PolyAI vs Cognigy: which enterprise voice platform fits your contact centre?

So you have got to the enterprise end of the shortlist, and the two names left standing are PolyAI and Cognigy. Good pairing to put head to head, because both sit a long way from the sign-up-on-a-Tuesday tools that fill most of this site. Both build voice agents for large contact centres. Both come with brand-name customers and documented compliance. And both, importantly, hide their price behind a sales conversation. So the first honest thing I can tell you is that this is not a cost comparison. You will not find one cheaper than the other on this page, because neither one publishes a number. This is a fit decision, and fit is the whole of it.

Quick map of where this goes. First the price, or rather the lack of one, because that is the single most important thing to understand before you spend a quarter chasing either. Then who each one is actually built for. Then where each genuinely wins, with the names of real companies using them. Then the build and deploy model, languages, compliance, the NICE acquisition you need to weigh on the Cognigy side, the bit we have not measured yet, and a straight answer at the end.

The price, or rather the absence of one

Let me handle this up front, because it shapes everything else. Look at the cost table on this page and you will see the same word twice: Custom. That is not us dodging the question. It is the honest state of both vendors. Neither PolyAI nor Cognigy publishes a per-minute rate, a per-seat list price, or a pricing page you can self-serve from. Everything is quote-only and sales-led on both sides.

PolyAI’s own pricing page says ongoing use of the voice agent “is priced on a per-minute basis”, and that the rate bundles in performance tuning, maintenance and 24/7 support. What it does not say is what that rate is. There is no figure anywhere on the page. You request a demo, you talk to sales, and you get a custom price, typically on an annual contract. As of May 2026 PolyAI also opened a self-serve build option with the first two months free, which lowers the barrier to trying it, but it still puts no public per-minute figure on the table.

Cognigy does not even bill by the minute. Its billing is metered by usage unit: a “billable conversation” (up to 50 user messages in 24 hours for chat, or up to 10 minutes of a call for voice), plus concurrent voice lines on the Voice Gateway, plus knowledge queries on Knowledge AI. Third-party resellers float an entry point around USD 2,500 a month for standalone Cognigy.AI and enterprise deals well into six figures a year, but those are not Cognigy-published numbers and we have not verified them. So we record no rate rather than guess one.

Here is what that means for you, plainly. Because we will not invent a number neither vendor discloses, every pricing component on both sides is recorded as zero and the cost table reads Custom for both. That is the only honest way to show a vendor that genuinely refuses to publish a price. If a number on a page is what you need to make a decision today, both of these tools fail that test, and something like Retell or Synthflow will serve you better. If a quote and an annual contract are normal for you, the price is not the deciding factor anyway, so read on for the part that is.

Who each one is built for

The split here is not big-versus-small. Both are big. The split is narrow-and-deep versus broad-and-flexible.

PolyAI is a voice-first specialist. It builds a custom voice assistant for your inbound phone line and runs it on its own proprietary model, called Raven, which it says is trained on more than a billion enterprise conversations. The whole product is pointed at one job: answering the phone and holding a real conversation that takes a booking, processes a payment, authenticates a caller, routes to the right team, or handles the everyday questions without passing the caller to a person. If voice is the centre of what you are building, that focus is the point.

Cognigy is broader. It is an omnichannel platform that runs both voice and chat agents across more than 100 languages, and it is built to bring your own pieces. The Voice Gateway is a routing layer rather than a fixed stack: you plug in your own speech-to-text and text-to-speech (that is the part that turns the caller’s words into text and the agent’s text back into speech), choosing from a long list of pre-integrated providers. So a buyer who needs one platform spanning chat and voice, in dozens of languages, with the freedom to swap the speech components, will get further with Cognigy.

That gives you the two clean use-case fits:

• You run a large contact centre, voice is the heart of it, and you want a built-for-you assistant with proven results rather than a kit you assemble. PolyAI. The single-purpose focus and the named-customer track record are doing the work, and the managed Raven model means you are not choosing or maintaining a component stack.
• You need one platform across voice and chat, in many languages, with bring-your-own speech, on-prem options and enterprise governance. Cognigy. The omnichannel breadth, the 100 plus languages and the provider flexibility are exactly what it is built for, and the NICE backing reassures a large buyer.

Where PolyAI wins

PolyAI’s strongest card, by a distance, is the customer story, because the names are real and the results are public. This is rare in this market, where most case studies are anonymous or vague.

Golden Nugget, the Landry’s hotel and casino brand, runs a PolyAI assistant on its central reservations line. PolyAI’s own case study reports it handles 34% of those calls and averages over 300 completed reservations a week, payment details included, which it puts at roughly three days of agent time a week. Pacific Gas and Electric (PG&E), the California utility, deployed PolyAI agents to take emergency calls in English and Spanish during weather outages, which is about as high-stakes as inbound voice gets. UniCredit, the European bank, used a Croatian-speaking assistant to replace a 20-year-old phone menu system. PolyAI also lists Marriott, FedEx and Caesars Entertainment among its enterprise customers. That is the kind of roster a finance team does not assemble lightly, and it is the main reason an enterprise buyer takes PolyAI seriously.

The second win is the voice focus turned into a managed experience. Because PolyAI runs its own Raven model and manages the speech end to end, you are not picking a speech-to-text vendor, a text-to-speech vendor and a model and wiring them together. That is fewer decisions and fewer moving parts to maintain, which for a contact centre whose scarce resource is engineering time, not budget, is worth a lot. PolyAI supports 45 languages as standard, which covers most multilingual inbound lines even if it is short of Cognigy’s headline number.

The third win is compliance breadth on a voice-first product. PolyAI’s compliance page states SOC 2 Type II, HIPAA, GDPR, PCI-DSS (for taking card payments over the phone, which the Golden Nugget deployment actually does), ISO 27001, and the UK government’s Cyber Essentials and Cyber Essentials Plus. We have marked HIPAA, SOC 2 Type II and GDPR true on the strength of that primary source. One honest nuance: PolyAI’s wording is that its systems are “designed to meet” HIPAA requirements “where relevant”, so if you are in US healthcare, confirm the specifics and the signed legal data-handling agreement (the BAA) with sales before you build a clinical workflow on it.

Where Cognigy wins

Cognigy’s win is breadth, and it earns it. Where PolyAI does one thing deeply, Cognigy spans more ground.

The headline win is language coverage. Cognigy supports more than 100 languages (28 dedicated language models plus a Universal Language Model, per its own documentation), against PolyAI’s 45. If your callers and chat users span a genuinely global footprint, that gap is decisive. For a European or multinational operation that has to serve a long tail of languages, Cognigy is simply playing a bigger board.

The second win is the bring-your-own-speech flexibility, which is a real architectural strength rather than a marketing line. The Voice Gateway pre-integrates Deepgram, Microsoft, AWS, Google, Nuance, Soniox, Speechmatics and ElevenLabs for the listening side, taps over 1,000 synthetic voices from the likes of ElevenLabs, Deepgram, Microsoft and AWS for the speaking side, and lets you add a custom provider or even a cloned brand voice. You can also run the speech containers on-premises if data has to stay in your building, which is something PolyAI’s managed model does not offer in the same way. For a buyer with strict data-residency rules, that on-prem option can be the whole decision.

The third win is the customer roster and the omnichannel reach behind it. Lufthansa runs more than 16 AI agents on Cognigy and fields millions of conversations a year. Toyota built a service agent wired into the car’s onboard electronics. Bosch, Mercedes-Benz, Bayer and Nestlé are on the books too, with over 1,250 brands in total per Cognigy’s own homepage. That is voice and chat both, which is the point: if your contact centre is not voice-only, Cognigy covers the channels PolyAI does not.

The fourth is MCP support, the emerging standard for letting an agent call external tools in a controlled way. Cognigy added it in its 2026 releases; PolyAI does not list it. If letting other AI tools orchestrate or feed your agents is on your roadmap, that is a real difference. If it is not, you will never notice it.

The build and deploy model

These two ask different things of you to get live, and the difference matters as much as anything on price.

PolyAI is the built-for-you path. You describe what your line needs to do, and PolyAI builds and tunes the assistant on its Raven model, with the maintenance and 24/7 support folded into the per-minute rate it quotes you. You are buying an outcome more than a toolkit. As of May 2026 there is also a self-serve build option (first two months free) that lets a builder assemble an agent directly, which lowers the barrier to a trial, but the heartland of the product is still the managed, built-for-you enterprise deployment.

Cognigy is the platform path. You get a far more configurable system, the trade being that you are assembling and governing more of it yourself. You choose your speech providers, wire up the channels, build the flows, and decide whether to run anything on-premises. That flexibility is exactly what a large, technically-resourced contact centre wants, and it is why Cognigy’s ease-of-use lands lower in our preview scores than a turnkey tool would. You are not paying for simplicity here. You are paying for control and reach. For a buyer with the engineering bench to use it, that is the right trade. For a buyer without one, it is more platform than they can staff.

So the model split lines up with the use-case split: PolyAI hands you a finished voice assistant, Cognigy hands you a powerful platform to build across channels. Neither is a fast, cheap, ship-this-week tool, and the quote-only pricing on both is the clearest signal of that.

Languages, in plain terms

This one is short, because the numbers do the talking. PolyAI supports 45 languages as standard. Cognigy supports more than 100. Both are well past what most national contact centres need, so for a single-country, two-or-three-language line, either is plenty and the gap will not decide it.

The gap matters when your footprint is genuinely global, or when you need a long tail of less-common languages. UniCredit’s Croatian-speaking assistant on PolyAI shows the specialist coverage can reach beyond the obvious big languages, so do not assume PolyAI is English-and-Spanish only. But if you are mapping out support across dozens of markets at once, Cognigy’s 100 plus is the safer bet, and the bring-your-own-speech model means you can often add a provider that covers a language you need rather than waiting on the platform to support it.

The NICE acquisition, a Cognigy watch-item

Here is the strategic thing you have to weigh on the Cognigy side, because it changes who you are actually buying from. In July 2025 NICE, the contact-centre software giant, agreed to buy Cognigy for about USD 955 million, and the deal closed on 8 September 2025. Cognigy.AI continues as a product, now branded “NiCE Cognigy” and folded into NICE’s CXone Mpower contact-centre platform.

What that means in practice cuts two ways. For a big buyer, it is reassurance: you are no longer betting on an independent German startup, you are buying from a large public company with the resources and longevity that implies, and the commercial motion increasingly runs through NICE’s sales org. If you were specifically betting on a scrappy, independent roadmap, treat the acquisition as a strategic watch-item instead, because product direction and pricing now sit inside a much larger company’s plans. PolyAI, by contrast, is still independent, so its roadmap is its own. Whether that is a plus or a minus depends entirely on which kind of vendor you would rather build a multi-year contract on.

Compliance and trust

If you are in healthcare, finance or anywhere regulated, this section may decide it, so here are the specifics from each vendor, and there is one clear difference.

PolyAI documents SOC 2 Type II, HIPAA, GDPR, PCI-DSS, ISO 27001, and Cyber Essentials plus Cyber Essentials Plus. We mark HIPAA, SOC 2 Type II and GDPR true on the strength of its compliance page. The caveat, again, is that PolyAI’s HIPAA wording is “designed to meet” requirements “where relevant”, so a US healthcare buyer should pin down the BAA in writing before building anything clinical.

Cognigy’s list is also serious, and clearly built for the regulated European enterprise: SOC 2 Type II, ISO 27001, ISO 27701, ISO 42001 (the AI-management standard), TISAX, BSI C5, and GDPR with EU data processing plus on-prem and private-cloud deployment for strict data-residency rules. But here is the difference that matters: we did not find HIPAA on Cognigy’s stated certification list, so we mark HIPAA false here. If you are a US healthcare buyer who needs a signed BAA, that is a real gap. Do not assume it is covered. Ask NICE Cognigy sales directly and get it in writing.

So on compliance, both are heavyweight, but they tilt differently. PolyAI ticks HIPAA (with the wording caveat) and brings PCI-DSS for card payments over the phone. Cognigy does not list HIPAA but brings a deeper European-governance and data-residency story (TISAX, BSI C5, ISO 42001, on-prem). Match that to where you operate and what you are regulated under.

What we have not tested yet

Time for the honest limit. We have not placed our own timed test calls to either PolyAI or Cognigy yet, so you will not find a Voxrater latency figure for either on this page. Latency, the gap before the agent responds, is the thing that makes a voice agent feel human rather than awkward, and it is exactly the kind of number we will not estimate. When the test rig ships, we will run the same outbound scenarios against both and publish p50, p95 and the dates.

The 1 to 10 scores in the tables above are an editorial preview too, our provisional read from each vendor’s public information, not yet from blind listening tests. They sit close on voice quality and range, with both scoring low on ease of use, which is honest for two enterprise platforms you cannot self-serve in an afternoon, and low on value for money only because we cannot see the price to judge it. Read the scores as a starting position we will correct once the calls land, not as a measured result.

Three questions that actually decide it

If you want to skip the prose, answer these.

1. Is voice the heart of it, or do you need voice and chat together? Voice-first leans PolyAI. Omnichannel voice plus chat leans Cognigy.
2. How many languages and how much speech flexibility do you need? A handful, with a managed model, leans PolyAI. Dozens, with bring-your-own speech and on-prem, leans Cognigy.
3. Does a HIPAA tick matter to you today? Yes leans PolyAI, which lists it (confirm the BAA). If you are fine without it, or you are EU-governed, Cognigy’s wider European-compliance story competes.

Bottom line

My lean is PolyAI for most readers who land on this page, and the reason is the named, sourced customer results. Golden Nugget at 34% of reservation calls, PG&E on emergency lines, UniCredit replacing a two-decade-old phone menu: that is proof a voice-first buyer can point a board at, and it is rarer than it should be in this market. Pick PolyAI if voice is the centre of your contact centre, you want a built-for-you assistant rather than a platform to staff, you value documented results and a HIPAA tick, and you can run a sales cycle and an annual contract.

Pick Cognigy if your need is genuinely broader: one platform across voice and chat, 100 plus languages against PolyAI’s 45, bring-your-own speech with on-prem deployment for data-residency rules, and the enterprise governance a large European operation checks for. You give up the HIPAA tick (confirm with sales if you need it) and you take on more of the build yourself, and in return you get reach and flexibility PolyAI does not match. Weigh the NICE ownership while you are at it: reassurance for a big buyer, a watch-item if you wanted an independent roadmap.

If you are genuinely on the fence, decide on channels and languages first, because that is the cleanest split. Voice-only and a manageable language list, go PolyAI. Voice plus chat across a global footprint, go Cognigy. Then read the full PolyAI review and Cognigy review for the per-vendor detail, and remember that on price, both will hand you a quote and not a number, so get it in writing before you sign anything.