents in Dialog Studio, then route the same numbers over SIP/TLS to the agent.
- →From a self-serve voice API: port intent logic and tool calls into the ADK, then use Wren to test and optimize against your real call recordings.
- →From a text chatbot vendor: move the dialog to Dialog-RAVEN-3.5 so the same agent covers webchat and SMS alongside voice.
- →From in-house speech pipelines: replace the ASR/NLU/TTS cascade with Dialog-RSN-1's audio-native path and keep your back-end tools via the Platform API.
- ↗To a self-serve voice API: export conversational flows and rebuild them in the API vendor's prompt/agent format.
- ↗To an in-house stack: port tool definitions and logic from the ADK into your own orchestration layer and re-point telephony.
- ↗To another enterprise contact-center platform: re-implement integration and compliance mapping, since residency and certification coverage differ by vendor.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “PolyAI”, and we withheld 5: 5 could not be judged, because “PolyAI” is a single word that other videos use for other things. Showing the 1 we can prove is about PolyAI.
Official links
Tools that pair well with PolyAI
Common stack mates teams adopt alongside PolyAI, with the specific reason each pairing earns its keep.
Decagon
Decagon builds enterprise AI concierge agents for chat, voice, and email that resolve customer support without engineering sprints.
Synthflow AI
Synthflow AI runs enterprise voice AI agents on its own telephony network for automated phone calls at scale.
ElevenLabs Conversational AI
Deploy low-latency conversational AI voice agents across 90+ languages in minutes.
Alternatives to PolyAI
View all
Decagon
Decagon builds enterprise AI concierge agents for chat, voice, and email that resolve customer support without engineering sprints.
Synthflow AI
Synthflow AI runs enterprise voice AI agents on its own telephony network for automated phone calls at scale.
ElevenLabs Conversational AI
Deploy low-latency conversational AI voice agents across 90+ languages in minutes.
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